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measure_v3.py
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import json
import cv2
import numpy as np
import utils
import pickle
# Call camera URL for stream
camera_url = "rtsp://medicion:[email protected]:554/cam/realmonitor?channel=1&subtype=0"
# Load camera calibration data from pickle files
with open("cameraMatrix.pkl", "rb") as f:
cameraMatrix = pickle.load(f)
with open("dist.pkl", "rb") as f:
dist = pickle.load(f)
# Function to save the current slider values to a JSON file
def save_presets(filename='presets.json'):
presets = {
'Canny Threshold 1': cv2.getTrackbarPos('Canny Threshold 1', 'Trackbars'),
'Canny Threshold 2': cv2.getTrackbarPos('Canny Threshold 2', 'Trackbars'),
'Brightness': cv2.getTrackbarPos('Brightness', 'Trackbars'),
'Contrast': cv2.getTrackbarPos('Contrast', 'Trackbars'),
'Blur Kernel Size': cv2.getTrackbarPos('Blur Kernel Size', 'Trackbars'),
'Morph Kernel Size': cv2.getTrackbarPos('Morph Kernel Size', 'Trackbars'),
'Dilate Iterations': cv2.getTrackbarPos('Dilate Iterations', 'Trackbars'),
'Erode Iterations': cv2.getTrackbarPos('Erode Iterations', 'Trackbars')
}
with open(filename, 'w') as f:
json.dump(presets, f)
print(f"Presets saved to {filename}")
# Function to load slider values from a JSON file and set the sliders
def load_presets(filename='presets.json'):
try:
with open(filename, 'r') as f:
presets = json.load(f)
cv2.setTrackbarPos('Canny Threshold 1', 'Trackbars', presets['Canny Threshold 1'])
cv2.setTrackbarPos('Canny Threshold 2', 'Trackbars', presets['Canny Threshold 2'])
cv2.setTrackbarPos('Brightness', 'Trackbars', presets['Brightness'])
cv2.setTrackbarPos('Contrast', 'Trackbars', presets['Contrast'])
cv2.setTrackbarPos('Blur Kernel Size', 'Trackbars', presets['Blur Kernel Size'])
cv2.setTrackbarPos('Morph Kernel Size', 'Trackbars', presets['Morph Kernel Size'])
cv2.setTrackbarPos('Dilate Iterations', 'Trackbars', presets['Dilate Iterations'])
cv2.setTrackbarPos('Erode Iterations', 'Trackbars', presets['Erode Iterations'])
print(f"Presets loaded from {filename}")
except FileNotFoundError:
print(f"Preset file {filename} not found. Using default values.")
def initialize_capture():
cap = cv2.VideoCapture(camera_url)
return cap
def load_aruco_detector():
aruco_dict = cv2.aruco.getPredefinedDictionary(cv2.aruco.DICT_5X5_50)
parameters = cv2.aruco.DetectorParameters()
return aruco_dict, parameters
def adjust_brightness_contrast(img, brightness=255, contrast=127):
brightness = brightness - 255
contrast = contrast - 127
if contrast != 0:
alpha = contrast / 127.0 + 1.0
gamma = brightness - 128 * alpha
else:
alpha = 1.0
gamma = brightness
return cv2.addWeighted(img, alpha, img, 0, gamma)
def process_frame(img, aruco_dict, parameters, pixel_cm_ratio, cThr1, cThr2, brightness, contrast, blur_kernel_size, kernel_size, dilate_iter, erode_iter):
# Increase the font scale for larger text
font_scale = 5 # Adjust this value as needed
thickness = 2 # Adjust thickness if necessary
img = adjust_brightness_contrast(img, brightness, contrast)
corners, _, _ = cv2.aruco.detectMarkers(img, aruco_dict, parameters=parameters)
if corners:
int_corners = np.int0(corners)
cv2.polylines(img, int_corners, True, (0, 255, 0), 1)
aruco_perimeter = cv2.arcLength(corners[0], True)
