From 76de4550e0b002d6e6b255c7e1a099e560de34b3 Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Sun, 13 Aug 2023 21:18:27 -0700 Subject: [PATCH 01/14] Added files-->connection_test is the one to run --- Image_based/branchpointdetection.py | 27 +- marshall/D435_640x480.camera.npz | Bin 0 -> 3180 bytes marshall/camera.py | 306 +++++++++++++++++ marshall/connection_test.py | 205 +++++++++++ marshall/curve_fitting.py | 516 ++++++++++++++++++++++++++++ marshall/depth0485.png | Bin 0 -> 81795 bytes marshall/follower_mask0485.png | Bin 0 -> 10865 bytes marshall/mask0485.png | Bin 0 -> 19464 bytes marshall/params.py | 7 + 9 files changed, 1048 insertions(+), 13 deletions(-) create mode 100644 marshall/D435_640x480.camera.npz create mode 100644 marshall/camera.py create mode 100644 marshall/connection_test.py create mode 100644 marshall/curve_fitting.py create mode 100644 marshall/depth0485.png create mode 100644 marshall/follower_mask0485.png create mode 100644 marshall/mask0485.png create mode 100644 marshall/params.py diff --git a/Image_based/branchpointdetection.py b/Image_based/branchpointdetection.py index ef7234b..b30df55 100644 --- a/Image_based/branchpointdetection.py +++ b/Image_based/branchpointdetection.py @@ -9,7 +9,7 @@ import json from os.path import exists from bezier_cyl_2d import BezierCyl2D -from line_seg_2d import draw_line, draw_box, draw_cross, LineSeg2D +from line_seg_2d import LineSeg2D from scipy.cluster.vq import kmeans, whiten, vq class BranchPointDetection: @@ -67,18 +67,19 @@ def __init__(self, path, image_name, b_output_debug=True, b_recalc=False): # For each of the trunk/branches, see if we have reasonable upper left/lower right points # Save points in debug image + if b_output_debug: self.images_single["marked points"] = np.copy(self.images_single["masked"]) for im in self.images: try: p1 = im["stats"]["lower_left"] p2 = im["stats"]["upper_right"] - draw_line(im["image"], p1, p2, (128, 128, 128), 2) - draw_line(self.images_single["marked points"], p1, p2, (128, 128, 128), 1) + LineSeg2D.draw_line(im["image"], p1, p2, (128, 128, 128), 2) + LineSeg2D.draw_line(self.images_single["marked points"], p1, p2, (128, 128, 128), 1) pc = im["stats"]["center"] - draw_cross(im["image"], pc, (128, 128, 128), 1, 2) - draw_cross(self.images_single["marked points"], pc, (180, 180, 128), 1, 3) + LineSeg2D.draw_cross(im["image"], pc, (128, 128, 128), 1, 2) + LineSeg2D.draw_cross(self.images_single["marked points"], pc, (180, 180, 128), 1, 3) cv2.imwrite(self.path_debug + image_name + "_" + im["name"] + "_points.png", im["image"]) except: @@ -111,8 +112,8 @@ def __init__(self, path, image_name, b_output_debug=True, b_recalc=False): # Draw the original, the edges, and the depth mask with the fitted quad im["quad"].draw_bezier(im_orig_debug) if im["quad"].is_wire(): - draw_cross(im_orig_debug, im["quad"].p0, (255, 0, 0), thickness=2, length=10) - draw_cross(im_orig_debug, im["quad"].p2, (255, 0, 0), thickness=2, length=10) + LineSeg2D.draw_cross(im_orig_debug, im["quad"].p0, (255, 0, 0), thickness=2, length=10) + LineSeg2D.draw_cross(im_orig_debug, im["quad"].p2, (255, 0, 0), thickness=2, length=10) else: im["quad"].draw_boundary(im_orig_debug, 10) im["quad"].draw_edge_rects(im_covert_back, step_size=params["step_size"], perc_width=params["width"]) @@ -158,8 +159,8 @@ def __init__(self, path, image_name, b_output_debug=True, b_recalc=False): # Draw the original, the edges, and the depth mask with the fitted quad im["quad_flow"].draw_bezier(im_orig_debug) if im["quad_flow"].is_wire(): - draw_cross(im_orig_debug, im["quad_flow"].p0, (255, 0, 0), thickness=2, length=10) - draw_cross(im_orig_debug, im["quad_flow"].p2, (255, 0, 0), thickness=2, length=10) + LineSeg2D.draw_cross(im_orig_debug, im["quad_flow"].p0, (255, 0, 0), thickness=2, length=10) + LineSeg2D.draw_cross(im_orig_debug, im["quad_flow"].p2, (255, 0, 0), thickness=2, length=10) else: im["quad_flow"].draw_boundary(im_orig_debug, 10) im["quad_flow"].draw_edge_rects(im_covert_back, step_size=params["step_size"], perc_width=params["width"]) @@ -202,8 +203,8 @@ def __init__(self, path, image_name, b_output_debug=True, b_recalc=False): if b_output_debug: for p, v in self.branch_points: - draw_box(self.images_single["marked points"], p, (254, 128, 254), 6) - draw_line(self.images_single["marked points"], p, p + v, (128, 254, 254), 1) + LineSeg2D.draw_box(self.images_single["marked points"], p, (254, 128, 254), 6) + LineSeg2D.draw_line(self.images_single["marked points"], p, p + v, (128, 254, 254), 1) cv2.imwrite(self.path_debug + image_name + "_" + "_marked_joins_points.png", self.images_single["marked points"]) @@ -333,7 +334,7 @@ def fit_quad(self, im, b_output_debug=True): quad = BezierCyl2D(pts['lower_left'], pts['upper_right'], 0.5 * pts['width']) # Current parameters for the vertical leader - params = {"step_size": int(quad.radius_2d * 1.5), "width_mask": 1.4, "width": 0.3} + params = {"step_size": int(quad.radius * 1.5), "width_mask": 1.4, "width": 0.3} # Iteratively move the quad to the center of the mask for i in range(0, 5): @@ -482,4 +483,4 @@ def find_branch_point(self, im_trunk, im_sidebranch): for im_i in range(0, 18): name = str(im_i) print(name) - bp = BranchPointDetection(path, name, b_output_debug=True) + bp = BranchPointDetection(path, name, b_output_debug=False) diff --git a/marshall/D435_640x480.camera.npz b/marshall/D435_640x480.camera.npz new file mode 100644 index 0000000000000000000000000000000000000000..9f9051ce7e1e9c3ac4d65e2d857db806067cc39c GIT binary patch literal 3180 zcmWIWW@Zs#fB;1Xk$b|IP5?O|%*r6b;H{TeP|3(302Tl#0!e_tWWP|~fJjD$GKOmP zl+@znB6TYTb(=H`bsYuuwEUuyqQt!T{Gyapkhoi7PH`$wyf`DVAQi~hFxF8p*3?m` zRUjL10iAFlQ=r)a^2oMoax$Q0fB= dist1: + var = var1 + ind = i + dist = dist1 + else: + distance_arr.append(dist2) + var2 = end_pt_2 + dist = dist2 + + if prev_dist >= dist2: + var = var2 + ind = i + dist = dist2 + + prev_dist = dist + + return ind, var, dist + + def depth_scoring(self, closest_depth, end_depth): + + return abs(closest_depth - end_depth) + + def check_angle_match(self, vec_1, vec_2): + + angle = np.arccos( + np.clip(np.dot((vec_1 / np.linalg.norm(vec_1)), (vec_2 / np.linalg.norm(vec_2))), -1.0, 1.0)) * ( + 180 / np.pi) + + if angle < p.angle_limit: + return 1 + + elif angle > p.angle_limit: + return 0 + + else: + return 0.5 + + +def set_axes_equal(ax): + """ + Make axes of 3D plot have equal scale so that spheres appear as spheres, + cubes as cubes, etc. + + Input + ax: a matplotlib axis, e.g., as output from plt.gca(). + """ + + x_limits = ax.get_xlim3d() + y_limits = ax.get_ylim3d() + z_limits = ax.get_zlim3d() + + x_range = abs(x_limits[1] - x_limits[0]) + x_middle = np.mean(x_limits) + y_range = abs(y_limits[1] - y_limits[0]) + y_middle = np.mean(y_limits) + z_range = abs(z_limits[1] - z_limits[0]) + z_middle = np.mean(z_limits) + + # The plot bounding box is a sphere in the sense of the infinity + # norm, hence I call half the max range the plot radius. + plot_radius = 0.5 * max([x_range, y_range, z_range]) + + ax.set_xlim3d([x_middle - plot_radius, x_middle + plot_radius]) + ax.set_ylim3d([y_middle - plot_radius, y_middle + plot_radius]) + ax.set_zlim3d([z_middle - plot_radius, z_middle + plot_radius]) + + +def manage_arrs(curve_2d, depth_arr): + split_curve = np.split(curve_2d, 2, 1) + _x = np.delete(split_curve[0], -1) + _y = np.delete(split_curve[1], -1) + _z = np.asarray(depth_arr) + full_arr = np.array([_x, _y, _z]).T + return _x, _y, _z, full_arr + + +if __name__ == '__main__': + """ + For testing purposes, build your own arrays: + branch1 = [0.5, 0.5, -0.5] + x1 = np.linspace(0, 0.5, 5) + y1 = np.linspace(0, 0.5, 5) + z1 = np.linspace(0.5, -0.5, 5) + + branch2=[0, 0, 2] + x2 = np.linspace(0, 0, 5) + y2 = np.linspace(0, 0, 5) + z2 = np.linspace(0, 2, 5) + follower_curve_pts = np.array([x2, y2, z2]).T + leader_curve = np.array([x1, y1, z1]).T + """ + + camera = c.PinholeCameraModel() + camera.from_npz(p.cam) + assert isinstance(camera, c.PinholeCameraModel) + + d = Depths_Average(p.depth_img, p.mask_img) + rad, curve_pts, curve, ts = d.get_radii() + depth, num_pix = d.find_average() + + d2 = Depths_Average(p.depth_img, p.follower_msk) + rad2, curve_pts2, curve2, ts2 = d2.get_radii() + depth2, num_pix2 = d2.find_average() + + x1, y1, z1, leader_pts = manage_arrs(curve_pts, depth) + x2, y2, z2, follower_pts = manage_arrs(curve_pts2, depth2) + + dm = Determine_Match() + end1 = follower_pts[0] + end2 = follower_pts[-1] + + index, end_pt, minimum_distance = dm.return_closest(leader_pts, end1, end2) + depth_score = dm.depth_scoring(z1[index], end_pt[2]) + leader_tan = curve.tangent(ts[index]) + follower_tan = curve2.tangent(ts2[index]) + + angle_score = dm.check_angle_match(leader_tan, follower_tan) + total_score = angle_score + depth_score + minimum_distance + + fig = plt.figure() + ax = fig.add_subplot(projection='3d') + + print(total_score) + + ax.plot(x1, y1, z1) + ax.plot(x2, y2, z2) + ax.scatter(*np.asarray(end1).T) + ax.scatter(*np.asarray(end2).T) + set_axes_equal(ax) + plt.show() diff --git a/marshall/curve_fitting.py b/marshall/curve_fitting.py new file mode 100644 index 0000000..7dfd022 --- /dev/null +++ b/marshall/curve_fitting.py @@ -0,0 +1,516 @@ +import numpy as np +import os +from matplotlib import pyplot as plt +from scipy.special import comb +from skimage.morphology import skeletonize, medial_axis +from skimage import io, img_as_bool, color +import networkx as nx +from scipy.spatial import KDTree +from scipy.interpolate import interp1d +import cv2 + +class BezierBasedDetection: + def __init__(self, mask, outlier_threshold=4, use_medial_axis=False): + self.mask = mask + self.skel = None + self.dists = None + self.stats = {} + self.outlier_threshold = outlier_threshold + self.use_medial_axis = use_medial_axis + + self.subsampled_graph = None + self.selected_path = None + self.selected_curve = None + + def construct_skeletal_graph(self, trim=0): + graph = nx.Graph() + if self.use_medial_axis: + skel, dists = medial_axis(self.mask, return_distance=True) + else: + skel = skeletonize(self.mask) + dists = None + + if trim: + skel[:trim] = 0 + skel[-trim:] = 0 + skel[:,:trim] = 0 + skel[:,-trim:] = 0 + + self.skel = skel + self.dists = dists + pxs = np.array(np.where(skel)).T[:, [1, 0]] + for px in pxs: + graph.add_node(tuple(px)) + for dir in np.array([[-1,0],[1,0],[0,1],[0,-1],[-1,-1],[-1,1],[1,-1],[1,1]]): + new_px = dir + px + if (0 <= new_px[0] < self.mask.shape[1]) and (0 <= new_px[1] < self.mask.shape[0]) and skel[new_px[1], new_px[0]]: + graph.add_node(tuple(new_px)) + graph.add_edge(tuple(px), tuple(new_px), distance=np.linalg.norm(dir)) + + subgraph = nx.minimum_spanning_tree(graph.subgraph(max(nx.connected_components(graph), key=len))) + deg_1_nodes = [n for n, deg in subgraph.degree if deg == 1] + + downsampled = nx.Graph() + # Process the edges to form a downsampled graph + + node = deg_1_nodes[0] + downsampled.add_node(node) + path = [node] + for edge in nx.dfs_edges(subgraph): + node = path[-1] + if edge[0] == node: + path.append(edge[1]) + else: + path = [edge[0], edge[1]] + + if subgraph.degree(edge[1]) != 2: + downsampled.add_node(edge[1]) + downsampled.add_edge(path[0], path[-1], path=path) + path = [edge[1]] + + return downsampled + + def do_curve_search(self, graph, start_nodes, min_len=0, filter_mask=None, return_stats=False): + most_matches = 0 + best_curve = None + best_path = None + stats = {} + + for node in start_nodes: + + path_dict = {node: None} + def retrieve_path_pts(n): + edges = [] + path = [n] + while path_dict[n] is not None: + edges.append((path_dict[n], n)) + n = path_dict[n] + path.append(n) + edges = edges[::-1] + path = path[::-1] + + px_list = [] + for edge in edges: + px_path = graph.edges[edge]['path'] + if px_path[0] != edge[0]: + px_path = px_path[::-1] + px_list.extend(px_path) + + pts = np.array(px_list) + return path, pts + + for edge in nx.dfs_edges(graph, source=node): + path_dict[edge[1]] = edge[0] + node_path, pts = retrieve_path_pts(edge[1]) + if filter_mask is not None: + pts = pts[~filter_mask[pts[:,1], pts[:,0]]] + if not len(pts): + continue + cum_dists = np.zeros(pts.shape[0]) + offsets = np.linalg.norm(pts[1:] - pts[:-1], axis=1) + cum_dists[1:] = np.cumsum(offsets) + if cum_dists[-1] < min_len: + continue + + curve = Bezier.fit(pts, 3) + new_dists = curve.arclen * cum_dists / cum_dists[-1] + new_dists[-1] = curve.arclen + eval_bezier, _ = curve.eval_by_arclen(new_dists) + matched_pts = np.linalg.norm(pts - eval_bezier, axis=1) < self.outlier_threshold + matches = matched_pts.sum() + + if matches > most_matches: + most_matches = matches + best_curve = curve + best_path = node_path + stats = { + 'pts': pts, + 'matched_idx': matched_pts, + 'matches': matches, + 'consistency': matched_pts.mean(), + } + + if return_stats: + return best_curve, best_path, stats + + return best_curve, best_path + + def fit(self, vec=None, trim=30): + + if vec is None: + # Run SVD to find the most significant direction + pxs = np.fliplr(np.array(np.where(self.mask)).T) + pxs = pxs - pxs.mean(axis=0) + # SVD takes a lot of memory - we subsample points as we only need an estimate + pxs = pxs[np.random.choice(len(pxs), 100, replace=False)] + u, s, v = np.linalg.svd(pxs, full_matrices=True) + vec = v[0] + + vec = np.array(vec) / np.linalg.norm(vec) + # Iterate through the edges and use the vec to determine the orientation + + graph = self.construct_skeletal_graph(trim=trim) + directed_graph = nx.DiGraph() + directed_graph.add_nodes_from(graph.nodes) + + for p1, p2 in graph.edges: + path = graph.edges[p1, p2]['path'] + if np.dot(np.array(p2) - p1, vec) < 0: + p1, p2 = p2, p1 + if path[0] != p1: + path = path[::-1] + directed_graph.add_edge(p1, p2, path=path) + + start_nodes = [n for n in graph.nodes if directed_graph.out_degree(n) == 1 and directed_graph.in_degree(n) == 0] + best_curve, best_path, stats = self.do_curve_search(directed_graph, start_nodes, return_stats=True) + + self.subsampled_graph = graph + self.selected_path = best_path + self.selected_curve = best_curve + self.stats = stats + + return best_curve + + def run_side_branch_search(self, min_len=80, filter_mask=None, visualize=''): + if self.selected_path is None: + raise Exception('Please run the fit function first') + + graph = self.subsampled_graph + assert isinstance(graph, nx.Graph) + + # Subgraph pre-processing + main_path = self.selected_path + for edge in zip(main_path[:-1], main_path[1:]): + graph.remove_edge(*edge) + + candidate_edges = [] + to_remove = [] + for i, node in enumerate(main_path): + + for neighbor in graph[node]: + edge = (node, neighbor) + path = graph.edges[edge]['path'] + if path[0] != node: + path = path[::-1] # Orient the path from the main branch outwards + + to_remove.append(edge) + if 0 < i < len(main_path) - 1: + candidate_edges.append((edge, path)) + + graph.remove_edges_from(to_remove) + + side_branches = [] + stats = [] + for candidate_edge, path in candidate_edges: + graph.add_edge(*candidate_edge, path=path) + + best_curve, best_path, match_stats = self.do_curve_search(graph, start_nodes=[candidate_edge[0]], + min_len=min_len, filter_mask=filter_mask, + return_stats=True) + if best_curve is not None: + info = {'curve': best_curve, 'path': best_path, 'stats': match_stats} + side_branches.append(info) + if visualize: + stats.append(match_stats) + + graph.remove_edge(*candidate_edge) + + if visualize: + import cv2 + from PIL import Image + + base_img = np.dstack([self.mask * 255] * 3).astype(np.uint8) + ts = np.linspace(0, 1, 201) + eval_bezier = self.selected_curve(ts) + + cv2.polylines(base_img, [eval_bezier.reshape((-1, 1, 2)).astype(int)], False, (0, 0, 255), 4) + for info, stat in zip(side_branches, stats): + + curve = info['curve'] + eval_bezier = curve(ts) + msg = 'Matches: {}, {:.1f}%'.format(stat['matches'], stat['consistency'] * 100) + cv2.polylines(base_img, [eval_bezier.reshape((-1, 1, 2)).astype(int)], False, (0, 128, 0), 4) + draw_pt = eval_bezier[len(eval_bezier) // 2].astype(int) + text_size = cv2.getTextSize(msg, cv2.FONT_HERSHEY_SIMPLEX, 0.5, 2)[0] + if draw_pt[0] + text_size[0] > base_img.shape[1]: + draw_pt[0] -= text_size[1] + + cv2.putText(base_img, msg, draw_pt, cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 255), 2) + + Image.fromarray(base_img).save(visualize) + + return side_branches + + def get_radius_interpolator_on_path(self, path=None, min_quant=0.25, max_quant=0.75): + if self.dists is None: + raise Exception('Please run the medial axis transform before running this function') + + if path is None: + path = self.stats['pts'] + + radii = self.dists[path[:,1], path[:,0]].copy() + if 0 in radii: + raise Exception('Some pixels in the specified path were not part of the skeleton!') + q_min = np.quantile(radii, min_quant) + q_max = np.quantile(radii, max_quant) + min_bound = q_min - min_quant * (q_max - q_min) / (max_quant - min_quant) + max_bound = q_max + max_quant * (q_max - q_min) / (max_quant - min_quant) + radii[(radii < min_bound) | (radii > max_bound)] = np.median(radii) + + cum_dists = np.zeros(len(path)) + cum_dists[1:] = np.linalg.norm(path[1:] - path[:-1], axis=1).cumsum() + cum_dists /= cum_dists[-1] + + return interp1d(cum_dists, radii) + + + +class Bezier: + # https://stackoverflow.com/questions/12643079/b%c3%a9zier-curve-fitting-with-scipy + + def __init__(self, ctrl_pts, approx_eval=201): + self.pts = ctrl_pts + self.approx_eval = approx_eval + self._kd_tree = None + self._ts = None + + # Arc length-based interpolation tools + self._len_approx = None + self._dist_t_interpolator = None + self._t_dist_interpolator = None + + @property + def n(self): + return len(self.pts) + + @property + def deg(self): + return len(self.pts) - 1 + + @staticmethod + def bpoly(i, n, t): + return comb(n, i) * t ** (n-i) * (1 - t) ** i + + def __call__(self, t): + t = np.array(t) + polys = [self.bpoly(i, self.deg, t)[..., np.newaxis] * pt for i, pt in enumerate(self.pts)] + return np.sum(polys, axis=0) + + def _load_arclen_tools(self): + if self._len_approx is not None: + return + ts_approx = np.linspace(0, 1, self.approx_eval) + eval_pts = self(ts_approx) + cum_dists = np.zeros(self.approx_eval) + cum_dists[1:] = np.linalg.norm(eval_pts[:-1] - eval_pts[1:], axis=1).cumsum() + self._len_approx = cum_dists[-1] + + self._dist_t_interpolator = interp1d(cum_dists, ts_approx) + self._t_dist_interpolator = interp1d(ts_approx, cum_dists) + + @property + def arclen(self): + self._load_arclen_tools() + return self._len_approx + + def eval_by_arclen(self, dists, normalized=False): + # Evaluates the curve, but with the ts parametrized by the distance along the curve (using an approximation) + self._load_arclen_tools() + if normalized: + dists = np.array(dists) * self.arclen + ts = self._dist_t_interpolator(dists) + return self(ts), ts + + def t_to_curve_dist(self, ts): + self._load_arclen_tools() + return self._t_dist_interpolator(ts) + + def tangent(self, t): + t = np.array(t) + polys = [self.deg * self.bpoly(i, self.deg - 1, t)[..., np.newaxis] * (p2 - p1) + for i, (p1, p2) in enumerate(zip(self.pts[:-1], self.pts[1:]))] + return -np.sum(polys, axis=0) + + def visualize(self, other_pts=None): + eval_pts = self(np.linspace(0, 1, 100)) + if other_pts is not None: + plt.scatter(*other_pts.T, color='grey', marker='x', s=3) + plt.scatter(*self.pts.T, color='red', marker='*', s=10) + plt.scatter(*eval_pts.T, color='blue', s=5) + plt.show() + + @classmethod + def fit(cls, pts, degree=3): + # Assumes pts[0] and pts[-1] represent the respective endpoints of the Bezier curve + n = len(pts) + t = np.linspace(0, 1, n) + b_mat = np.array([cls.bpoly(i, degree, t) for i in range(degree+1)]).T + fit = np.linalg.pinv(b_mat) @ pts + return cls(fit) + + @classmethod + def iterative_fit(cls, pts, degree=3, inlier_threshold=0.05, resample_p=0.5, exclude_furthest=0.10, + max_iters=10, stop_threshold=0.75): + """ + Attempts to fit a Bezier curve to noisy data by with a RANSAC-like approach. + Iteratively estimates a model, identifies inliers, and reestimates the model until the desired number of + inliers has been met. + inlier_threshold: Distance from point to curve to be considered an inlier + resample_p: Proportion of points that are resampled to fit a new model + exclude_furthest: This proportion of points furthest from the current model will not be considered for model fitting + stop_threshold: Process terminates once this proportion of inliers has been met + """ + + stats = { + 'success': False, + 'iters': 0, + 'inliers': 0, + 'inlier_idx': [], + 'init_inliers': 0, + } + + current_model = cls.fit(pts, degree=degree) + best_model = None + best_inlier_p = 0.0 + + for i in range(max_iters): + stats['iters'] += 1 + dists, _ = current_model.query_pt_distance(pts) + inliers = dists < inlier_threshold + inlier_p = inliers.mean() + stats['inliers'] = inlier_p + if i == 0: + stats['init_inliers'] = inlier_p + + if inlier_p > best_inlier_p: + best_model = current_model + best_inlier_p = inlier_p + stats['inlier_idx'] = inliers + + if inlier_p >= stop_threshold: + stats['success'] = True + return current_model, stats + + # Using the current model, exclude the furthest points and subsample a new selection of points + eligible = np.argsort(dists)[:int((1-exclude_furthest) * len(pts))] + to_sample = np.random.choice(eligible, int(resample_p * len(pts)), replace=False) + to_use = np.zeros(len(pts), dtype=bool) + to_use[0] = to_use[-1] = True + to_use[to_sample] = True + current_model = cls.fit(pts[to_use]) + + print('Warning: Iterative fit maxed out!') + return best_model, stats + + def query_pt_distance(self, pts): + + if self._kd_tree is None: + self._ts = np.linspace(0, 1, self.approx_eval, endpoint=True) + curve_eval = self(self._ts) + self._kd_tree = KDTree(curve_eval) + + dists, idxs = self._kd_tree.query(pts) + return dists, self._ts[idxs] + + +# TESTS +def side_branch_test(): + from PIL import Image + import cv2 + + + proc_dir = os.path.join(os.path.expanduser('~'), 'Pictures', 'masks') + output_dir = os.path.join(proc_dir, 'outputs') + files = [x for x in os.listdir(proc_dir) if x.endswith('.png')] + + for file in files: + input_file = os.path.join(proc_dir, file) + output_file = os.path.join(output_dir, file) + img = np.array(Image.open(input_file))[:, :, :3].copy() + mask = img.mean(axis=2) > 128 + + detection = BezierBasedDetection(mask, outlier_threshold=6, use_medial_axis=True) + curve = detection.fit(vec=(0, -1)) + if curve is None: + continue + + radius_interpolator = detection.get_radius_interpolator_on_path() + detection.run_side_branch_search(visualize=output_file, min_len=40, radius_interpolator=radius_interpolator) + + +def ransac_fit_test(): + + import matplotlib.pyplot as plt + import time + + for _ in range(100): + rand_pts = np.random.uniform(-1, 1, (4,3)) + curve = Bezier(rand_pts) + num_ts = np.random.randint(10, 50) + ts = np.random.uniform(0, 1, num_ts) + ts.sort() + + vals = curve(ts) + np.random.uniform(-0.01, 0.01, (num_ts, 3)) + + super_noisy_pts = int(np.random.uniform(0.1, 0.2) * num_ts) + idxs_to_modify = np.random.choice(num_ts - 2, super_noisy_pts, replace=False) + 1 # Don't modify the start/end points + vals[idxs_to_modify] += np.random.uniform(-2.0, 2.0, (super_noisy_pts, 3)) + + start = time.time() + fit_curve, stats = Bezier.iterative_fit(vals, max_iters=100) + end = time.time() + + print('Fit of {} points took {:.3f}s ({} iters)'.format(num_ts, end-start, stats['iters'])) + print('Percent inliers: {:.2f}% (init {:.2f}%)'.format(stats['inliers'] * 100, stats['init_inliers'] * 100)) + + ax = plt.figure().add_subplot(projection='3d') + + ts = np.linspace(0, 1, 51) + real_pts = curve(ts) + est_pts = fit_curve(ts) + naive_pts = Bezier.fit(vals)(ts) + + ax.plot(*real_pts.T, color='green', linestyle='dashed') + ax.plot(*est_pts.T, color='blue') + ax.plot(*naive_pts.T, color='red', linestyle='dotted') + ax.scatter(*vals[stats['inlier_idx']].T, color='green') + ax.scatter(*vals[~stats['inlier_idx']].T, color='red') + + plt.show() + + +if __name__ == '__main__': + my_mask = np.asarray(color.rgb2gray(io.imread("mask0485.png"))) + my_depth = np.asarray(cv2.imread("depth0485.png")) + my_depth2 = np.asarray(io.imread("depth0485.png")) + detector = BezierBasedDetection(my_mask, use_medial_axis=True) + depths_average = [] + curve = detector.fit() + radius_interpolator = detector.get_radius_interpolator_on_path() + #ts = np.linspace(0, 1, 201) + ds = np.linspace(0, 1, 11) + radii = radius_interpolator(ds) + curve_pts, ts = curve.eval_by_arclen(ds, normalized=True) + #pts = curve(ts) + mask1 = cv2.polylines(my_depth, [curve_pts.reshape((-1, 1, 2)).astype(int)], False, (0, 200, 200), 1) + depths = [] + for i in range(len(curve_pts)-1): + bottom_pt = (curve_pts[i][0].astype(int)+ radii[i].astype(int), curve_pts[i][1].astype(int)) + bp = (curve_pts[i][0].astype(int) - radii[i].astype(int), curve_pts[i][1].astype(int)) + tp = (curve_pts[i+1][0].astype(int) + radii[i+1].astype(int), curve_pts[i+1][1].astype(int)) + top_pt = (curve_pts[i+1][0].astype(int) - radii[i+1].astype(int), curve_pts[i+1][1].astype(int)) + + + arr = np.array([bottom_pt, bp, top_pt, tp]) + img = cv2.drawContours(my_depth.copy(), [arr.astype(int)],-1, color=255, thickness=-1) + pts = np.where(img==255) + depths.append(my_depth2[pts[0], pts[1]]) + depths_average.append(np.mean(depths[i])) + cv2.circle(mask1, curve_pts[i].astype(int), radii[i].astype(int), (0, 0, 255), thickness=1) + + while(1): + + cv2.imshow("img", mask1) + cv2.imshow("img2", img) + if cv2.waitKey(20) & 0xFF == 27: + break diff --git a/marshall/depth0485.png b/marshall/depth0485.png new file mode 100644 index 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z>V@s*tb0atmKkgz8OJ&3J+p6uB-WqwYcDcy(Bw+5h3)^Sd=l`G&H}R#LtXypM-25} z3|dIBzkd63Z?uDy2~{K=UwV!EkZRNx}p=oUk Date: Sun, 13 Aug 2023 23:04:59 -0700 Subject: [PATCH 02/14] tuned parameters --- marshall/connection_test.py | 11 ++++++++--- marshall/curve_fitting.py | 2 +- marshall/params.py | 2 +- 3 files changed, 10 insertions(+), 5 deletions(-) diff --git a/marshall/connection_test.py b/marshall/connection_test.py index b0a3f5b..ecbb2cc 100644 --- a/marshall/connection_test.py +++ b/marshall/connection_test.py @@ -89,12 +89,13 @@ def return_closest(self, curve_pts, end_pt_1, end_pt_2): prev_dist = dist - return ind, var, dist + return ind, var, dist def depth_scoring(self, closest_depth, end_depth): return abs(closest_depth - end_depth) + def check_angle_match(self, vec_1, vec_2): angle = np.arccos( @@ -195,8 +196,12 @@ def manage_arrs(curve_2d, depth_arr): fig = plt.figure() ax = fig.add_subplot(projection='3d') - print(total_score) - + print("Total: ", total_score) + print("Angle: ", angle_score) + print("Dist: ", minimum_distance) + print("Depth: ", depth_score) + ax.scatter(x1, y1, z1) + ax.scatter(x2, y2, z2) ax.plot(x1, y1, z1) ax.plot(x2, y2, z2) ax.scatter(*np.asarray(end1).T) diff --git a/marshall/curve_fitting.py b/marshall/curve_fitting.py index 7dfd022..c18ac41 100644 --- a/marshall/curve_fitting.py +++ b/marshall/curve_fitting.py @@ -144,7 +144,7 @@ def fit(self, vec=None, trim=30): # SVD takes a lot of memory - we subsample points as we only need an estimate pxs = pxs[np.random.choice(len(pxs), 100, replace=False)] u, s, v = np.linalg.svd(pxs, full_matrices=True) - vec = v[0] + vec = (0,1) vec = np.array(vec) / np.linalg.norm(vec) # Iterate through the edges and use the vec to determine the orientation diff --git a/marshall/params.py b/marshall/params.py index 657c703..e38ee10 100644 --- a/marshall/params.py +++ b/marshall/params.py @@ -4,4 +4,4 @@ depth_img = "depth0485.png" mask_img = "mask0485.png" follower_msk = "follower_mask0485.png" -angle_limit = 90 +angle_limit = 80 From 9741c75717ee6e22d9acffd5c62dbc127a39b611 Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Mon, 14 Aug 2023 08:13:17 -0700 Subject: [PATCH 03/14] Create README.md --- marshall/README.md | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) create mode 100644 marshall/README.md diff --git a/marshall/README.md b/marshall/README.md new file mode 100644 index 0000000..05ba605 --- /dev/null +++ b/marshall/README.md @@ -0,0 +1,30 @@ +# internship_summer_2023 +Work and documentation from my summer 2023 AgAID internship. + +# What it is +The following code takes in masks and depth images of trees and determines which side branches are connected to which main or "leader" branches. + +# How it works +1. Builds a Bezier curve by determining the medial axis of the white space in a mask + - This returns the radii, "t" value and the curve points at which the curve is evaluated, as well as a curve +2. Finds average depth in a cross-space of the tree branch + - Uses numpy and opencv to do this by first drawing singular blue squares that align with the limits of the mask and the curve points, then by reading the depth image at those points +3. Determines the closest point and distance from the end points of the side branch to the curve of the leader and picks the closest two points +4. Determines the difference in depth between the two points +5. Determines the angle between the two tangent lines of each points +6. Returns a score based in those aspects that refers to how likely it is that the branches are connected (lower is better) +7. Plots curves and points it is evaluating + +# Assumptions +- Leader and side branches are labeled as such +- Points are ordered + +# Notes for Running +- After cloning the repository, just run connection_test.py +- Adjust any of the parameters to include your own depth and mask images +- Requires OpenCV, Matplotlib, Skimage, Scipy, and Networkx libraries + +# General Notes +- The curve_fitting and camera files are contribution from [Alex You](https://github.com/osu-youa) +- The pinhole camera commented out is used to determine the size of the tree in real life, is useful for 3D generation. +- Azure camera depth data needs to be tested to determine its conversion to meters From d850c1c7de71f386c159c910e114febddb55a89e Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Mon, 14 Aug 2023 09:44:41 -0700 Subject: [PATCH 04/14] update --- marshall/camera.py | 26 -------------------------- marshall/connection_test.py | 34 +++++++++++++++++++++++----------- marshall/curve_fitting.py | 37 ------------------------------------- 3 files changed, 23 insertions(+), 74 deletions(-) diff --git a/marshall/camera.py b/marshall/camera.py index 9b39ce3..9bd20e4 100644 --- a/marshall/camera.py +++ b/marshall/camera.py @@ -3,7 +3,6 @@ import numpy import math from skimage import io -import params def mkmat(rows, cols, L): mat = numpy.matrix(L, dtype='float64') @@ -278,29 +277,4 @@ def _handle_cam_info(self, msg): rclpy.init() bla = Temp('temp', cam_info_topic='/camera/color/camera_info') rclpy.spin(bla) - -def get_num_pix(): - spsc = sp.spookyscary("rgb0485.png", "mask0485.png") - ma, rad = spsc.get_rad() - return ma, rad - -#def get_depth(depth_image, ma): -""" - d = io.imread("depth0485.png") - return d -""" -if __name__ == '__main__': - # run_test_node() - camera = PinholeCameraModel() - camera.from_npz(params.cam) - #converts pixels into x using depth - assert isinstance(camera, PinholeCameraModel) - d = sp.Depths_Average(params.depth_img, params.mask_img) - rad, curve_pts, curve = d.get_radii() - depth, num_pix = d.find_average() - print("CU: ", curve_pts[0]) - for i in range(len(depth)): - real_width = camera.getDeltaX(num_pix[i], depth[i]) - print(f'With this camera, {num_pix[i]} pixels at a depth of {depth[i]} m is {real_width:.4f} m') - d.show() diff --git a/marshall/connection_test.py b/marshall/connection_test.py index ecbb2cc..368541d 100644 --- a/marshall/connection_test.py +++ b/marshall/connection_test.py @@ -11,11 +11,18 @@ class Depths_Average: + """ + Parameters: + depth_img: Currently uses a frame from Envy orchard, the depth image of a single tree. + bin_msk: Binary mask of a tree, corresponds with depth data. + Variables: + my_mask: reads binary mask + my_depth: reads depth image using skimage, which gets the depth values of the image + """ def __init__(self, depth_img, bin_msk): self.my_mask = np.asarray(color.rgb2gray(cv2.imread(bin_msk))) - self.my_depth = np.asarray(cv2.imread(depth_img)) - self.my_depth2 = np.asarray(io.imread(depth_img)) + self.my_depth = np.asarray(io.imread(depth_img)) self.lined_mask = None self.radii = None self.curve_pts = None @@ -27,8 +34,7 @@ def get_radii(self): ds = np.linspace(0, 1, 11) self.radii = radius_interpolator(ds) self.curve_pts, ts = curve.eval_by_arclen(ds, normalized=True) - self.lined_mask = cv2.polylines(self.my_depth, [self.curve_pts.reshape((-1, 1, 2)).astype(int)], False, - (0, 200, 200), 1) + #self.lined_mask = cv2.polylines(self.my_depth, [self.curve_pts.reshape((-1, 1, 2)).astype(int)], False, (0, 200, 200), 1) return self.radii, self.curve_pts, curve, ts @@ -47,11 +53,12 @@ def find_average(self): self.curve_pts[i + 1][0].astype(int) - self.radii[i + 1].astype(int), self.curve_pts[i + 1][1].astype(int)) arr = np.array([right_bottom_pt, left_bottom_point, left_top_pt, right_top_point]) - img = cv2.drawContours(self.my_depth.copy(), [arr.astype(int)], -1, color=255, thickness=-1) - pts = np.where(img == 255) + img = np.zeros_like(self.my_depth.copy()) + cv2.drawContours(img, [arr.astype(int)], -1, color=255, thickness=-1) + pts = np.asarray(np.where(img == 255)) - depths.append(self.my_depth2[pts[0], pts[1]] / 1000) # LOOK INTO THIS MORE - depths_average.append(np.mean(depths[i])) + depths.append(np.asarray(np.argwhere(self.my_depth[pts[0], pts[1]]).nonzero())) + depths_average.append(np.mean(depths[i]/100)) # For