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drawing.py
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drawing.py
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import cv2
import numpy as np
BORDER = 0
CV_FONT = cv2.FONT_HERSHEY_DUPLEX
# plots: array of numpy array images to plot. Can be of different sizes and dimensions as long as they are 2 or 3 dimensional.
# rows: int number of rows in subplot. If there are fewer images than rows, it will add empty space for the blanks.
# if there are fewer rows than images, it will not draw the remaining images.
# cols: int number of columns in subplot. Similar to rows.
# outputWidth: int width in pixels of a single subplot output image.
# outputHeight: int height in pixels of a single subplot output image.
# border: int amount of border padding pixels between each image.
# titles: titles for each subplot to be rendered on top of images.
# fancy_text: if true, uses a fancier font than CV_FONT, but takes longer to render.
def subplot(plots, rows, cols, outputWidth, outputHeight, border=BORDER,
titles=None, fancy_text=False):
returnedImage = np.full((
(outputHeight + 2 * border) * rows,
(outputWidth + 2 * border) * cols,
3), 191, dtype=np.uint8)
if fancy_text:
from PIL import Image, ImageDraw, ImageFont
FANCY_FONT = ImageFont.truetype(
'/usr/share/fonts/truetype/roboto/hinted/Roboto-Bold.ttf', 20)
for row in range(rows):
for col in range(cols):
if col + cols * row >= len(plots):
return returnedImage
im = plots[col + cols * row]
if im is None:
continue
if im.dtype != np.uint8 or len(im.shape) < 3:
im = im.astype(np.float32)
im -= np.min(im)
im *= 255 / max(np.max(im), 0.0001)
im = 255 - im.astype(np.uint8)
if len(im.shape) < 3:
im = cv2.applyColorMap(
im, cv2.COLORMAP_JET)
if im.shape != (outputHeight, outputWidth, 3):
imWidth = im.shape[1] * outputHeight / im.shape[0]
if imWidth > outputWidth:
imWidth = outputWidth
imHeight = im.shape[0] * outputWidth / im.shape[1]
else:
imWidth = im.shape[1] * outputHeight / im.shape[0]
imHeight = outputHeight
imWidth = int(imWidth)
imHeight = int(imHeight)
im = cv2.resize(
im, (imWidth, imHeight),
interpolation=cv2.INTER_NEAREST)
if imWidth != outputWidth:
pad0 = int(np.floor((outputWidth - imWidth) * 1.0 / 2))
pad1 = int(np.ceil((outputWidth - imWidth) * 1.0 / 2))
im = np.lib.pad(
im, ((0, 0), (pad0, pad1), (0, 0)),
'constant', constant_values=0)
elif imHeight != outputHeight:
pad0 = int(np.floor((outputHeight - imHeight) * 1.0 / 2))
pad1 = int(np.ceil((outputHeight - imHeight) * 1.0 / 2))
im = np.lib.pad(
im, ((pad0, pad1), (0, 0), (0, 0)),
'constant', constant_values=0)
if (titles is not None and len(titles) > 1 and
len(titles) > col + cols * row and
len(titles[col + cols * row]) > 0):
if fancy_text:
if im.dtype != np.uint8:
im = im.astype(np.uint8)
im = Image.fromarray(im)
draw = ImageDraw.Draw(im)
for x in range(9,12):
for y in range(9, 12):
draw.text((x, y), titles[col + cols * row], (0,0,0),
font=FANCY_FONT)
draw.text((10, 10), titles[col + cols * row], (255,255,255),
font=FANCY_FONT)
im = np.array(im)
else:
cv2.putText(im, titles[col + cols * row], (10, 30), CV_FONT, .5, [0,0,0], 4)
cv2.putText(im, titles[col + cols * row], (10, 30), CV_FONT, .5, [255,255,255], 1)
returnedImage[
border + (outputHeight + border) * row :
(outputHeight + border) * (row + 1),
border + (outputWidth + border) * col :
(outputWidth + border) * (col + 1),:] = im
im = returnedImage
# for one long title
if titles is not None and len(titles) == 1:
if fancy_text:
if im.dtype != np.uint8:
im = im.astype(np.uint8)
im = Image.fromarray(im)
draw = ImageDraw.Draw(im)
for x in range(9,12):
for y in range(9, 12):
draw.text((x, y), titles[0], (0,0,0),
font=FANCY_FONT)
draw.text((10, 10), titles[0], (255,255,255),
font=FANCY_FONT)
im = np.array(im)
else:
cv2.putText(im, titles[0], (10, 30), CV_FONT, .5, [0,0,0], 4)
cv2.putText(im, titles[0], (10, 30), CV_FONT, .5, [255,255,255], 1)
return im
# BBoxes are [x1 y1 x2 y2]
def drawRect(image, bbox, padding, color):
from my_utils.util import bb_util
imageHeight = image.shape[0]
imageWidth = image.shape[1]
bbox = np.round(np.array(bbox)) # mostly just for copying
bbox = bb_util.clip_bbox(bbox, padding, imageWidth - padding, imageHeight - padding).astype(int).squeeze()
padding = int(padding)
image[bbox[1]-padding:bbox[3]+padding+1,
bbox[0]-padding:bbox[0]+padding+1] = color
image[bbox[1]-padding:bbox[3]+padding+1,
bbox[2]-padding:bbox[2]+padding+1] = color
image[bbox[1]-padding:bbox[1]+padding+1,
bbox[0]-padding:bbox[2]+padding+1] = color
image[bbox[3]-padding:bbox[3]+padding+1,
bbox[0]-padding:bbox[2]+padding+1] = color
return image
def drawPoint(image, point, size, padding, color):
if not isinstance(point, np.ndarray):
point = np.array(point)
point = tuple(point.astype(int).tolist())
cv2.circle(image, point, int(size), color, int(padding))
'''
bbox = xywh_to_xyxy([point[0], point[1], size, size])
drawRect(image, bbox, padding, color)
'''
return image
def images_to_sprite(data, padsize=1, padval=0):
# Expects NxHxWx3.
data = data.astype(np.float64)
min = np.min(data.reshape((data.shape[0], -1)), axis=1)
data = (data.transpose(1,2,3,0) - min).transpose(3,0,1,2)
max = np.max(data.reshape((data.shape[0], -1)), axis=1)
data = (data.transpose(1,2,3,0) / max).transpose(3,0,1,2)
n = int(np.ceil(np.sqrt(data.shape[0])))
padding = ((0, n ** 2 - data.shape[0]), (0, padsize),
(0, padsize)) + ((0, 0),) * (data.ndim - 3)
data = np.pad(data, padding, mode='constant',
constant_values=(padval, padval))
# tile the filters into an image
data = data.reshape((n, n) + data.shape[1:]).transpose((0, 2, 1, 3)
+ tuple(range(4, data.ndim + 1)))
data = data.reshape((n * data.shape[1], n * data.shape[3]) + data.shape[4:])
data = (data * 255).astype(np.uint8)
return data