visualizing the radii: # for i in range(len(self.curve_pts)): @@ -169,7 +176,7 @@ def manage_arrs(curve_2d, depth_arr): camera = c.PinholeCameraModel() camera.from_npz(p.cam) assert isinstance(camera, c.PinholeCameraModel) - + d = Depths_Average(p.depth_img, p.mask_img) rad, curve_pts, curve, ts = d.get_radii() depth, num_pix = d.find_average() @@ -177,7 +184,11 @@ def manage_arrs(curve_2d, depth_arr): d2 = Depths_Average(p.depth_img, p.follower_msk) rad2, curve_pts2, curve2, ts2 = d2.get_radii() depth2, num_pix2 = d2.find_average() - + + for i in range(len(depth)): + real_width = camera.getDeltaX(num_pix[i], depth[i]) + print(f'With this camera, {num_pix[i]} pixels at a depth of {depth[i]} m is {real_width:.4f} m') + x1, y1, z1, leader_pts = manage_arrs(curve_pts, depth) x2, y2, z2, follower_pts = manage_arrs(curve_pts2, depth2) @@ -197,7 +208,7 @@ def manage_arrs(curve_2d, depth_arr): ax = fig.add_subplot(projection='3d') print("Total: ", total_score) - print("Angle: ", angle_score) + print("Angle Score: ", angle_score) print("Dist: ", minimum_distance) print("Depth: ", depth_score) ax.scatter(x1, y1, z1) @@ -208,3 +219,4 @@ def manage_arrs(curve_2d, depth_arr): ax.scatter(*np.asarray(end2).T) set_axes_equal(ax) plt.show() + diff --git a/marshall/curve_fitting.py b/marshall/curve_fitting.py index c18ac41..214f2bf 100644 --- a/marshall/curve_fitting.py +++ b/marshall/curve_fitting.py @@ -477,40 +477,3 @@ def ransac_fit_test(): ax.scatter(*vals[~stats['inlier_idx']].T, color='red') plt.show() - - -if __name__ == '__main__': - my_mask = np.asarray(color.rgb2gray(io.imread("mask0485.png"))) - my_depth = np.asarray(cv2.imread("depth0485.png")) - my_depth2 = np.asarray(io.imread("depth0485.png")) - detector = BezierBasedDetection(my_mask, use_medial_axis=True) - depths_average = [] - curve = detector.fit() - radius_interpolator = detector.get_radius_interpolator_on_path() - #ts = np.linspace(0, 1, 201) - ds = np.linspace(0, 1, 11) - radii = radius_interpolator(ds) - curve_pts, ts = curve.eval_by_arclen(ds, normalized=True) - #pts = curve(ts) - mask1 = cv2.polylines(my_depth, [curve_pts.reshape((-1, 1, 2)).astype(int)], False, (0, 200, 200), 1) - depths = [] - for i in range(len(curve_pts)-1): - bottom_pt = (curve_pts[i][0].astype(int)+ radii[i].astype(int), curve_pts[i][1].astype(int)) - bp = (curve_pts[i][0].astype(int) - radii[i].astype(int), curve_pts[i][1].astype(int)) - tp = (curve_pts[i+1][0].astype(int) + radii[i+1].astype(int), curve_pts[i+1][1].astype(int)) - top_pt = (curve_pts[i+1][0].astype(int) - radii[i+1].astype(int), curve_pts[i+1][1].astype(int)) - - - arr = np.array([bottom_pt, bp, top_pt, tp]) - img = cv2.drawContours(my_depth.copy(), [arr.astype(int)],-1, color=255, thickness=-1) - pts = np.where(img==255) - depths.append(my_depth2[pts[0], pts[1]]) - depths_average.append(np.mean(depths[i])) - cv2.circle(mask1, curve_pts[i].astype(int), radii[i].astype(int), (0, 0, 255), thickness=1) - - while(1): - - cv2.imshow("img", mask1) - cv2.imshow("img2", img) - if cv2.waitKey(20) & 0xFF == 27: - break From 46d159b0988d6953847da27c8e20acf943020f70 Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Mon, 14 Aug 2023 12:19:46 -0700 Subject: [PATCH 05/14] updated docs --- marshall/README.md | 5 ++ marshall/connection_test.py | 98 +++++++++++++++++++++++++++---------- 2 files changed, 77 insertions(+), 26 deletions(-) diff --git a/marshall/README.md b/marshall/README.md index 05ba605..69e4327 100644 --- a/marshall/README.md +++ b/marshall/README.md @@ -28,3 +28,8 @@ The following code takes in masks and depth images of trees and determines which - The curve_fitting and camera files are contribution from [Alex You](https://github.com/osu-youa) - The pinhole camera commented out is used to determine the size of the tree in real life, is useful for 3D generation. - Azure camera depth data needs to be tested to determine its conversion to meters + +#TODO: +- Test camera to determine conversion between depth data and meters +- Implement loop to manage all files that need to be tested +- Implement 3D generation diff --git a/marshall/connection_test.py b/marshall/connection_test.py index 368541d..eeff6ae 100644 --- a/marshall/connection_test.py +++ b/marshall/connection_test.py @@ -1,4 +1,3 @@ -# THIS IS THE FILE YOU RUN import cv2 import math import params as p @@ -15,23 +14,31 @@ class Depths_Average: Parameters: depth_img: Currently uses a frame from Envy orchard, the depth image of a single tree. bin_msk: Binary mask of a tree, corresponds with depth data. - Variables: + selected_end_pointiables: my_mask: reads binary mask my_depth: reads depth image using skimage, which gets the depth values of the image + lined_mask: commented, used for visualization + radii: radii of branch at evaluated points along curve + curve_pts: evaluated points along Bezier curve + """ def __init__(self, depth_img, bin_msk): self.my_mask = np.asarray(color.rgb2gray(cv2.imread(bin_msk))) self.my_depth = np.asarray(io.imread(depth_img)) - self.lined_mask = None + #self.lined_mask = None self.radii = None self.curve_pts = None def get_radii(self): + """ + Uses curve_fitting to get Bezier curve by first fitting a curve and then determining radii along evaluated points. + Currently evaluates for 11 points. Returns radii, points along the curve, the curve object, and the "t" values. + """ detector = cf.BezierBasedDetection(self.my_mask, use_medial_axis=True) curve = detector.fit() radius_interpolator = detector.get_radius_interpolator_on_path() - ds = np.linspace(0, 1, 11) + ds = np.linspace(0, 1, 20) self.radii = radius_interpolator(ds) self.curve_pts, ts = curve.eval_by_arclen(ds, normalized=True) #self.lined_mask = cv2.polylines(self.my_depth, [self.curve_pts.reshape((-1, 1, 2)).astype(int)], False, (0, 200, 200), 1) @@ -39,6 +46,10 @@ def get_radii(self): return self.radii, self.curve_pts, curve, ts def find_average(self): + """ + Finds the average depth across a rectangular contour. Returns array of average depths and pixel width of tree. + TODO: Figure out the correct depth conversion by testing the camera's parameters + """ depths = [] depths_average = [] @@ -53,23 +64,44 @@ def find_average(self): self.curve_pts[i + 1][0].astype(int) - self.radii[i + 1].astype(int), self.curve_pts[i + 1][1].astype(int)) arr = np.array([right_bottom_pt, left_bottom_point, left_top_pt, right_top_point]) - img = np.zeros_like(self.my_depth.copy()) - cv2.drawContours(img, [arr.astype(int)], -1, color=255, thickness=-1) - pts = np.asarray(np.where(img == 255)) - - depths.append(np.asarray(np.argwhere(self.my_depth[pts[0], pts[1]]).nonzero())) - depths_average.append(np.mean(depths[i]/100)) - - # For visualizing the radii: - # for i in range(len(self.curve_pts)): - # cv2.circle(self.lined_mask, self.curve_pts[i].astype(int), self.radii[i].astype(int), (0, 0, 255), thickness=1) - - return depths_average, self.radii + img = cv2.cvtColor(np.float32(self.my_depth.copy()), cv2.COLOR_GRAY2BGR) + img = cv2.drawContours(img, [arr.astype(int)], -1, color=(0,0,255), thickness=-1) + + pts = np.where(img == 255) + + + depths.append(self.my_depth[pts[0], pts[1]].nonzero()) + depths_average.append(np.mean(depths[i]) / 1000) #need to figure out the correct conversion between depth data and meters + # For visualizing the radii: + #img = img.astype(np.uint8) + #cv2.imshow('im', img) + + #cv2.waitKey(0) + + #for i in range(len(self.curve_pts)): + #cv2.circle(self.lined_mask, self.curve_pts[i].astype(int), self.radii[i].astype(int), (0, 0, 255), thickness=1) + + #cv2.imshow("i", self.lined_mask.astype(np.uint8)) + return depths_average, self.radii.astype(int)*2 class Determine_Match: - + """ + Determines if a side branch matches a leader branch. + """ + def return_closest(self, curve_pts, end_pt_1, end_pt_2): + """ + Returns the closest distance between evaluated points on leader curve and end points of side branch curve. + Parameters: + curve_pts: all points evaluated on leader curve + end_pt_1: an end point on side branch curve + end_pt_2: other end point on side branch curve + Returns: + ind: index of matching points + selected_end_point: the matching end point + dist: minimum distance between selected points + """ distance_arr = [] prev_dist = math.inf for i in range(len(curve_pts)): @@ -78,33 +110,46 @@ def return_closest(self, curve_pts, end_pt_1, end_pt_2): if dist1 <= dist2: distance_arr.append(dist1) - var1 = end_pt_1 + selected_end_point1 = end_pt_1 if prev_dist >= dist1: - var = var1 + selected_end_point = selected_end_point1 ind = i dist = dist1 else: distance_arr.append(dist2) - var2 = end_pt_2 + selected_end_point2 = end_pt_2 dist = dist2 if prev_dist >= dist2: - var = var2 + selected_end_point = selected_end_point2 ind = i dist = dist2 prev_dist = dist - return ind, var, dist + return ind, selected_end_point, dist def depth_scoring(self, closest_depth, end_depth): - + """ + Parameters: + closest_depth: depth of closest point on leader curve + end_depth: depth of selected end point + Returns: + the difference between the two (the difference in depth) + """ return abs(closest_depth - end_depth) def check_angle_match(self, vec_1, vec_2): - + """ + Checks if the angle falls within the given angle parameters. + Parameters: + vec_1: a tangent line to one of the selected points + vec_2: a tangent line to the other selected point + Returns: + a score based on if the angle between the two vectors falls in an acceptable range. Currently set to arbitrary numbers. + """ angle = np.arccos( np.clip(np.dot((vec_1 / np.linalg.norm(vec_1)), (vec_2 / np.linalg.norm(vec_2))), -1.0, 1.0)) * ( 180 / np.pi) @@ -209,8 +254,9 @@ def manage_arrs(curve_2d, depth_arr): print("Total: ", total_score) print("Angle Score: ", angle_score) - print("Dist: ", minimum_distance) - print("Depth: ", depth_score) + print("Min Dist: ", minimum_distance) + print("Depth Difference: ", depth_score) + ax.scatter(x1, y1, z1) ax.scatter(x2, y2, z2) ax.plot(x1, y1, z1) From e0f8954c2261727570c216583216ea314aa3b6f0 Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Tue, 15 Aug 2023 11:28:41 -0700 Subject: [PATCH 06/14] added file to extract rgb and depth --- marshall/README.md | 1 + marshall/pull_depth_and_rgb.py | 26 ++++++++++++++++++++++++++ 2 files changed, 27 insertions(+) create mode 100644 marshall/pull_depth_and_rgb.py diff --git a/marshall/README.md b/marshall/README.md index 69e4327..8afced8 100644 --- a/marshall/README.md +++ b/marshall/README.md @@ -33,3 +33,4 @@ The following code takes in masks and depth images of trees and determines which - Test camera to determine conversion between depth data and meters - Implement loop to manage all files that need to be tested - Implement 3D generation +- Adjust for distortion diff --git a/marshall/pull_depth_and_rgb.py b/marshall/pull_depth_and_rgb.py new file mode 100644 index 0000000..d2333f7 --- /dev/null +++ b/marshall/pull_depth_and_rgb.py @@ -0,0 +1,26 @@ +import os +#extracts depth and rgb data from azure kinect video +#requires ffmpeg library: sudo apt install ffmpeg +""" +INSTRUCTIONS FOR RUNNING: +1. Install ffmpeg +2. Download folder containing video output file +3. Copy and paste this file into the downloaded folder +4. Navigate to downloaded folder in terminal +5. Run script and specify filename(excluding extension) you would like to extract data from. +""" +print("please type the file name(excluding extension) you would like to extract from: ") +inp = input() +filename = f'{inp}.mkv' +current_directory = os.getcwd() +rgb_folder = f'{inp}_rgb_data' +depth_folder = f'{inp}_depth_data' +path1 = os.path.join(current_directory, rgb_folder) +path2 = os.path.join(current_directory, depth_folder) +os.mkdir(path1) +os.mkdir(path2) + +cmd1 = f'ffmpeg -i {filename} -vf "select=not(mod(n\,10))" -map 0:0 -vsync 0 {path1}/rgb%04d.png' +cmd2 = f'ffmpeg -i {filename} -vf "select=not(mod(n\,10))" -map 0:1 -vsync 0 {path2}/depth%04d.raw' +os.system(cmd1) +os.system(cmd2) From d83d209acc156ab92156c35e953178eebb8e3df3 Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Tue, 15 Aug 2023 21:06:20 -0700 Subject: [PATCH 07/14] reading from actual data now --- marshall/connection_test.py | 55 ++++++++++++++++++++++-------------- marshall/curve_fitting.py | 6 ++-- marshall/depth0001.raw | Bin 0 -> 737280 bytes marshall/follower_mask.png | Bin 0 -> 3070 bytes marshall/leader_mask.png | Bin 0 -> 5448 bytes marshall/params.py | 9 +++--- marshall/rgb0001.png | Bin 0 -> 5230432 bytes 7 files changed, 42 insertions(+), 28 deletions(-) create mode 100644 marshall/depth0001.raw create mode 100644 marshall/follower_mask.png create mode 100644 marshall/leader_mask.png create mode 100644 marshall/rgb0001.png diff --git a/marshall/connection_test.py b/marshall/connection_test.py index eeff6ae..db21fc0 100644 --- a/marshall/connection_test.py +++ b/marshall/connection_test.py @@ -5,7 +5,7 @@ import numpy as np import curve_fitting as cf import matplotlib.pyplot as plt -from skimage import io, color +from skimage import io, color, img_as_bool from curve_fitting import BezierBasedDetection, Bezier @@ -24,9 +24,13 @@ class Depths_Average: """ def __init__(self, depth_img, bin_msk): - self.my_mask = np.asarray(color.rgb2gray(cv2.imread(bin_msk))) - self.my_depth = np.asarray(io.imread(depth_img)) - #self.lined_mask = None + self.my_mask = np.asarray(img_as_bool(cv2.resize(color.rgb2gray(cv2.imread(bin_msk).astype('uint8')),(640,576)))) + self.my_mask2 = np.asarray(cv2.resize(color.rgb2gray(cv2.imread(bin_msk).astype('uint8')),(640,576))) + #self.my_depth = np.asarray(io.imread(depth_img)) + npimg = np.fromfile(depth_img, dtype=np.uint16) + imageSize = (640,576) + self.my_depth = npimg.reshape(imageSize) + self.lined_mask = None self.radii = None self.curve_pts = None @@ -38,11 +42,11 @@ def get_radii(self): detector = cf.BezierBasedDetection(self.my_mask, use_medial_axis=True) curve = detector.fit() radius_interpolator = detector.get_radius_interpolator_on_path() - ds = np.linspace(0, 1, 20) + ds = np.linspace(0, 1, 11) self.radii = radius_interpolator(ds) self.curve_pts, ts = curve.eval_by_arclen(ds, normalized=True) - #self.lined_mask = cv2.polylines(self.my_depth, [self.curve_pts.reshape((-1, 1, 2)).astype(int)], False, (0, 200, 200), 1) - + #self.lined_mask = cv2.polylines(self.my_mask2, [self.curve_pts.reshape((-1, 1, 2)).astype(int)], False, (0, 200, 200), 1) + return self.radii, self.curve_pts, curve, ts def find_average(self): @@ -55,33 +59,39 @@ def find_average(self): for i in range(len(self.curve_pts) - 1): right_bottom_pt = ( - self.curve_pts[i][0].astype(int) + self.radii[i].astype(int), self.curve_pts[i][1].astype(int)) + self.curve_pts[i][0].astype(int) + (self.radii[i]/2).astype(int), self.curve_pts[i][1].astype(int)) left_bottom_point = ( - self.curve_pts[i][0].astype(int) - self.radii[i].astype(int), self.curve_pts[i][1].astype(int)) + self.curve_pts[i][0].astype(int) - (self.radii[i]/2).astype(int), self.curve_pts[i][1].astype(int)) right_top_point = ( - self.curve_pts[i + 1][0].astype(int) + self.radii[i + 1].astype(int), self.curve_pts[i + 1][1].astype(int)) + self.curve_pts[i + 1][0].astype(int) + (self.radii[i + 1]/2).astype(int), self.curve_pts[i + 1][1].astype(int)) left_top_pt = ( - self.curve_pts[i + 1][0].astype(int) - self.radii[i + 1].astype(int), self.curve_pts[i + 1][1].astype(int)) + self.curve_pts[i + 1][0].astype(int) - (self.radii[i + 1]/2).astype(int), self.curve_pts[i + 1][1].astype(int)) arr = np.array([right_bottom_pt, left_bottom_point, left_top_pt, right_top_point]) - img = cv2.cvtColor(np.float32(self.my_depth.copy()), cv2.COLOR_GRAY2BGR) + img = cv2.cvtColor((self.my_mask2.copy().astype('uint8')), cv2.COLOR_GRAY2BGR) img = cv2.drawContours(img, [arr.astype(int)], -1, color=(0,0,255), thickness=-1) - pts = np.where(img == 255) + pts = np.asarray(np.where(img == 255)) + + arry=self.my_depth[pts[0],pts[1]] + arr = arry[np.where(arry!=0)] - depths.append(self.my_depth[pts[0], pts[1]].nonzero()) - depths_average.append(np.mean(depths[i]) / 1000) #need to figure out the correct conversion between depth data and meters + depths.append(arr[~np.isnan(arr).any(axis=0)]) + ar2 = (np.mean(depths[i]))*0.0001 #need to figure out the correct conversion between depth data and meters + if np.isnan(ar2): #replaces empty array values with 0, might be a deeper problem--> look more into this later + depths_average.append(p.nan_value) + else: + depths_average.append(ar2) # For visualizing the radii: #img = img.astype(np.uint8) - #cv2.imshow('im', img) #cv2.waitKey(0) - + #cv2.imshow('im', img) #for i in range(len(self.curve_pts)): #cv2.circle(self.lined_mask, self.curve_pts[i].astype(int), self.radii[i].astype(int), (0, 0, 255), thickness=1) - #cv2.imshow("i", self.lined_mask.astype(np.uint8)) + return depths_average, self.radii.astype(int)*2 @@ -153,7 +163,7 @@ def check_angle_match(self, vec_1, vec_2): angle = np.arccos( np.clip(np.dot((vec_1 / np.linalg.norm(vec_1)), (vec_2 / np.linalg.norm(vec_2))), -1.0, 1.0)) * ( 180 / np.pi) - + print(angle) if angle < p.angle_limit: return 1 @@ -233,7 +243,9 @@ def manage_arrs(curve_2d, depth_arr): for i in range(len(depth)): real_width = camera.getDeltaX(num_pix[i], depth[i]) print(f'With this camera, {num_pix[i]} pixels at a depth of {depth[i]} m is {real_width:.4f} m') - + for i in range(len(depth2)): + real_width = camera.getDeltaX(num_pix2[i], depth2[i]) + print(f'With this camera, {num_pix2[i]} pixels at a depth of {depth2[i]} m is {real_width:.4f} m') x1, y1, z1, leader_pts = manage_arrs(curve_pts, depth) x2, y2, z2, follower_pts = manage_arrs(curve_pts2, depth2) @@ -263,6 +275,7 @@ def manage_arrs(curve_2d, depth_arr): ax.plot(x2, y2, z2) ax.scatter(*np.asarray(end1).T) ax.scatter(*np.asarray(end2).T) - set_axes_equal(ax) + ax.axis('equal') + #set_axes_equal(ax) plt.show() diff --git a/marshall/curve_fitting.py b/marshall/curve_fitting.py index 214f2bf..9f425a0 100644 --- a/marshall/curve_fitting.py +++ b/marshall/curve_fitting.py @@ -144,9 +144,9 @@ def fit(self, vec=None, trim=30): # SVD takes a lot of memory - we subsample points as we only need an estimate pxs = pxs[np.random.choice(len(pxs), 100, replace=False)] u, s, v = np.linalg.svd(pxs, full_matrices=True) - vec = (0,1) - - vec = np.array(vec) / np.linalg.norm(vec) + + vec = (0,1) + #vec = np.array(vec) / np.linalg.norm(vec) # Iterate through the edges and use the vec to determine the orientation graph = self.construct_skeletal_graph(trim=trim) diff --git a/marshall/depth0001.raw b/marshall/depth0001.raw new file mode 100644 index 0000000000000000000000000000000000000000..a84aade5b76daae39cc20f45b7a5fd7bcf5c3e3b GIT binary patch literal 737280 zcmeF41>79P-N(bTvp1WNkOU7-aEDT)c%eXn0)^sMiWV(WoELX#O9iSB+%-t>;2H=4 zf+xWxNPs|)K;G|f=Jq*x_UyU4=eZ}(?tJ!kcV>2GcJB6ff1f^m(ydiyAb31@BzQ2m zF}S1F5d~v|yQ;k>csO`~bboMfa1XoE-Pz;)M)OyUcp7x$#L~uLl z)?j#Wn@htvzcsiexS4btXSW46k*==(InCqc>Mqu=Txl(3;mP5-;Su3c;j!VLYPm00 zH#jUfE_aolr8Ce9Gr${pOZ8|Lk2n|~pH(`7ek| z|3`vIw%u;_I`$mF*9{(N>?yKCw z^ihNVfCrh0`}hyI(;=WR(Bq(}z}wmN8RrTYOa3pIce-m%!V|+&!jr<&!gD(}f)xKc zH*e`(jhz8F-VWR=Z)M3hF1h#MslxnVbpCbl09>tTK5>2bXX!qjc~1ELpe)yx-%`&% 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zbCk4{#Y_(JETzm&X5l>(<>tIrTgCdk7C2N#f*pSUO7w2Xi0Gr+o3X?&6&`ST_wE|6 zM!qFNrgv!5-uwQuO?&WlDwFU6eE$i)coXx85ZD(Mn3csy&`>a&&Ri+9lFlrA&p+2nQn{DBx}7B)gd$bN%r| z>J$}<%LliQ*tgEtS{bwh|va9~<>aQ=_?CmcPMf*z0O5643-9v#JSh)s@SMtfcP;xZTc zd$&u4yV}qeA@VPX$EmWZZg|lD`^ud?kmr1EOGUPHkKfPhP|0IWdJq6 z=J?re1r2_K!KW()6Bf8#ZtmJMo4b}9=TrLa%efraMEZgIc++Q8G-j13E#?Nez4dpMUIPqt4 zdqX`MaN=+!V{f#NGi%SV?CKEt(#%_Cv6U`nMbVWm_J!>H$_{IwkZ3r>I_o!fvVk&m zu93NwPS9q&>?I3+NGM+OPJ}FR}!Gt?sTTtq&{*DMPFQIGIDp4H6i!9mh zBnvjLoV(yWunYf=a@YBnjp?4V+J49`-8MgXX@};hKO8jrmfE+I50k@Q(Z2=2;yvfd zUzyrP_Jd9JUEt(8IV_wd=>+!4TO_nIcNK~YO$E2f0*~2(+HU^&!?mSI#*kVGIW8>y z+P7Xi@j(i@J0=E?+ z(B*ph?o%7B3p&e??(1JkyeUY!{)t6g6rg;Rpo|M8e@fx60R&^-DS!dw`ojy^txONs zPU^Ya-azIl;zc7K%%HZT;fFcdKoN>|K*m3MjQ3)fs}iPA3r2ES0UPjsukc%A>sh~B z>V@s*tb0atmKkgz8OJ&3J+p6uB-WqwYcDcy(Bw+5h3)^Sd=l`G&H}R#LtXypM-25} z3|dIBzkd63Z?uDy2~{K=UwV!EkZRNx}p=oUk Date: Tue, 15 Aug 2023 21:41:28 -0700 Subject: [PATCH 09/14] Update connection_test.py --- marshall/connection_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/marshall/connection_test.py b/marshall/connection_test.py index db21fc0..eec403c 100644 --- a/marshall/connection_test.py +++ b/marshall/connection_test.py @@ -1,4 +1,5 @@ import cv2 +import sys import math import params as p import camera as c @@ -8,7 +9,6 @@ from skimage import io, color, img_as_bool from curve_fitting import BezierBasedDetection, Bezier - class Depths_Average: """ Parameters: From 65b03ff622cfaa4a03ce3c836c25cfd97984b6bd Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Sat, 19 Aug 2023 15:39:34 -0700 Subject: [PATCH 10/14] updated all files and docs --- __pycache__/bezier_cyl_3d.cpython-310.pyc | Bin 0 -> 9284 bytes bezier_cyl_3d.py | 14 +- data/DebugImages/check_3d_bezier1.obj | 1793 +++++++++++ data/DebugImages/check_3d_bezier2.obj | 1793 +++++++++++ data/DebugImages/check_3d_bezier_more_vs.obj | 2817 +++++++++++++++++ marshall/Blender/generate_3d.py | 76 + marshall/README.md | 30 +- marshall/__pycache__/camera.cpython-310.pyc | Bin 0 -> 10651 bytes .../__pycache__/curve_fitting.cpython-310.pyc | Bin 0 -> 14964 bytes marshall/__pycache__/params.cpython-310.pyc | Bin 0 -> 383 bytes marshall/connection_test.py | 191 +- marshall/depth0001.raw | Bin 737280 -> 0 bytes marshall/follower_mask.png | Bin 3070 -> 8445 bytes marshall/generated.png | Bin 0 -> 115198 bytes marshall/leader_mask.png | Bin 5448 -> 10238 bytes marshall/output.png | Bin 0 -> 17626 bytes marshall/params.py | 7 +- marshall/pull_depth_and_rgb.py | 4 +- marshall/rgb0001.png | Bin 5230432 -> 0 bytes 19 files changed, 6611 insertions(+), 114 deletions(-) create mode 100644 __pycache__/bezier_cyl_3d.cpython-310.pyc create mode 100644 data/DebugImages/check_3d_bezier1.obj create mode 100644 data/DebugImages/check_3d_bezier2.obj create mode 100644 data/DebugImages/check_3d_bezier_more_vs.obj create mode 100644 marshall/Blender/generate_3d.py create mode 100644 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import numpy as np from json import load, dump - +#switch to this +#use sdk--> look at point cloud +#take every 3 points and do bezier class BezierCyl3D: def __init__(self, p1=(0.0, 0.0, 0.0), p2=(0.5, 0.75, 0.5), p3=(1.0, 1.0, 1.0), start_radius=10.0, end_radius=20.0): @@ -237,17 +239,17 @@ def read_json(fname, bezier_crv=None, compute_mesh=True): from os.path import exists from os import mkdir - if not exists("data/DebugImages"): - mkdir("data/DebugImages") + #if not exists("data/DebugImages"): + #mkdir("data/DebugImages") branch = BezierCyl3D([506.5, 156.0, 0.0], [457.49999996771703, 478.9999900052037, 0.0], [521.5, 318.0, 0.0], start_radius=10.5, end_radius=8.25) branch.make_mesh() - branch.write_mesh("data/DebugImages/check_3d_bezier1.obj") + branch.write_mesh("check_3d_bezier1.obj") branch = BezierCyl3D([-0.5, 0.0, 0.0], [0.0, 0.1, 0.05], [0.5, 0.0, 0.0], start_radius=0.5, end_radius=0.25) branch.make_mesh() - branch.write_mesh("data/DebugImages/check_3d_bezier2.obj") + branch.write_mesh("check_3d_bezier2.obj") branch.set_dims(n_along=30, n_radial=32) branch.make_mesh() - branch.write_mesh("data/DebugImages/check_3d_bezier_more_vs.obj") + branch.write_mesh("check_3d_bezier_more_vs.obj") diff --git a/data/DebugImages/check_3d_bezier1.obj b/data/DebugImages/check_3d_bezier1.obj new file mode 100644 index 0000000..f7194ef --- /dev/null +++ b/data/DebugImages/check_3d_bezier1.obj @@ -0,0 +1,1793 @@ +# Branch +v 496.119 154.425 0.0 +v 496.169 154.433 -1.02918 +v 496.318 154.455 -2.04845 +v 496.566 154.493 -3.04799 +v 496.909 154.545 -4.01818 +v 497.345 154.611 -4.94967 +v 497.868 154.691 -5.83349 +v 498.475 154.783 -6.66113 +v 499.159 154.886 -7.42462 +v 499.914 155.001 -8.11661 +v 500.733 155.125 -8.73043 +v 501.606 155.258 -9.26017 +v 502.527 155.397 -9.70074 +v 503.486 155.543 -10.0479 +v 504.475 155.693 -10.2982 +v 505.482 155.846 -10.4494 +v 506.5 156.0 -10.5 +v 507.518 156.154 -10.4494 +v 508.525 156.307 -10.2982 +v 509.514 156.457 -10.0479 +v 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952 920 +f 919 951 952 +f 920 953 921 +f 920 952 953 +f 921 954 922 +f 921 953 954 +f 922 955 923 +f 922 954 955 +f 923 956 924 +f 923 955 956 +f 924 957 925 +f 924 956 957 +f 925 958 926 +f 925 957 958 +f 926 959 927 +f 926 958 959 +f 927 960 928 +f 927 959 960 +f 928 929 897 +f 928 960 929 diff --git a/marshall/Blender/generate_3d.py b/marshall/Blender/generate_3d.py new file mode 100644 index 0000000..3e55294 --- /dev/null +++ b/marshall/Blender/generate_3d.py @@ -0,0 +1,76 @@ +import bpy +import bmesh +import os +import numpy as np +import camera as c +import params as p +from random import randint +from mathutils import Vector, Matrix, Euler +from math import radians +import matplotlib.pyplot as plt +from scipy.spatial.transform import Rotation as R +from curve_fitting import BezierBasedDetection, Bezier +from bpy_extras.io_utils import unpack_list + + + +class Generate_3D: + def __init__(self, full_arr, x, y, z, num_pix): + self.full_arr = full_arr + self.rad = [] + self.y = y + self.x = x + self.num_pix = num_pix + self.z = z + + def create_mesh(self): + self.set_y_x_rad() + + #bpy.data.objects.remove(bpy.data.objects['Cube']) + + crv = bpy.data.curves.new('crv', 'CURVE') + crv.dimensions = '3D' + crv.fill_mode = 'FULL' + crv.bevel_depth = 0.045 + crv.resolution_u = 1 + obj = bpy.data.objects.new('crv', crv) + bpy.context.scene.collection.objects.link(obj) + spline = crv.splines.new(type='BEZIER') + + spline.bezier_points.add(len(self.full_arr)-1) + for i in range(len(self.full_arr)): + + + spline.bezier_points[i].co = self.full_arr[i] + + spline.bezier_points[i].radius = self.rad[i] + + print(spline.bezier_points[i].radius) + + + fig = plt.figure() + ax = fig.add_subplot(projection='3d') + ax.plot(*self.full_arr.T) + ax.axis('equal') + plt.show() + + blend_file_path = bpy.data.filepath + directory = os.path.dirname(blend_file_path) + target_file = os.path.join(directory, 'thisisatest.obj') + bpy.ops.export_scene.obj(filepath=target_file) + + def set_y_x_rad(self): + camera = c.PinholeCameraModel() + camera.from_npz(p.cam) + assert isinstance(camera, c.PinholeCameraModel) + + + for i in range(len(self.full_arr)): + self.full_arr[i][0] = camera.getDeltaX(self.x[i], self.z[i]) + self.full_arr[i][1] = camera.getDeltaY(self.y[i], self.z[i]) + self.rad.append(camera.getDeltaX(self.num_pix[i], self.z[i])) + print(self.num_pix[i]) + + + + diff --git a/marshall/README.md b/marshall/README.md index 8afced8..7e8810b 100644 --- a/marshall/README.md +++ b/marshall/README.md @@ -2,7 +2,8 @@ Work and documentation from my summer 2023 AgAID internship. # What it is -The following code takes in masks and depth images of trees and determines which side branches are connected to which main or "leader" branches. +The test_connectivity.py code takes in masks and depth images of trees, builds 3D cylinders along a bezier curve following a branch, and determines which side branches are connected to which main or "leader" branches. +The pull depth and rgb data file takes a .mkv video and extracts depth and rgb data in whatever format you wish.--> may require changes to test_connectivity to work with different formats. # How it works 1. Builds a Bezier curve by determining the medial axis of the white space in a mask @@ -18,19 +19,32 @@ The following code takes in masks and depth images of trees and determines which # Assumptions - Leader and side branches are labeled as such - Points are ordered +- There is a .mkv video file to work with +- There are masks to work with # Notes for Running - After cloning the repository, just run connection_test.py -- Adjust any of the parameters to include your own depth and mask images -- Requires OpenCV, Matplotlib, Skimage, Scipy, and Networkx libraries +- Adjust any of the parameters to include your own depth and mask images as well as a video file +- Requires OpenCV, Matplotlib, Skimage, Scipy, PyK4A, and Networkx libraries--> see Documentation for install PyK4A +- To pull RGB and Depth data, copy the python file to the directory where the .mkv video is stored(or alter code to specify a path) # General Notes - The curve_fitting and camera files are contribution from [Alex You](https://github.com/osu-youa) -- The pinhole camera commented out is used to determine the size of the tree in real life, is useful for 3D generation. -- Azure camera depth data needs to be tested to determine its conversion to meters +- Azure camera depth data needs to be tested to confirm its conversion to meters +- generate_3d.py works with and requires Blender to run. It uses Blender to generate a Bezier curve rather than using cylinders. Unless scaled up, it generates a small curve in meters. Radius does not currently operate as expected. + + +# Output +The cylinders generated produce: +![alt text](generated.png) +As compared to: +![alt text](leader_mask.png) +It displays in the terminal: +![alt text](output.png) +This shows the total score for how likely a side branch is to match to a leader branch(lower is better). #TODO: -- Test camera to determine conversion between depth data and meters +- Test camera to confirm conversion between depth data and meters - Implement loop to manage all files that need to be tested -- Implement 3D generation -- Adjust for distortion +- Implement loop to manage multiple frames from video footage +- Combine all cylinder files into one diff --git a/marshall/__pycache__/camera.cpython-310.pyc b/marshall/__pycache__/camera.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..3940840361c1ba5957b162b9bb91caecbf07725e GIT binary patch literal 10651 zcmd5?-EZ93b>}5HGn~<z!7X9NW9u3Wl?(luez@s;<9k3t3R~T#iJU 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zOs>u`$!8#&1zso7TYbH~W84@g6@xaR;sPt4HjN$LQwMTOZX8TRcaQ)H{K_znfchb_ m`xmehxGH`ggEENj{fCwCnSB27SnDXMmrMFo~&1A=jdX!d|O>E^8yR1aW3n&J>(P look more into this later + if np.isnan(ar2): #replaces empty array values with 0 depths_average.append(p.nan_value) else: depths_average.append(ar2) - # For visualizing the radii: - #img = img.astype(np.uint8) - #cv2.waitKey(0) - #cv2.imshow('im', img) - #for i in range(len(self.curve_pts)): - #cv2.circle(self.lined_mask, self.curve_pts[i].astype(int), self.radii[i].astype(int), (0, 0, 255), thickness=1) - #cv2.imshow("i", self.lined_mask.astype(np.uint8)) - - return depths_average, self.radii.astype(int)*2 + return depths_average, self.radii class Determine_Match: """ Determines if a side branch matches a leader branch. """ - + def __init__(self): + self.angle_limit = p.angle_limit + def return_closest(self, curve_pts, end_pt_1, end_pt_2): """ Returns the closest distance between evaluated points on leader curve and end points of side branch curve. @@ -114,32 +111,31 @@ def return_closest(self, curve_pts, end_pt_1, end_pt_2): """ distance_arr = [] prev_dist = math.inf - for i in range(len(curve_pts)): - dist1 = math.dist(curve_pts[i], end_pt_1) - dist2 = math.dist(curve_pts[i], end_pt_2) + for i, point in enumerate(curve_pts): + dist1 = math.dist(point, end_pt_1) + dist2 = math.dist(point, end_pt_2) if dist1 <= dist2: distance_arr.append(dist1) - selected_end_point1 = end_pt_1 - if prev_dist >= dist1: - selected_end_point = selected_end_point1 - ind = i - dist = dist1 + ind, selected_end_point, dist = self.get_values(end_pt_1, i, dist1) + else: distance_arr.append(dist2) - selected_end_point2 = end_pt_2 - dist = dist2 - if prev_dist >= dist2: - selected_end_point = selected_end_point2 - ind = i - dist = dist2 + ind, selected_end_point, dist = self.get_values(end_pt_2, i, dist2) prev_dist = dist return ind, selected_end_point, dist - + + + def get_values(self, end_point, ind, dist): + """ + returns index, end_point, and dist after conditions of return_closest are satisfied + """ + return ind, end_point, dist + def depth_scoring(self, closest_depth, end_depth): """ Parameters: @@ -163,93 +159,82 @@ def check_angle_match(self, vec_1, vec_2): angle = np.arccos( np.clip(np.dot((vec_1 / np.linalg.norm(vec_1)), (vec_2 / np.linalg.norm(vec_2))), -1.0, 1.0)) * ( 180 / np.pi) - print(angle) - if angle < p.angle_limit: + + if angle < self.angle_limit: return 1 - elif angle > p.angle_limit: + elif angle > self.angle_limit: return 0 else: return 0.5 -def set_axes_equal(ax): +class Build_3D: """ - Make axes of 3D plot have equal scale so that spheres appear as spheres, - cubes as cubes, etc. - - Input - ax: a matplotlib axis, e.g., as output from plt.gca(). + Constructs 3D cylinders for a given curve + Parameters: + curve_points: given points along a Bezier curve + radii: radii at curve_points """ + def __init__(self, curve_points, radii): + self.radii = radii + self.curve_points = curve_points - x_limits = ax.get_xlim3d() - y_limits = ax.get_ylim3d() - z_limits = ax.get_zlim3d() - - x_range = abs(x_limits[1] - x_limits[0]) - x_middle = np.mean(x_limits) - y_range = abs(y_limits[1] - y_limits[0]) - y_middle = np.mean(y_limits) - z_range = abs(z_limits[1] - z_limits[0]) - z_middle = np.mean(z_limits) - - # The plot bounding box is a sphere in the sense of the infinity - # norm, hence I call half the max range the plot radius. - plot_radius = 0.5 * max([x_range, y_range, z_range]) - - ax.set_xlim3d([x_middle - plot_radius, x_middle + plot_radius]) - ax.set_ylim3d([y_middle - plot_radius, y_middle + plot_radius]) - ax.set_zlim3d([z_middle - plot_radius, z_middle + plot_radius]) - + def set_real_measurements(self): + """ + Takes curve_points and converts to size in meters, scales up for visibility + """ + camera = c.PinholeCameraModel() + camera.from_npz(p.cam) + assert isinstance(camera, c.PinholeCameraModel) + for i in range(len(self.curve_points)): + self.curve_points[i][0] = camera.getDeltaX(self.curve_points[i][0], self.curve_points[i][2])*p.scale_factor + self.curve_points[i][1] = camera.getDeltaY(self.curve_points[i][1], self.curve_points[i][2])*p.scale_factor + self.radii[i] = camera.getDeltaX(self.radii[i], self.curve_points[i][2])*p.scale_factor + + def build(self): + """ + Passes in beginning, middle, and end curve points and beginning and end radii to a class that builds a 3D mesh for each cylinder + """ + self.set_real_measurements() + for i in range(len(self.curve_points)-2): + b = bc3.BezierCyl3D(self.curve_points[i], self.curve_points[i+1], self.curve_points[i+2], self.radii[i], self.radii[i+2]) + b.make_mesh() + b.write_mesh(f"curve{i}.obj") + def manage_arrs(curve_2d, depth_arr): + """ + Splits curve_2D and depth_arr to their components, as well as merging them + Parameters: + curve_2d: 2D Bezier points in x and y from a mask + depth_arr: depth at those points + """ split_curve = np.split(curve_2d, 2, 1) _x = np.delete(split_curve[0], -1) _y = np.delete(split_curve[1], -1) _z = np.asarray(depth_arr) full_arr = np.array([_x, _y, _z]).T + return _x, _y, _z, full_arr if __name__ == '__main__': - """ - For testing purposes, build your own arrays: - branch1 = [0.5, 0.5, -0.5] - x1 = np.linspace(0, 0.5, 5) - y1 = np.linspace(0, 0.5, 5) - z1 = np.linspace(0.5, -0.5, 5) - - branch2=[0, 0, 2] - x2 = np.linspace(0, 0, 5) - y2 = np.linspace(0, 0, 5) - z2 = np.linspace(0, 2, 5) - follower_curve_pts = np.array([x2, y2, z2]).T - leader_curve = np.array([x1, y1, z1]).T - """ - camera = c.PinholeCameraModel() - camera.from_npz(p.cam) - assert isinstance(camera, c.PinholeCameraModel) - - d = Depths_Average(p.depth_img, p.mask_img) + d = Depths_Average(p.mask_img) rad, curve_pts, curve, ts = d.get_radii() depth, num_pix = d.find_average() - d2 = Depths_Average(p.depth_img, p.follower_msk) + d2 = Depths_Average(p.follower_msk) rad2, curve_pts2, curve2, ts2 = d2.get_radii() depth2, num_pix2 = d2.find_average() - - for i in range(len(depth)): - real_width = camera.getDeltaX(num_pix[i], depth[i]) - print(f'With this camera, {num_pix[i]} pixels at a depth of {depth[i]} m is {real_width:.4f} m') - for i in range(len(depth2)): - real_width = camera.getDeltaX(num_pix2[i], depth2[i]) - print(f'With this camera, {num_pix2[i]} pixels at a depth of {depth2[i]} m is {real_width:.4f} m') + x1, y1, z1, leader_pts = manage_arrs(curve_pts, depth) x2, y2, z2, follower_pts = manage_arrs(curve_pts2, depth2) - + dm = Determine_Match() + end1 = follower_pts[0] end2 = follower_pts[-1] @@ -260,22 +245,36 @@ def manage_arrs(curve_2d, depth_arr): angle_score = dm.check_angle_match(leader_tan, follower_tan) total_score = angle_score + depth_score + minimum_distance - + + b = Build_3D(leader_pts, rad) + b.build() + + #b2 = Build_3D(follower_pts, rad2) + #b2.build() + + #g = Generate_3D(leader_pts, x1, y1, z1, rad) + #g.create_mesh() + + #g2 = Generate_3D(follower_pts, x2, y2, z2, num_pix2) + #g2.create_mesh() + fig = plt.figure() ax = fig.add_subplot(projection='3d') - + print("Total: ", total_score) print("Angle Score: ", angle_score) print("Min Dist: ", minimum_distance) print("Depth Difference: ", depth_score) + #Uncomment below if you wish to visualize both curves + """ ax.scatter(x1, y1, z1) ax.scatter(x2, y2, z2) + ax.plot(x1, y1, z1) ax.plot(x2, y2, z2) ax.scatter(*np.asarray(end1).T) ax.scatter(*np.asarray(end2).T) ax.axis('equal') - #set_axes_equal(ax) plt.show() - + """ diff --git a/marshall/depth0001.raw b/marshall/depth0001.raw deleted file mode 100644 index a84aade5b76daae39cc20f45b7a5fd7bcf5c3e3b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 737280 zcmeF41>79P-N(bTvp1WNkOU7-aEDT)c%eXn0)^sMiWV(WoELX#O9iSB+%-t>;2H=4 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zlw<*iA&H5VFwu6(q|`-3`Wa2;#Q$&4i@&|L*ynSu{>NlrMVIvpPnznFIatC}`dz==cg$p4-YHV(xW0jDnpkp-L(hV}V}MH7}b$qF+SEa~z9 z$v)ceH4i2WR|a7`ia#N_dAHbPe+FMY|L5y}?7BSPe79h!<)zmuz;j0!JYD@<);T3K F0RV~a&Ncu5 literal 0 HcmV?d00001 diff --git a/marshall/params.py b/marshall/params.py index cf73876..62da6ae 100644 --- a/marshall/params.py +++ b/marshall/params.py @@ -1,8 +1,9 @@ -branches_ammt = 2 -labels = ["leader", "follower"] +curve_ammt = 13 +scale_factor = 100 cam = 'D435_640x480.camera.npz' -depth_img = "depth0001.raw" +#depth_img = "depth0001.raw" mask_img = "leader_mask.png" follower_msk = "follower_mask.png" angle_limit = 70 nan_value = 1 +video_file = "output.mkv" diff --git a/marshall/pull_depth_and_rgb.py b/marshall/pull_depth_and_rgb.py index d2333f7..bcb2f8f 100644 --- a/marshall/pull_depth_and_rgb.py +++ b/marshall/pull_depth_and_rgb.py @@ -1,4 +1,6 @@ import os +import cv2 + #extracts depth and rgb data from azure kinect video #requires ffmpeg library: sudo apt install ffmpeg """ @@ -21,6 +23,6 @@ os.mkdir(path2) cmd1 = f'ffmpeg -i {filename} -vf "select=not(mod(n\,10))" -map 0:0 -vsync 0 {path1}/rgb%04d.png' -cmd2 = f'ffmpeg -i {filename} -vf "select=not(mod(n\,10))" -map 0:1 -vsync 0 {path2}/depth%04d.raw' +cmd2 = f'ffmpeg -i {filename} -vf "select=not(mod(n\,10))" -map 0:1 -vsync 0 {path2}/depth%04d.pgm' #change to whichever file type is easiest to work with for depth os.system(cmd1) os.system(cmd2) diff --git a/marshall/rgb0001.png b/marshall/rgb0001.png deleted file mode 100644 index 4a870a7413c4bb8628fe7142f2fb7f27983c07ee..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5230432 zcmV)$K#sqOP)cvC}6duvQrdvs@8Oix#2XM1RKOGr~Q*haLq zC-(PcPfirh%#_W~m(MMhAm++u=SvZD#WRS~S!6A8rfv?=fC6_h$DoA5DXU*@gOk+64D_7Stxkt zaUYp%9F2a%;NaN&M-K0a%YWkv0c4hd!V!TtazzkdfDw!umK1lDSQAV5(2>A z06cIaG4v^f-q->hm3991dGx_N`D7n_ur{8_$eY)R)4Pe2huJIq>Md~>PrrO;U_Uue zRNga%{fv=n1W5?IE>uIkI*#wRO5?W)HD{hk0gT z-*~q~{xo^$Om^SOE7Mtj1+n5%+mdY9yS 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zykocS7Fb^d^|`4PEIl%5hgPXEYJ_ZMwNkB8c8dZr;HXsgs%e2#RGfu+P`iEg{w6?6 zI{=~pEsk_ZI=VW$zy?rMpG5)sWqP$t4laJQQzi<~V$VbIkfKWtrYIB&wOXyy>5N7r zLEzD7IFm^MqWNGb!)E)Vn`e)G^y!^n{p-hH{qE^E|MA%m-+%GPKYaE3@4ooYfBWpm nZ+`P%-+%pwZ@>KP$p`-r%ru-CFaJ>k00000NkvXXu0mjfn8Jd> From a428de3b24f1ca1d993539795d74c3d892d57af3 Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Sat, 19 Aug 2023 15:45:01 -0700 Subject: [PATCH 11/14] Update README.md --- marshall/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/marshall/README.md b/marshall/README.md index 7e8810b..5616266 100644 --- a/marshall/README.md +++ b/marshall/README.md @@ -43,7 +43,7 @@ It displays in the terminal: ![alt text](output.png) This shows the total score for how likely a side branch is to match to a leader branch(lower is better). -#TODO: +# TODO: - Test camera to confirm conversion between depth data and meters - Implement loop to manage all files that need to be tested - Implement loop to manage multiple frames from video footage From 6e8a2397b6ea85835bd8fb59cb69e2b07787870a Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Sat, 19 Aug 2023 15:51:50 -0700 Subject: [PATCH 12/14] Update README.md --- marshall/README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/marshall/README.md b/marshall/README.md index 5616266..d56af87 100644 --- a/marshall/README.md +++ b/marshall/README.md @@ -33,7 +33,6 @@ The pull depth and rgb data file takes a .mkv video and extracts depth and rgb d - Azure camera depth data needs to be tested to confirm its conversion to meters - generate_3d.py works with and requires Blender to run. It uses Blender to generate a Bezier curve rather than using cylinders. Unless scaled up, it generates a small curve in meters. Radius does not currently operate as expected. - # Output The cylinders generated produce: ![alt text](generated.png) @@ -43,6 +42,10 @@ It displays in the terminal: ![alt text](output.png) This shows the total score for how likely a side branch is to match to a leader branch(lower is better). +# Instructions for Installing PyK4A +- See: [Kinect on Ubuntu](https://github.com/juancarlosmiranda/azure_kinect_notes) +- And: [PyK4A](https://github.com/etiennedub/pyk4a) + # TODO: - Test camera to confirm conversion between depth data and meters - Implement loop to manage all files that need to be tested From 062f5ce79910f5985c6e4be34f697b1aeffe4183 Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Mon, 4 Sep 2023 08:22:59 -0700 Subject: [PATCH 13/14] merging cylinders --- __pycache__/bezier_cyl_3d.cpython-310.pyc | Bin 9284 -> 9284 bytes bezier_cyl_3d.py | 4 +- marshall/README.md | 9 +- .../Screenshot from 2023-09-04 08-17-57.png | Bin 0 -> 69752 bytes marshall/__pycache__/camera.cpython-310.pyc | Bin 10651 -> 10651 bytes .../__pycache__/curve_fitting.cpython-310.pyc | Bin 14964 -> 14964 bytes marshall/__pycache__/params.cpython-310.pyc | Bin 383 -> 397 bytes marshall/build/.built_by | 1 + marshall/build/COLCON_IGNORE | 0 marshall/connection_test.py | 81 +++- marshall/install/.colcon_install_layout | 1 + marshall/install/COLCON_IGNORE | 0 marshall/install/_local_setup_util_ps1.py | 404 ++++++++++++++++++ marshall/install/_local_setup_util_sh.py | 404 ++++++++++++++++++ marshall/install/local_setup.bash | 107 +++++ marshall/install/local_setup.ps1 | 55 +++ marshall/install/local_setup.sh | 137 ++++++ marshall/install/local_setup.zsh | 120 ++++++ marshall/install/setup.bash | 31 ++ marshall/install/setup.ps1 | 29 ++ marshall/install/setup.sh | 45 ++ marshall/install/setup.zsh | 31 ++ marshall/log/COLCON_IGNORE | 0 .../log/build_2023-09-02_12-15-53/events.log | 2 + .../build_2023-09-02_12-15-53/logger_all.log | 90 ++++ marshall/log/latest | 1 + marshall/log/latest_build | 1 + marshall/params.py | 3 +- 28 files changed, 1541 insertions(+), 15 deletions(-) create mode 100644 marshall/Screenshot from 2023-09-04 08-17-57.png create mode 100644 marshall/build/.built_by create mode 100644 marshall/build/COLCON_IGNORE create mode 100644 marshall/install/.colcon_install_layout create mode 100644 marshall/install/COLCON_IGNORE create mode 100644 marshall/install/_local_setup_util_ps1.py create mode 100644 marshall/install/_local_setup_util_sh.py create mode 100644 marshall/install/local_setup.bash create mode 100644 marshall/install/local_setup.ps1 create mode 100644 marshall/install/local_setup.sh create mode 100644 marshall/install/local_setup.zsh create mode 100644 marshall/install/setup.bash create mode 100644 marshall/install/setup.ps1 create mode 100644 marshall/install/setup.sh create mode 100644 marshall/install/setup.zsh create mode 100644 marshall/log/COLCON_IGNORE create mode 100644 marshall/log/build_2023-09-02_12-15-53/events.log create mode 100644 marshall/log/build_2023-09-02_12-15-53/logger_all.log create mode 120000 marshall/log/latest create mode 120000 marshall/log/latest_build diff --git a/__pycache__/bezier_cyl_3d.cpython-310.pyc b/__pycache__/bezier_cyl_3d.cpython-310.pyc index 56831ced370eed082bad676d83803aa3ab8c38cd..e125f4e96e751df4c6075494f1569d0a64978731 100644 GIT binary patch delta 84 zcmV-a0IUDRNW@4DZw(C!00000&CT*;Jh2T276Ama6&4r*0h*I87_|Ydv*Z}60s*nJ qj~fdD0nL+}9n}HDvvD4$0s+^v86idi0|y8bvtlB}0Rdl=C?p(aNg6Q# delta 84 zcmV-a0IUDRNW@4DZw(C!00000x;Wuv8nF!r76AjZ6&4r*0hyC77_|Ybv*Z}60s*hH qj~fdD0n3w{9n}HBvvD4$0s+;t86idi0|p2ZvtlB}0Rdf;C?p&x+!;my diff --git a/bezier_cyl_3d.py b/bezier_cyl_3d.py index caac867..a91e4a8 100644 --- a/bezier_cyl_3d.py +++ b/bezier_cyl_3d.py @@ -147,6 +147,7 @@ def frenet_frame(self, t): def _calc_radii(self): """ Calculate the radii along the branch @return a numpy array of radii""" + radii = np.linspace(self.start_radii, self.end_radii, self.n_along) return radii @@ -154,7 +155,7 @@ def _calc_cyl_vertices(self): """Calculate the cylinder vertices""" pt = np.ones(shape=(4,)) radii = self._calc_radii() - + for it, t in enumerate(np.linspace(0, 1.0, self.n_along)): mat = self.frenet_frame(t) pt[0] = 0 @@ -167,6 +168,7 @@ def _calc_cyl_vertices(self): pt_on_crv = mat @ pt self.vertex_locs[it, itheta, :] = pt_on_crv[0:3].transpose() + def make_mesh(self): """ Make a 3D generalized cylinder """ diff --git a/marshall/README.md b/marshall/README.md index d56af87..8590555 100644 --- a/marshall/README.md +++ b/marshall/README.md @@ -15,6 +15,8 @@ The pull depth and rgb data file takes a .mkv video and extracts depth and rgb d 5. Determines the angle between the two tangent lines of each points 6. Returns a score based in those aspects that refers to how likely it is that the branches are connected (lower is better) 7. Plots curves and points it is evaluating +8. Uses bezier cyl 3d to generate cylinders along the curve +9. Merges cylinder files to create a tree # Assumptions - Leader and side branches are labeled as such @@ -24,7 +26,7 @@ The pull depth and rgb data file takes a .mkv video and extracts depth and rgb d # Notes for Running - After cloning the repository, just run connection_test.py -- Adjust any of the parameters to include your own depth and mask images as well as a video file +- Adjust any of the parameters to include your own depth and mask images as well as a video file (uploaded files do not currently contain the mkv file used for generation) - Requires OpenCV, Matplotlib, Skimage, Scipy, PyK4A, and Networkx libraries--> see Documentation for install PyK4A - To pull RGB and Depth data, copy the python file to the directory where the .mkv video is stored(or alter code to specify a path) @@ -35,9 +37,10 @@ The pull depth and rgb data file takes a .mkv video and extracts depth and rgb d # Output The cylinders generated produce: -![alt text](generated.png) +![alt text](generated_tree.png) 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acmexT@}-13pO=@50SJz`Jlx2gX$1gG?gqC2 delta 20 acmexT@}-13pO=@50SIOX-`U8WX$1gG5C)h4 diff --git a/marshall/__pycache__/params.cpython-310.pyc b/marshall/__pycache__/params.cpython-310.pyc index b90281b9cf359ca3a9fb3f5ecebba18dee1796a1..c9d362c2f5a2ca9bba54ca507b21d2ef72980819 100644 GIT binary patch delta 108 zcmey*)XU75&&$ij00dh?zovvRPUMqe)R?HP$`Qqp!Wqn<$u%)Dg7>8WQ2r$^knq#w yoOr-r;ud>eX>NRSWzH=YAW^)Mp@<(SS;RkCf-zW32*_k%U}0oo0%9oSU<3fKycYHV delta 94 zcmeBW{?Ejh&&$ij00c{{AEw-7n8+u?s4`Jol{1(@lk+7nP<&!U1izmq$1Sep(xS4| n_{7}Yl8Jl$Iae|ifn 0: + # get all remaining dependencies + depended = set() + for pkg_name, dependencies in packages.items(): + depended = depended.union(dependencies) + # remove all packages which are not dependent on + for name in list(packages.keys()): + if name not in depended: + del packages[name] + if last_depended: + # if remaining packages haven't changed return them + if last_depended == depended: + return packages.keys() + # otherwise reduce again + last_depended = depended + + +def _include_comments(): + # skipping comment lines when COLCON_TRACE is not set speeds up the + # processing especially on Windows + return bool(os.environ.get('COLCON_TRACE')) + + +def get_commands(pkg_name, prefix, primary_extension, additional_extension): + commands = [] + package_dsv_path = os.path.join(prefix, 'share', pkg_name, 'package.dsv') + if os.path.exists(package_dsv_path): + commands += process_dsv_file( + package_dsv_path, prefix, primary_extension, additional_extension) + return commands + + +def process_dsv_file( + dsv_path, prefix, primary_extension=None, additional_extension=None +): + commands = [] + if _include_comments(): + commands.append(FORMAT_STR_COMMENT_LINE.format_map({'comment': dsv_path})) + with open(dsv_path, 'r') as h: + content = h.read() + lines = content.splitlines() + + basenames = OrderedDict() + for i, line in enumerate(lines): + # skip over empty or whitespace-only lines + if not line.strip(): + continue + try: + type_, remainder = line.split(';', 1) + except ValueError: + raise RuntimeError( + "Line %d in '%s' doesn't contain a semicolon separating the " + 'type from the arguments' % (i + 1, dsv_path)) + if type_ != DSV_TYPE_SOURCE: + # handle non-source lines + try: + commands += handle_dsv_types_except_source( + type_, remainder, prefix) + except RuntimeError as e: + raise RuntimeError( + "Line %d in '%s' %s" % (i + 1, dsv_path, e)) from e + else: + # group remaining source lines by basename + path_without_ext, ext = os.path.splitext(remainder) + if path_without_ext not in basenames: + basenames[path_without_ext] = set() + assert ext.startswith('.') + ext = ext[1:] + if ext in (primary_extension, additional_extension): + basenames[path_without_ext].add(ext) + + # add the dsv extension to each basename if the file exists + for basename, extensions in basenames.items(): + if not os.path.isabs(basename): + basename = os.path.join(prefix, basename) + if os.path.exists(basename + '.dsv'): + extensions.add('dsv') + + for basename, extensions in basenames.items(): + if not os.path.isabs(basename): + basename = os.path.join(prefix, basename) + if 'dsv' in extensions: + # process dsv files recursively + commands += process_dsv_file( + basename + '.dsv', prefix, primary_extension=primary_extension, + additional_extension=additional_extension) + elif primary_extension in extensions and len(extensions) == 1: + # source primary-only files + commands += [ + FORMAT_STR_INVOKE_SCRIPT.format_map({ + 'prefix': prefix, + 'script_path': basename + '.' + primary_extension})] + elif additional_extension in extensions: + # source non-primary files + commands += [ + FORMAT_STR_INVOKE_SCRIPT.format_map({ + 'prefix': prefix, + 'script_path': basename + '.' + additional_extension})] + + return commands + + +def handle_dsv_types_except_source(type_, remainder, prefix): + commands = [] + if type_ in (DSV_TYPE_SET, DSV_TYPE_SET_IF_UNSET): + try: + env_name, value = remainder.split(';', 1) + except ValueError: + raise RuntimeError( + "doesn't contain a semicolon separating the environment name " + 'from the value') + try_prefixed_value = os.path.join(prefix, value) if value else prefix + if os.path.exists(try_prefixed_value): + value = try_prefixed_value + if type_ == DSV_TYPE_SET: + commands += _set(env_name, value) + elif type_ == DSV_TYPE_SET_IF_UNSET: + commands += _set_if_unset(env_name, value) + else: + assert False + elif type_ in ( + DSV_TYPE_APPEND_NON_DUPLICATE, + DSV_TYPE_PREPEND_NON_DUPLICATE, + DSV_TYPE_PREPEND_NON_DUPLICATE_IF_EXISTS + ): + try: + env_name_and_values = remainder.split(';') + except ValueError: + raise RuntimeError( + "doesn't contain a semicolon separating the environment name " + 'from the values') + env_name = env_name_and_values[0] + values = env_name_and_values[1:] + for value in values: + if not value: + value = prefix + elif not os.path.isabs(value): + value = os.path.join(prefix, value) + if ( + type_ == DSV_TYPE_PREPEND_NON_DUPLICATE_IF_EXISTS and + not os.path.exists(value) + ): + comment = f'skip extending {env_name} with not existing ' \ + f'path: {value}' + if _include_comments(): + commands.append( + FORMAT_STR_COMMENT_LINE.format_map({'comment': comment})) + elif type_ == DSV_TYPE_APPEND_NON_DUPLICATE: + commands += _append_unique_value(env_name, value) + else: + commands += _prepend_unique_value(env_name, value) + else: + raise RuntimeError( + 'contains an unknown environment hook type: ' + type_) + return commands + + +env_state = {} + + +def _append_unique_value(name, value): + global env_state + if name not in env_state: + if os.environ.get(name): + env_state[name] = set(os.environ[name].split(os.pathsep)) + else: + env_state[name] = set() + # append even if the variable has not been set yet, in case a shell script sets the + # same variable without the knowledge of this Python script. + # later _remove_ending_separators() will cleanup any unintentional leading separator + extend = FORMAT_STR_USE_ENV_VAR.format_map({'name': name}) + os.pathsep + line = FORMAT_STR_SET_ENV_VAR.format_map( + {'name': name, 'value': extend + value}) + if value not in env_state[name]: + env_state[name].add(value) + else: + if not _include_comments(): + return [] + line = FORMAT_STR_COMMENT_LINE.format_map({'comment': line}) + return [line] + + +def _prepend_unique_value(name, value): + global env_state + if name not in env_state: + if os.environ.get(name): + env_state[name] = set(os.environ[name].split(os.pathsep)) + else: + env_state[name] = set() + # prepend even if the variable has not been set yet, in case a shell script sets the + # same variable without the knowledge of this Python script. + # later _remove_ending_separators() will cleanup any unintentional trailing separator + extend = os.pathsep + FORMAT_STR_USE_ENV_VAR.format_map({'name': name}) + line = FORMAT_STR_SET_ENV_VAR.format_map( + {'name': name, 'value': value + extend}) + if value not in env_state[name]: + env_state[name].add(value) + else: + if not _include_comments(): + return [] + line = FORMAT_STR_COMMENT_LINE.format_map({'comment': line}) + return [line] + + +# generate commands for removing prepended underscores +def _remove_ending_separators(): + # do nothing if the shell extension does not implement the logic + if FORMAT_STR_REMOVE_TRAILING_SEPARATOR is None: + return [] + + global env_state + commands = [] + for name in env_state: + # skip variables that already had values before this script started prepending + if name in os.environ: + continue + commands += [ + FORMAT_STR_REMOVE_LEADING_SEPARATOR.format_map({'name': name}), + FORMAT_STR_REMOVE_TRAILING_SEPARATOR.format_map({'name': name})] + return commands + + +def _set(name, value): + global env_state + env_state[name] = value + line = FORMAT_STR_SET_ENV_VAR.format_map( + {'name': name, 'value': value}) + return [line] + + +def _set_if_unset(name, value): + global env_state + line = FORMAT_STR_SET_ENV_VAR.format_map( + {'name': name, 'value': value}) + if env_state.get(name, os.environ.get(name)): + line = FORMAT_STR_COMMENT_LINE.format_map({'comment': line}) + return [line] + + +if __name__ == '__main__': # pragma: no cover + try: + rc = main() + except RuntimeError as e: + print(str(e), file=sys.stderr) + rc = 1 + sys.exit(rc) diff --git a/marshall/install/_local_setup_util_sh.py b/marshall/install/_local_setup_util_sh.py new file mode 100644 index 0000000..35c017b --- /dev/null +++ b/marshall/install/_local_setup_util_sh.py @@ -0,0 +1,404 @@ +# Copyright 2016-2019 Dirk Thomas +# Licensed under the Apache License, Version 2.0 + +import argparse +from collections import OrderedDict +import os +from pathlib import Path +import sys + + +FORMAT_STR_COMMENT_LINE = '# {comment}' +FORMAT_STR_SET_ENV_VAR = 'export {name}="{value}"' +FORMAT_STR_USE_ENV_VAR = '${name}' +FORMAT_STR_INVOKE_SCRIPT = 'COLCON_CURRENT_PREFIX="{prefix}" _colcon_prefix_sh_source_script "{script_path}"' +FORMAT_STR_REMOVE_LEADING_SEPARATOR = 'if [ "$(echo -n ${name} | head -c 1)" = ":" ]; then export {name}=${{{name}#?}} ; fi' +FORMAT_STR_REMOVE_TRAILING_SEPARATOR = 'if [ "$(echo -n ${name} | tail -c 1)" = ":" ]; then export {name}=${{{name}%?}} ; fi' + +DSV_TYPE_APPEND_NON_DUPLICATE = 'append-non-duplicate' +DSV_TYPE_PREPEND_NON_DUPLICATE = 'prepend-non-duplicate' +DSV_TYPE_PREPEND_NON_DUPLICATE_IF_EXISTS = 'prepend-non-duplicate-if-exists' +DSV_TYPE_SET = 'set' +DSV_TYPE_SET_IF_UNSET = 'set-if-unset' +DSV_TYPE_SOURCE = 'source' + + +def main(argv=sys.argv[1:]): # noqa: D103 + parser = argparse.ArgumentParser( + description='Output shell commands for the packages in topological ' + 'order') + parser.add_argument( + 'primary_extension', + help='The file extension of the primary shell') + parser.add_argument( + 'additional_extension', nargs='?', + help='The additional file extension to be considered') + parser.add_argument( + '--merged-install', action='store_true', + help='All install prefixes are merged into a single location') + args = parser.parse_args(argv) + + packages = get_packages(Path(__file__).parent, args.merged_install) + + ordered_packages = order_packages(packages) + for pkg_name in ordered_packages: + if _include_comments(): + print( + FORMAT_STR_COMMENT_LINE.format_map( + {'comment': 'Package: ' + pkg_name})) + prefix = os.path.abspath(os.path.dirname(__file__)) + if not args.merged_install: + prefix = os.path.join(prefix, pkg_name) + for line in get_commands( + pkg_name, prefix, args.primary_extension, + args.additional_extension + ): + print(line) + + for line in _remove_ending_separators(): + print(line) + + +def get_packages(prefix_path, merged_install): + """ + Find packages based on colcon-specific files created during installation. + + :param Path prefix_path: The install prefix path of all packages + :param bool merged_install: The flag if the packages are all installed + directly in the prefix or if each package is installed in a subdirectory + named after the package + :returns: A mapping from the package name to the set of runtime + dependencies + :rtype: dict + """ + packages = {} + # since importing colcon_core isn't feasible here the following constant + # must match colcon_core.location.get_relative_package_index_path() + subdirectory = 'share/colcon-core/packages' + if merged_install: + # return if workspace is empty + if not (prefix_path / subdirectory).is_dir(): + return packages + # find all files in the subdirectory + for p in (prefix_path / subdirectory).iterdir(): + if not p.is_file(): + continue + if p.name.startswith('.'): + continue + add_package_runtime_dependencies(p, packages) + else: + # for each subdirectory look for the package specific file + for p in prefix_path.iterdir(): + if not p.is_dir(): + continue + if p.name.startswith('.'): + continue + p = p / subdirectory / p.name + if p.is_file(): + add_package_runtime_dependencies(p, packages) + + # remove unknown dependencies + pkg_names = set(packages.keys()) + for k in packages.keys(): + packages[k] = {d for d in packages[k] if d in pkg_names} + + return packages + + +def add_package_runtime_dependencies(path, packages): + """ + Check the path and if it exists extract the packages runtime dependencies. + + :param Path path: The resource file containing the runtime dependencies + :param dict packages: A mapping from package names to the sets of runtime + dependencies to add to + """ + content = path.read_text() + dependencies = set(content.split(os.pathsep) if content else []) + packages[path.name] = dependencies + + +def order_packages(packages): + """ + Order packages topologically. + + :param dict packages: A mapping from package name to the set of runtime + dependencies + :returns: The package names + :rtype: list + """ + # select packages with no dependencies in alphabetical order + to_be_ordered = list(packages.keys()) + ordered = [] + while to_be_ordered: + pkg_names_without_deps = [ + name for name in to_be_ordered if not packages[name]] + if not pkg_names_without_deps: + reduce_cycle_set(packages) + raise RuntimeError( + 'Circular dependency between: ' + ', '.join(sorted(packages))) + pkg_names_without_deps.sort() + pkg_name = pkg_names_without_deps[0] + to_be_ordered.remove(pkg_name) + ordered.append(pkg_name) + # remove item from dependency lists + for k in list(packages.keys()): + if pkg_name in packages[k]: + packages[k].remove(pkg_name) + return ordered + + +def reduce_cycle_set(packages): + """ + Reduce the set of packages to the ones part of the circular dependency. + + :param dict packages: A mapping from package name to the set of runtime + dependencies which is modified in place + """ + last_depended = None + while len(packages) > 0: + # get all remaining dependencies + depended = set() + for pkg_name, dependencies in packages.items(): + depended = depended.union(dependencies) + # remove all packages which are not dependent on + for name in list(packages.keys()): + if name not in depended: + del packages[name] + if last_depended: + # if remaining packages haven't changed return them + if last_depended == depended: + return packages.keys() + # otherwise reduce again + last_depended = depended + + +def _include_comments(): + # skipping comment lines when COLCON_TRACE is not set speeds up the + # processing especially on Windows + return bool(os.environ.get('COLCON_TRACE')) + + +def get_commands(pkg_name, prefix, primary_extension, additional_extension): + commands = [] + package_dsv_path = os.path.join(prefix, 'share', pkg_name, 'package.dsv') + if os.path.exists(package_dsv_path): + commands += process_dsv_file( + package_dsv_path, prefix, primary_extension, additional_extension) + return commands + + +def process_dsv_file( + dsv_path, prefix, primary_extension=None, additional_extension=None +): + commands = [] + if _include_comments(): + commands.append(FORMAT_STR_COMMENT_LINE.format_map({'comment': dsv_path})) + with open(dsv_path, 'r') as h: + content = h.read() + lines = content.splitlines() + + basenames = OrderedDict() + for i, line in enumerate(lines): + # skip over empty or whitespace-only lines + if not line.strip(): + continue + try: + type_, remainder = line.split(';', 1) + except ValueError: + raise RuntimeError( + "Line %d in '%s' doesn't contain a semicolon separating the " + 'type from the arguments' % (i + 1, dsv_path)) + if type_ != DSV_TYPE_SOURCE: + # handle non-source lines + try: + commands += handle_dsv_types_except_source( + type_, remainder, prefix) + except RuntimeError as e: + raise RuntimeError( + "Line %d in '%s' %s" % (i + 1, dsv_path, e)) from e + else: + # group remaining source lines by basename + path_without_ext, ext = os.path.splitext(remainder) + if path_without_ext not in basenames: + basenames[path_without_ext] = set() + assert ext.startswith('.') + ext = ext[1:] + if ext in (primary_extension, additional_extension): + basenames[path_without_ext].add(ext) + + # add the dsv extension to each basename if the file exists + for basename, extensions in basenames.items(): + if not os.path.isabs(basename): + basename = os.path.join(prefix, basename) + if os.path.exists(basename + '.dsv'): + extensions.add('dsv') + + for basename, extensions in basenames.items(): + if not os.path.isabs(basename): + basename = os.path.join(prefix, basename) + if 'dsv' in extensions: + # process dsv files recursively + commands += process_dsv_file( + basename + '.dsv', prefix, primary_extension=primary_extension, + additional_extension=additional_extension) + elif primary_extension in extensions and len(extensions) == 1: + # source primary-only files + commands += [ + FORMAT_STR_INVOKE_SCRIPT.format_map({ + 'prefix': prefix, + 'script_path': basename + '.' + primary_extension})] + elif additional_extension in extensions: + # source non-primary files + commands += [ + FORMAT_STR_INVOKE_SCRIPT.format_map({ + 'prefix': prefix, + 'script_path': basename + '.' + additional_extension})] + + return commands + + +def handle_dsv_types_except_source(type_, remainder, prefix): + commands = [] + if type_ in (DSV_TYPE_SET, DSV_TYPE_SET_IF_UNSET): + try: + env_name, value = remainder.split(';', 1) + except ValueError: + raise RuntimeError( + "doesn't contain a semicolon separating the environment name " + 'from the value') + try_prefixed_value = os.path.join(prefix, value) if value else prefix + if os.path.exists(try_prefixed_value): + value = try_prefixed_value + if type_ == DSV_TYPE_SET: + commands += _set(env_name, value) + elif type_ == DSV_TYPE_SET_IF_UNSET: + commands += _set_if_unset(env_name, value) + else: + assert False + elif type_ in ( + DSV_TYPE_APPEND_NON_DUPLICATE, + DSV_TYPE_PREPEND_NON_DUPLICATE, + DSV_TYPE_PREPEND_NON_DUPLICATE_IF_EXISTS + ): + try: + env_name_and_values = remainder.split(';') + except ValueError: + raise RuntimeError( + "doesn't contain a semicolon separating the environment name " + 'from the values') + env_name = env_name_and_values[0] + values = env_name_and_values[1:] + for value in values: + if not value: + value = prefix + elif not os.path.isabs(value): + value = os.path.join(prefix, value) + if ( + type_ == DSV_TYPE_PREPEND_NON_DUPLICATE_IF_EXISTS and + not os.path.exists(value) + ): + comment = f'skip extending {env_name} with not existing ' \ + f'path: {value}' + if _include_comments(): + commands.append( + FORMAT_STR_COMMENT_LINE.format_map({'comment': comment})) + elif type_ == DSV_TYPE_APPEND_NON_DUPLICATE: + commands += _append_unique_value(env_name, value) + else: + commands += _prepend_unique_value(env_name, value) + else: + raise RuntimeError( + 'contains an unknown environment hook type: ' + type_) + return commands + + +env_state = {} + + +def _append_unique_value(name, value): + global env_state + if name not in env_state: + if os.environ.get(name): + env_state[name] = set(os.environ[name].split(os.pathsep)) + else: + env_state[name] = set() + # append even if the variable has not been set yet, in case a shell script sets the + # same variable without the knowledge of this Python script. + # later _remove_ending_separators() will cleanup any unintentional leading separator + extend = FORMAT_STR_USE_ENV_VAR.format_map({'name': name}) + os.pathsep + line = FORMAT_STR_SET_ENV_VAR.format_map( + {'name': name, 'value': extend + value}) + if value not in env_state[name]: + env_state[name].add(value) + else: + if not _include_comments(): + return [] + line = FORMAT_STR_COMMENT_LINE.format_map({'comment': line}) + return [line] + + +def _prepend_unique_value(name, value): + global env_state + if name not in env_state: + if os.environ.get(name): + env_state[name] = set(os.environ[name].split(os.pathsep)) + else: + env_state[name] = set() + # prepend even if the variable has not been set yet, in case a shell script sets the + # same variable without the knowledge of this Python script. + # later _remove_ending_separators() will cleanup any unintentional trailing separator + extend = os.pathsep + FORMAT_STR_USE_ENV_VAR.format_map({'name': name}) + line = FORMAT_STR_SET_ENV_VAR.format_map( + {'name': name, 'value': value + extend}) + if value not in env_state[name]: + env_state[name].add(value) + else: + if not _include_comments(): + return [] + line = FORMAT_STR_COMMENT_LINE.format_map({'comment': line}) + return [line] + + +# generate commands for removing prepended underscores +def _remove_ending_separators(): + # do nothing if the shell extension does not implement the logic + if FORMAT_STR_REMOVE_TRAILING_SEPARATOR is None: + return [] + + global env_state + commands = [] + for name in env_state: + # skip variables that already had values before this script started prepending + if name in os.environ: + continue + commands += [ + FORMAT_STR_REMOVE_LEADING_SEPARATOR.format_map({'name': name}), + FORMAT_STR_REMOVE_TRAILING_SEPARATOR.format_map({'name': name})] + return commands + + +def _set(name, value): + global env_state + env_state[name] = value + line = FORMAT_STR_SET_ENV_VAR.format_map( + {'name': name, 'value': value}) + return [line] + + +def _set_if_unset(name, value): + global env_state + line = FORMAT_STR_SET_ENV_VAR.format_map( + {'name': name, 'value': value}) + if env_state.get(name, os.environ.get(name)): + line = FORMAT_STR_COMMENT_LINE.format_map({'comment': line}) + return [line] + + +if __name__ == '__main__': # pragma: no cover + try: + rc = main() + except RuntimeError as e: + print(str(e), file=sys.stderr) + rc = 1 + sys.exit(rc) diff --git a/marshall/install/local_setup.bash b/marshall/install/local_setup.bash new file mode 100644 index 0000000..efd5f8c --- /dev/null +++ b/marshall/install/local_setup.bash @@ -0,0 +1,107 @@ +# generated from colcon_bash/shell/template/prefix.bash.em + +# This script extends the environment with all packages contained in this +# prefix path. + +# a bash script is able to determine its own path if necessary +if [ -z "$COLCON_CURRENT_PREFIX" ]; then + _colcon_prefix_bash_COLCON_CURRENT_PREFIX="$(builtin cd "`dirname "${BASH_SOURCE[0]}"`" > /dev/null && pwd)" +else + _colcon_prefix_bash_COLCON_CURRENT_PREFIX="$COLCON_CURRENT_PREFIX" +fi + +# function to prepend a value to a variable +# which uses colons as separators +# duplicates as well as trailing separators are avoided +# first argument: the name of the result variable +# second argument: the value to be prepended +_colcon_prefix_bash_prepend_unique_value() { + # arguments + _listname="$1" + _value="$2" + + # get values from variable + eval _values=\"\$$_listname\" + # backup the field separator + _colcon_prefix_bash_prepend_unique_value_IFS="$IFS" + IFS=":" + # start with the new value + _all_values="$_value" + # iterate over existing values in the variable + for _item in $_values; do + # ignore empty strings + if [ -z "$_item" ]; then + continue + fi + # ignore duplicates of _value + if [ "$_item" = "$_value" ]; then + continue + fi + # keep non-duplicate values + _all_values="$_all_values:$_item" + done + unset _item + # restore the field separator + IFS="$_colcon_prefix_bash_prepend_unique_value_IFS" + unset _colcon_prefix_bash_prepend_unique_value_IFS + # export the updated variable + eval export $_listname=\"$_all_values\" + unset _all_values + unset _values + + unset _value + unset _listname +} + +# add this prefix to the COLCON_PREFIX_PATH +_colcon_prefix_bash_prepend_unique_value COLCON_PREFIX_PATH "$_colcon_prefix_bash_COLCON_CURRENT_PREFIX" +unset _colcon_prefix_bash_prepend_unique_value + +# check environment variable for custom Python executable +if [ -n "$COLCON_PYTHON_EXECUTABLE" ]; then + if [ ! -f "$COLCON_PYTHON_EXECUTABLE" ]; then + echo "error: COLCON_PYTHON_EXECUTABLE '$COLCON_PYTHON_EXECUTABLE' doesn't exist" + return 1 + fi + _colcon_python_executable="$COLCON_PYTHON_EXECUTABLE" +else + # try the Python executable known at configure time + _colcon_python_executable="/usr/bin/python3" + # if it doesn't exist try a fall back + if [ ! -f "$_colcon_python_executable" ]; then + if ! /usr/bin/env python3 --version > /dev/null 2> /dev/null; then + echo "error: unable to find python3 executable" + return 1 + fi + _colcon_python_executable=`/usr/bin/env python3 -c "import sys; print(sys.executable)"` + fi +fi + +# function to source another script with conditional trace output +# first argument: the path of the script +_colcon_prefix_sh_source_script() { + if [ -f "$1" ]; then + if [ -n "$COLCON_TRACE" ]; then + echo ". \"$1\"" + fi + . "$1" + else + echo "not found: \"$1\"" 1>&2 + fi +} + +# get all commands in topological order +_colcon_ordered_commands="$($_colcon_python_executable "$_colcon_prefix_bash_COLCON_CURRENT_PREFIX/_local_setup_util_sh.py" sh bash)" +unset _colcon_python_executable +if [ -n "$COLCON_TRACE" ]; then + echo "Execute generated script:" + echo "<<<" + echo "${_colcon_ordered_commands}" + echo ">>>" +fi +eval "${_colcon_ordered_commands}" +unset _colcon_ordered_commands + +unset _colcon_prefix_sh_source_script + +unset _colcon_prefix_bash_COLCON_CURRENT_PREFIX diff --git a/marshall/install/local_setup.ps1 b/marshall/install/local_setup.ps1 new file mode 100644 index 0000000..6f68c8d --- /dev/null +++ b/marshall/install/local_setup.ps1 @@ -0,0 +1,55 @@ +# generated from colcon_powershell/shell/template/prefix.ps1.em + +# This script extends the environment with all packages contained in this +# prefix path. + +# check environment variable for custom Python executable +if ($env:COLCON_PYTHON_EXECUTABLE) { + if (!(Test-Path "$env:COLCON_PYTHON_EXECUTABLE" -PathType Leaf)) { + echo "error: COLCON_PYTHON_EXECUTABLE '$env:COLCON_PYTHON_EXECUTABLE' doesn't exist" + exit 1 + } + $_colcon_python_executable="$env:COLCON_PYTHON_EXECUTABLE" +} else { + # use the Python executable known at configure time + $_colcon_python_executable="/usr/bin/python3" + # if it doesn't exist try a fall back + if (!(Test-Path "$_colcon_python_executable" -PathType Leaf)) { + if (!(Get-Command "python3" -ErrorAction SilentlyContinue)) { + echo "error: unable to find python3 executable" + exit 1 + } + $_colcon_python_executable="python3" + } +} + +# function to source another script with conditional trace output +# first argument: the path of the script +function _colcon_prefix_powershell_source_script { + param ( + $_colcon_prefix_powershell_source_script_param + ) + # source script with conditional trace output + if (Test-Path $_colcon_prefix_powershell_source_script_param) { + if ($env:COLCON_TRACE) { + echo ". '$_colcon_prefix_powershell_source_script_param'" + } + . "$_colcon_prefix_powershell_source_script_param" + } else { + Write-Error "not found: '$_colcon_prefix_powershell_source_script_param'" + } +} + +# get all commands in topological order +$_colcon_ordered_commands = & "$_colcon_python_executable" "$(Split-Path $PSCommandPath -Parent)/_local_setup_util_ps1.py" ps1 + +# execute all commands in topological order +if ($env:COLCON_TRACE) { + echo "Execute generated script:" + echo "<<<" + $_colcon_ordered_commands.Split([Environment]::NewLine, [StringSplitOptions]::RemoveEmptyEntries) | Write-Output + echo ">>>" +} +if ($_colcon_ordered_commands) { + $_colcon_ordered_commands.Split([Environment]::NewLine, [StringSplitOptions]::RemoveEmptyEntries) | Invoke-Expression +} diff --git a/marshall/install/local_setup.sh b/marshall/install/local_setup.sh new file mode 100644 index 0000000..7be8813 --- /dev/null +++ b/marshall/install/local_setup.sh @@ -0,0 +1,137 @@ +# generated from colcon_core/shell/template/prefix.sh.em + +# This script extends the environment with all packages contained in this +# prefix path. + +# since a plain shell script can't determine its own path when being sourced +# either use the provided COLCON_CURRENT_PREFIX +# or fall back to the build time prefix (if it exists) +_colcon_prefix_sh_COLCON_CURRENT_PREFIX="/home/grimmlins/Documents/GitHub/treefitting/marshall/install" +if [ -z "$COLCON_CURRENT_PREFIX" ]; then + if [ ! -d "$_colcon_prefix_sh_COLCON_CURRENT_PREFIX" ]; then + echo "The build time path \"$_colcon_prefix_sh_COLCON_CURRENT_PREFIX\" doesn't exist. Either source a script for a different shell or set the environment variable \"COLCON_CURRENT_PREFIX\" explicitly." 1>&2 + unset _colcon_prefix_sh_COLCON_CURRENT_PREFIX + return 1 + fi +else + _colcon_prefix_sh_COLCON_CURRENT_PREFIX="$COLCON_CURRENT_PREFIX" +fi + +# function to prepend a value to a variable +# which uses colons as separators +# duplicates as well as trailing separators are avoided +# first argument: the name of the result variable +# second argument: the value to be prepended +_colcon_prefix_sh_prepend_unique_value() { + # arguments + _listname="$1" + _value="$2" + + # get values from variable + eval _values=\"\$$_listname\" + # backup the field separator + _colcon_prefix_sh_prepend_unique_value_IFS="$IFS" + IFS=":" + # start with the new value + _all_values="$_value" + _contained_value="" + # iterate over existing values in the variable + for _item in $_values; do + # ignore empty strings + if [ -z "$_item" ]; then + continue + fi + # ignore duplicates of _value + if [ "$_item" = "$_value" ]; then + _contained_value=1 + continue + fi + # keep non-duplicate values + _all_values="$_all_values:$_item" + done + unset _item + if [ -z "$_contained_value" ]; then + if [ -n "$COLCON_TRACE" ]; then + if [ "$_all_values" = "$_value" ]; then + echo "export $_listname=$_value" + else + echo "export $_listname=$_value:\$$_listname" + fi + fi + fi + unset _contained_value + # restore the field separator + IFS="$_colcon_prefix_sh_prepend_unique_value_IFS" + unset _colcon_prefix_sh_prepend_unique_value_IFS + # export the updated variable + eval export $_listname=\"$_all_values\" + unset _all_values + unset _values + + unset _value + unset _listname +} + +# add this prefix to the COLCON_PREFIX_PATH +_colcon_prefix_sh_prepend_unique_value COLCON_PREFIX_PATH "$_colcon_prefix_sh_COLCON_CURRENT_PREFIX" +unset _colcon_prefix_sh_prepend_unique_value + +# check environment variable for custom Python executable +if [ -n "$COLCON_PYTHON_EXECUTABLE" ]; then + if [ ! -f "$COLCON_PYTHON_EXECUTABLE" ]; then + echo "error: COLCON_PYTHON_EXECUTABLE '$COLCON_PYTHON_EXECUTABLE' doesn't exist" + return 1 + fi + _colcon_python_executable="$COLCON_PYTHON_EXECUTABLE" +else + # try the Python executable known at configure time + _colcon_python_executable="/usr/bin/python3" + # if it doesn't exist try a fall back + if [ ! -f "$_colcon_python_executable" ]; then + if ! /usr/bin/env python3 --version > /dev/null 2> /dev/null; then + echo "error: unable to find python3 executable" + return 1 + fi + _colcon_python_executable=`/usr/bin/env python3 -c "import sys; print(sys.executable)"` + fi +fi + +# function to source another script with conditional trace output +# first argument: the path of the script +_colcon_prefix_sh_source_script() { + if [ -f "$1" ]; then + if [ -n "$COLCON_TRACE" ]; then + echo "# . \"$1\"" + fi + . "$1" + else + echo "not found: \"$1\"" 1>&2 + fi +} + +# get all commands in topological order +_colcon_ordered_commands="$($_colcon_python_executable "$_colcon_prefix_sh_COLCON_CURRENT_PREFIX/_local_setup_util_sh.py" sh)" +unset _colcon_python_executable +if [ -n "$COLCON_TRACE" ]; then + echo "_colcon_prefix_sh_source_script() { + if [ -f \"\$1\" ]; then + if [ -n \"\$COLCON_TRACE\" ]; then + echo \"# . \\\"\$1\\\"\" + fi + . \"\$1\" + else + echo \"not found: \\\"\$1\\\"\" 1>&2 + fi + }" + echo "# Execute generated script:" + echo "# <<<" + echo "${_colcon_ordered_commands}" + echo "# >>>" + echo "unset _colcon_prefix_sh_source_script" +fi +eval "${_colcon_ordered_commands}" +unset _colcon_ordered_commands + +unset _colcon_prefix_sh_source_script + +unset _colcon_prefix_sh_COLCON_CURRENT_PREFIX diff --git a/marshall/install/local_setup.zsh b/marshall/install/local_setup.zsh new file mode 100644 index 0000000..f7a8d90 --- /dev/null +++ b/marshall/install/local_setup.zsh @@ -0,0 +1,120 @@ +# generated from colcon_zsh/shell/template/prefix.zsh.em + +# This script extends the environment with all packages contained in this +# prefix path. + +# a zsh script is able to determine its own path if necessary +if [ -z "$COLCON_CURRENT_PREFIX" ]; then + _colcon_prefix_zsh_COLCON_CURRENT_PREFIX="$(builtin cd -q "`dirname "${(%):-%N}"`" > /dev/null && pwd)" +else + _colcon_prefix_zsh_COLCON_CURRENT_PREFIX="$COLCON_CURRENT_PREFIX" +fi + +# function to convert array-like strings into arrays +# to workaround SH_WORD_SPLIT not being set +_colcon_prefix_zsh_convert_to_array() { + local _listname=$1 + local _dollar="$" + local _split="{=" + local _to_array="(\"$_dollar$_split$_listname}\")" + eval $_listname=$_to_array +} + +# function to prepend a value to a variable +# which uses colons as separators +# duplicates as well as trailing separators are avoided +# first argument: the name of the result variable +# second argument: the value to be prepended +_colcon_prefix_zsh_prepend_unique_value() { + # arguments + _listname="$1" + _value="$2" + + # get values from variable + eval _values=\"\$$_listname\" + # backup the field separator + _colcon_prefix_zsh_prepend_unique_value_IFS="$IFS" + IFS=":" + # start with the new value + _all_values="$_value" + # workaround SH_WORD_SPLIT not being set + _colcon_prefix_zsh_convert_to_array _values + # iterate over existing values in the variable + for _item in $_values; do + # ignore empty strings + if [ -z "$_item" ]; then + continue + fi + # ignore duplicates of _value + if [ "$_item" = "$_value" ]; then + continue + fi + # keep non-duplicate values + _all_values="$_all_values:$_item" + done + unset _item + # restore the field separator + IFS="$_colcon_prefix_zsh_prepend_unique_value_IFS" + unset _colcon_prefix_zsh_prepend_unique_value_IFS + # export the updated variable + eval export $_listname=\"$_all_values\" + unset _all_values + unset _values + + unset _value + unset _listname +} + +# add this prefix to the COLCON_PREFIX_PATH +_colcon_prefix_zsh_prepend_unique_value COLCON_PREFIX_PATH "$_colcon_prefix_zsh_COLCON_CURRENT_PREFIX" +unset _colcon_prefix_zsh_prepend_unique_value +unset _colcon_prefix_zsh_convert_to_array + +# check environment variable for custom Python executable +if [ -n "$COLCON_PYTHON_EXECUTABLE" ]; then + if [ ! -f "$COLCON_PYTHON_EXECUTABLE" ]; then + echo "error: COLCON_PYTHON_EXECUTABLE '$COLCON_PYTHON_EXECUTABLE' doesn't exist" + return 1 + fi + _colcon_python_executable="$COLCON_PYTHON_EXECUTABLE" +else + # try the Python executable known at configure time + _colcon_python_executable="/usr/bin/python3" + # if it doesn't exist try a fall back + if [ ! -f "$_colcon_python_executable" ]; then + if ! /usr/bin/env python3 --version > /dev/null 2> /dev/null; then + echo "error: unable to find python3 executable" + return 1 + fi + _colcon_python_executable=`/usr/bin/env python3 -c "import sys; print(sys.executable)"` + fi +fi + +# function to source another script with conditional trace output +# first argument: the path of the script +_colcon_prefix_sh_source_script() { + if [ -f "$1" ]; then + if [ -n "$COLCON_TRACE" ]; then + echo ". \"$1\"" + fi + . "$1" + else + echo "not found: \"$1\"" 1>&2 + fi +} + +# get all commands in topological order +_colcon_ordered_commands="$($_colcon_python_executable "$_colcon_prefix_zsh_COLCON_CURRENT_PREFIX/_local_setup_util_sh.py" sh zsh)" +unset _colcon_python_executable +if [ -n "$COLCON_TRACE" ]; then + echo "Execute generated script:" + echo "<<<" + echo "${_colcon_ordered_commands}" + echo ">>>" +fi +eval "${_colcon_ordered_commands}" +unset _colcon_ordered_commands + +unset _colcon_prefix_sh_source_script + +unset _colcon_prefix_zsh_COLCON_CURRENT_PREFIX diff --git a/marshall/install/setup.bash b/marshall/install/setup.bash new file mode 100644 index 0000000..4c55244 --- /dev/null +++ b/marshall/install/setup.bash @@ -0,0 +1,31 @@ +# generated from colcon_bash/shell/template/prefix_chain.bash.em + +# This script extends the environment with the environment of other prefix +# paths which were sourced when this file was generated as well as all packages +# contained in this prefix path. + +# function to source another script with conditional trace output +# first argument: the path of the script +_colcon_prefix_chain_bash_source_script() { + if [ -f "$1" ]; then + if [ -n "$COLCON_TRACE" ]; then + echo ". \"$1\"" + fi + . "$1" + else + echo "not found: \"$1\"" 1>&2 + fi +} + +# source chained prefixes +# setting COLCON_CURRENT_PREFIX avoids determining the prefix in the sourced script +COLCON_CURRENT_PREFIX="/opt/ros/humble" +_colcon_prefix_chain_bash_source_script "$COLCON_CURRENT_PREFIX/local_setup.bash" + +# source this prefix +# setting COLCON_CURRENT_PREFIX avoids determining the prefix in the sourced script +COLCON_CURRENT_PREFIX="$(builtin cd "`dirname "${BASH_SOURCE[0]}"`" > /dev/null && pwd)" +_colcon_prefix_chain_bash_source_script "$COLCON_CURRENT_PREFIX/local_setup.bash" + +unset COLCON_CURRENT_PREFIX +unset _colcon_prefix_chain_bash_source_script diff --git a/marshall/install/setup.ps1 b/marshall/install/setup.ps1 new file mode 100644 index 0000000..558e9b9 --- /dev/null +++ b/marshall/install/setup.ps1 @@ -0,0 +1,29 @@ +# generated from colcon_powershell/shell/template/prefix_chain.ps1.em + +# This script extends the environment with the environment of other prefix +# paths which were sourced when this file was generated as well as all packages +# contained in this prefix path. + +# function to source another script with conditional trace output +# first argument: the path of the script +function _colcon_prefix_chain_powershell_source_script { + param ( + $_colcon_prefix_chain_powershell_source_script_param + ) + # source script with conditional trace output + if (Test-Path $_colcon_prefix_chain_powershell_source_script_param) { + if ($env:COLCON_TRACE) { + echo ". '$_colcon_prefix_chain_powershell_source_script_param'" + } + . "$_colcon_prefix_chain_powershell_source_script_param" + } else { + Write-Error "not found: '$_colcon_prefix_chain_powershell_source_script_param'" + } +} + +# source chained prefixes +_colcon_prefix_chain_powershell_source_script "/opt/ros/humble\local_setup.ps1" + +# source this prefix +$env:COLCON_CURRENT_PREFIX=(Split-Path $PSCommandPath -Parent) +_colcon_prefix_chain_powershell_source_script "$env:COLCON_CURRENT_PREFIX\local_setup.ps1" diff --git a/marshall/install/setup.sh b/marshall/install/setup.sh new file mode 100644 index 0000000..7bf631b --- /dev/null +++ b/marshall/install/setup.sh @@ -0,0 +1,45 @@ +# generated from colcon_core/shell/template/prefix_chain.sh.em + +# This script extends the environment with the environment of other prefix +# paths which were sourced when this file was generated as well as all packages +# contained in this prefix path. + +# since a plain shell script can't determine its own path when being sourced +# either use the provided COLCON_CURRENT_PREFIX +# or fall back to the build time prefix (if it exists) +_colcon_prefix_chain_sh_COLCON_CURRENT_PREFIX=/home/grimmlins/Documents/GitHub/treefitting/marshall/install +if [ ! -z "$COLCON_CURRENT_PREFIX" ]; then + _colcon_prefix_chain_sh_COLCON_CURRENT_PREFIX="$COLCON_CURRENT_PREFIX" +elif [ ! -d "$_colcon_prefix_chain_sh_COLCON_CURRENT_PREFIX" ]; then + echo "The build time path \"$_colcon_prefix_chain_sh_COLCON_CURRENT_PREFIX\" doesn't exist. Either source a script for a different shell or set the environment variable \"COLCON_CURRENT_PREFIX\" explicitly." 1>&2 + unset _colcon_prefix_chain_sh_COLCON_CURRENT_PREFIX + return 1 +fi + +# function to source another script with conditional trace output +# first argument: the path of the script +_colcon_prefix_chain_sh_source_script() { + if [ -f "$1" ]; then + if [ -n "$COLCON_TRACE" ]; then + echo "# . \"$1\"" + fi + . "$1" + else + echo "not found: \"$1\"" 1>&2 + fi +} + +# source chained prefixes +# setting COLCON_CURRENT_PREFIX avoids relying on the build time prefix of the sourced script +COLCON_CURRENT_PREFIX="/opt/ros/humble" +_colcon_prefix_chain_sh_source_script "$COLCON_CURRENT_PREFIX/local_setup.sh" + + +# source this prefix +# setting COLCON_CURRENT_PREFIX avoids relying on the build time prefix of the sourced script +COLCON_CURRENT_PREFIX="$_colcon_prefix_chain_sh_COLCON_CURRENT_PREFIX" +_colcon_prefix_chain_sh_source_script "$COLCON_CURRENT_PREFIX/local_setup.sh" + +unset _colcon_prefix_chain_sh_COLCON_CURRENT_PREFIX +unset _colcon_prefix_chain_sh_source_script +unset COLCON_CURRENT_PREFIX diff --git a/marshall/install/setup.zsh b/marshall/install/setup.zsh new file mode 100644 index 0000000..990d171 --- /dev/null +++ b/marshall/install/setup.zsh @@ -0,0 +1,31 @@ +# generated from colcon_zsh/shell/template/prefix_chain.zsh.em + +# This script extends the environment with the environment of other prefix +# paths which were sourced when this file was generated as well as all packages +# contained in this prefix path. + +# function to source another script with conditional trace output +# first argument: the path of the script +_colcon_prefix_chain_zsh_source_script() { + if [ -f "$1" ]; then + if [ -n "$COLCON_TRACE" ]; then + echo ". \"$1\"" + fi + . "$1" + else + echo "not found: \"$1\"" 1>&2 + fi +} + +# source chained prefixes +# setting COLCON_CURRENT_PREFIX avoids determining the prefix in the sourced script +COLCON_CURRENT_PREFIX="/opt/ros/humble" +_colcon_prefix_chain_zsh_source_script "$COLCON_CURRENT_PREFIX/local_setup.zsh" + +# source this prefix +# setting COLCON_CURRENT_PREFIX avoids determining the prefix in the sourced script +COLCON_CURRENT_PREFIX="$(builtin cd -q "`dirname "${(%):-%N}"`" > /dev/null && pwd)" +_colcon_prefix_chain_zsh_source_script "$COLCON_CURRENT_PREFIX/local_setup.zsh" + +unset COLCON_CURRENT_PREFIX +unset _colcon_prefix_chain_zsh_source_script diff --git a/marshall/log/COLCON_IGNORE b/marshall/log/COLCON_IGNORE new file mode 100644 index 0000000..e69de29 diff --git a/marshall/log/build_2023-09-02_12-15-53/events.log b/marshall/log/build_2023-09-02_12-15-53/events.log new file mode 100644 index 0000000..a5b1e71 --- /dev/null +++ b/marshall/log/build_2023-09-02_12-15-53/events.log @@ -0,0 +1,2 @@ +[0.000000] (-) TimerEvent: {} +[0.000517] (-) EventReactorShutdown: {} diff --git a/marshall/log/build_2023-09-02_12-15-53/logger_all.log b/marshall/log/build_2023-09-02_12-15-53/logger_all.log new file mode 100644 index 0000000..c365ecd --- /dev/null +++ b/marshall/log/build_2023-09-02_12-15-53/logger_all.log @@ -0,0 +1,90 @@ +[0.314s] DEBUG:colcon:Command line arguments: ['/usr/bin/colcon', 'build'] +[0.314s] DEBUG:colcon:Parsed command line arguments: Namespace(log_base=None, log_level=None, verb_name='build', build_base='build', install_base='install', merge_install=False, symlink_install=False, test_result_base=None, continue_on_error=False, executor='parallel', parallel_workers=16, event_handlers=None, ignore_user_meta=False, metas=['./colcon.meta'], base_paths=['.'], packages_ignore=None, packages_ignore_regex=None, paths=None, packages_up_to=None, packages_up_to_regex=None, packages_above=None, packages_above_and_dependencies=None, packages_above_depth=None, packages_select_by_dep=None, packages_skip_by_dep=None, packages_skip_up_to=None, packages_select_build_failed=False, packages_skip_build_finished=False, packages_select_test_failures=False, packages_skip_test_passed=False, packages_select=None, packages_skip=None, packages_select_regex=None, packages_skip_regex=None, packages_start=None, packages_end=None, allow_overriding=[], cmake_args=None, cmake_target=None, cmake_target_skip_unavailable=False, cmake_clean_cache=False, cmake_clean_first=False, cmake_force_configure=False, ament_cmake_args=None, catkin_cmake_args=None, catkin_skip_building_tests=False, verb_parser=, verb_extension=, main=>) +[0.343s] Level 1:colcon.colcon_core.package_discovery:discover_packages(colcon_meta) check parameters +[0.343s] Level 1:colcon.colcon_core.package_discovery:discover_packages(recursive) check parameters +[0.343s] Level 1:colcon.colcon_core.package_discovery:discover_packages(ignore) check parameters +[0.343s] Level 1:colcon.colcon_core.package_discovery:discover_packages(path) check parameters +[0.343s] Level 1:colcon.colcon_core.package_discovery:discover_packages(colcon_meta) discover +[0.343s] Level 1:colcon.colcon_core.package_discovery:discover_packages(recursive) discover +[0.343s] INFO:colcon.colcon_core.package_discovery:Crawling recursively for packages in '/home/grimmlins/Documents/GitHub/treefitting/marshall' +[0.343s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extensions ['ignore', 'ignore_ament_install'] +[0.343s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extension 'ignore' +[0.343s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extension 'ignore_ament_install' +[0.343s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extensions ['colcon_pkg'] +[0.344s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extension 'colcon_pkg' +[0.344s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extensions ['colcon_meta'] +[0.344s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extension 'colcon_meta' +[0.344s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extensions ['ros'] +[0.344s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extension 'ros' +[0.354s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extensions ['cmake', 'python'] +[0.354s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extension 'cmake' +[0.354s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extension 'python' +[0.354s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extensions ['python_setup_py'] +[0.354s] Level 1:colcon.colcon_core.package_identification:_identify(.) by extension 'python_setup_py' +[0.354s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extensions ['ignore', 'ignore_ament_install'] +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extension 'ignore' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extension 'ignore_ament_install' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extensions ['colcon_pkg'] +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extension 'colcon_pkg' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extensions ['colcon_meta'] +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extension 'colcon_meta' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extensions ['ros'] +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extension 'ros' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extensions ['cmake', 'python'] +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extension 'cmake' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extension 'python' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extensions ['python_setup_py'] +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(Blender) by extension 'python_setup_py' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extensions ['ignore', 'ignore_ament_install'] +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extension 'ignore' +[0.355s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extension 'ignore_ament_install' +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extensions ['colcon_pkg'] +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extension 'colcon_pkg' +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extensions ['colcon_meta'] +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extension 'colcon_meta' +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extensions ['ros'] +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extension 'ros' +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extensions ['cmake', 'python'] +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extension 'cmake' +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extension 'python' +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extensions ['python_setup_py'] +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(__pycache__) by extension 'python_setup_py' +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(build) by extensions ['ignore', 'ignore_ament_install'] +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(build) by extension 'ignore' +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(build) ignored +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(install) by extensions ['ignore', 'ignore_ament_install'] +[0.356s] Level 1:colcon.colcon_core.package_identification:_identify(install) by extension 'ignore' +[0.357s] Level 1:colcon.colcon_core.package_identification:_identify(install) ignored +[0.357s] Level 1:colcon.colcon_core.package_identification:_identify(log) by extensions ['ignore', 'ignore_ament_install'] +[0.357s] Level 1:colcon.colcon_core.package_identification:_identify(log) by extension 'ignore' +[0.357s] Level 1:colcon.colcon_core.package_identification:_identify(log) ignored +[0.357s] Level 1:colcon.colcon_core.package_discovery:discover_packages(recursive) using defaults +[0.357s] Level 1:colcon.colcon_core.package_discovery:discover_packages(ignore) discover +[0.357s] Level 1:colcon.colcon_core.package_discovery:discover_packages(ignore) using defaults +[0.357s] Level 1:colcon.colcon_core.package_discovery:discover_packages(path) discover +[0.357s] Level 1:colcon.colcon_core.package_discovery:discover_packages(path) using defaults +[0.380s] Level 1:colcon.colcon_core.package_discovery:discover_packages(prefix_path) check parameters +[0.380s] Level 1:colcon.colcon_core.package_discovery:discover_packages(prefix_path) discover +[0.383s] DEBUG:colcon.colcon_installed_package_information.package_discovery:Found 368 installed packages in /opt/ros/humble +[0.385s] Level 1:colcon.colcon_core.package_discovery:discover_packages(prefix_path) using defaults +[0.451s] INFO:colcon.colcon_core.executor:Executing jobs using 'parallel' executor +[0.454s] DEBUG:colcon.colcon_parallel_executor.executor.parallel:run_until_complete +[0.454s] DEBUG:colcon.colcon_parallel_executor.executor.parallel:closing loop +[0.454s] DEBUG:colcon.colcon_parallel_executor.executor.parallel:loop closed +[0.454s] DEBUG:colcon.colcon_parallel_executor.executor.parallel:run_until_complete finished with '0' +[0.455s] DEBUG:colcon.colcon_core.event_reactor:joining thread +[0.459s] INFO:colcon.colcon_core.plugin_system:Skipping extension 'colcon_notification.desktop_notification.terminal_notifier': Not used on non-Darwin systems +[0.459s] INFO:colcon.colcon_core.plugin_system:Skipping extension 'colcon_notification.desktop_notification.win32': Not used on non-Windows systems +[0.459s] INFO:colcon.colcon_notification.desktop_notification:Sending desktop notification using 'notify2' +[0.468s] DEBUG:colcon.colcon_core.event_reactor:joined thread +[0.472s] INFO:colcon.colcon_core.plugin_system:Skipping extension 'colcon_core.shell.bat': Not used on non-Windows systems +[0.472s] INFO:colcon.colcon_core.shell:Creating prefix script '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/local_setup.ps1' +[0.473s] INFO:colcon.colcon_core.shell:Creating prefix util module '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/_local_setup_util_ps1.py' +[0.474s] INFO:colcon.colcon_core.shell:Creating prefix chain script '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/setup.ps1' +[0.475s] INFO:colcon.colcon_core.shell:Creating prefix script '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/local_setup.sh' +[0.475s] INFO:colcon.colcon_core.shell:Creating prefix util module '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/_local_setup_util_sh.py' +[0.476s] INFO:colcon.colcon_core.shell:Creating prefix chain script '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/setup.sh' +[0.476s] INFO:colcon.colcon_core.shell:Creating prefix script '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/local_setup.bash' +[0.477s] INFO:colcon.colcon_core.shell:Creating prefix chain script '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/setup.bash' +[0.477s] INFO:colcon.colcon_core.shell:Creating prefix script '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/local_setup.zsh' +[0.478s] INFO:colcon.colcon_core.shell:Creating prefix chain script '/home/grimmlins/Documents/GitHub/treefitting/marshall/install/setup.zsh' diff --git a/marshall/log/latest b/marshall/log/latest new file mode 120000 index 0000000..b57d247 --- /dev/null +++ b/marshall/log/latest @@ -0,0 +1 @@ +latest_build \ No newline at end of file diff --git a/marshall/log/latest_build b/marshall/log/latest_build new file mode 120000 index 0000000..14d2171 --- /dev/null +++ b/marshall/log/latest_build @@ -0,0 +1 @@ +build_2023-09-02_12-15-53 \ No newline at end of file diff --git a/marshall/params.py b/marshall/params.py index 62da6ae..d4d45de 100644 --- a/marshall/params.py +++ b/marshall/params.py @@ -1,4 +1,3 @@ -curve_ammt = 13 scale_factor = 100 cam = 'D435_640x480.camera.npz' #depth_img = "depth0001.raw" @@ -7,3 +6,5 @@ angle_limit = 70 nan_value = 1 video_file = "output.mkv" +num_cyl = 16 +cyls = 13 #number of cylinders outputted, a set value for now but can be changed to detect it automatically from filenames From a92215e5b178ca4d8cea47a1fb68dc749e124f00 Mon Sep 17 00:00:00 2001 From: lsaltz <40012441+lsaltz@users.noreply.github.com> Date: Mon, 4 Sep 2023 08:24:06 -0700 Subject: [PATCH 14/14] changed filename --- ...m 2023-09-04 08-17-57.png => generated_tree.png} | Bin 1 file changed, 0 insertions(+), 0 deletions(-) rename marshall/{Screenshot from 2023-09-04 08-17-57.png => generated_tree.png} (100%) diff --git a/marshall/Screenshot from 2023-09-04 08-17-57.png b/marshall/generated_tree.png similarity index 100% rename from marshall/Screenshot from 2023-09-04 08-17-57.png rename to marshall/generated_tree.png

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