pixel_cm_ratio = aruco_perimeter / (187 * 4)
print(f'pixel_cm_ratio = {pixel_cm_ratio}')
imgContours2, conts2 = utils.getContours(
img, cThr=[cThr1, cThr2], minArea=1000, filter=4, showCanny=True,
blur_kernel_size=blur_kernel_size, kernel_size=kernel_size,
dilate_iter=dilate_iter, erode_iter=erode_iter, draw=False)
if conts2:
for obj in conts2:
cv2.polylines(imgContours2, [obj[2]], True, (0, 255, 0), 2)
nPoints = utils.reorder(obj[2])
if nPoints.shape != (4, 2):
print("Error: nPoints shape is not (4, 2)")
continue
nW = round(utils.findDistance(nPoints[0] / pixel_cm_ratio, nPoints[1] / pixel_cm_ratio), 2)
nH = round(utils.findDistance(nPoints[0] / pixel_cm_ratio, nPoints[2] / pixel_cm_ratio), 2)
cv2.arrowedLine(imgContours2, (nPoints[0][0], nPoints[0][1]), (nPoints[1][0], nPoints[1][1]), (0, 0, 255), 2, 8, 0, 0.05)
cv2.arrowedLine(imgContours2, (nPoints[0][0], nPoints[0][1]), (nPoints[2][0], nPoints[2][1]), (0, 0, 255), 2, 8, 0, 0.05)
x, y, w, h = obj[3]
cv2.putText(imgContours2, f'{nW}mm', (x + 30, y - 10), cv2.FONT_HERSHEY_SIMPLEX, font_scale, (0, 0, 255), thickness)
cv2.putText(imgContours2, f'{nH}mm', (x - 70, y + h // 2), cv2.FONT_HERSHEY_SIMPLEX, font_scale , (0, 0, 255), thickness)
return imgContours2
def on_trackbar_change(val):
pass
def create_trackbar_window():
cv2.namedWindow('Trackbars', cv2.WINDOW_NORMAL)
cv2.createTrackbar('Canny Threshold 1', 'Trackbars', 140, 255, on_trackbar_change)
cv2.createTrackbar('Canny Threshold 2', 'Trackbars', 197, 255, on_trackbar_change)
cv2.createTrackbar('Brightness', 'Trackbars', 255, 510, on_trackbar_change)
cv2.createTrackbar('Contrast', 'Trackbars', 127, 3800, on_trackbar_change)
cv2.createTrackbar('Blur Kernel Size', 'Trackbars', 5, 50, on_trackbar_change)
cv2.createTrackbar('Morph Kernel Size', 'Trackbars', 2, 10, on_trackbar_change)
cv2.createTrackbar('Dilate Iterations', 'Trackbars', 3, 10, on_trackbar_change)
cv2.createTrackbar('Erode Iterations', 'Trackbars', 2, 10, on_trackbar_change)
def main():
cap = initialize_capture()
aruco_dict, parameters = load_aruco_detector()
pixel_cm_ratio = 1
create_trackbar_window()
load_presets() # Load presets at the start
while True:
success, img = cap.read()
if not success:
print("Failed to capture image")
break
# Undistort the captured frame
h, w = img.shape[:2]
newCameraMatrix, roi = cv2.getOptimalNewCameraMatrix(cameraMatrix, dist, (w, h), 1, (w, h))
img = cv2.undistort(img, cameraMatrix, dist, None, newCameraMatrix)
# Crop the image
x, y, w, h = roi
img = img[y:y+h, x:x+w]
cThr1 = cv2.getTrackbarPos('Canny Threshold 1', 'Trackbars')
cThr2 = cv2.getTrackbarPos('Canny Threshold 2', 'Trackbars')
brightness = cv2.getTrackbarPos('Brightness', 'Trackbars')
contrast = cv2.getTrackbarPos('Contrast', 'Trackbars')
blur_kernel_size = cv2.getTrackbarPos('Blur Kernel Size', 'Trackbars') | 1 # Ensure odd number
kernel_size = cv2.getTrackbarPos('Morph Kernel Size', 'Trackbars') | 1 # Ensure odd number
dilate_iter = cv2.getTrackbarPos('Dilate Iterations', 'Trackbars')
erode_iter = cv2.getTrackbarPos('Erode Iterations', 'Trackbars')
imgContours2 = process_frame(img, aruco_dict, parameters, pixel_cm_ratio, cThr1, cThr2, brightness, contrast, blur_kernel_size, kernel_size, dilate_iter, erode_iter)
cv2.namedWindow("cont2", cv2.WINDOW_NORMAL)
cv2.imshow('cont2', imgContours2)
key = cv2.waitKey(10)
if key & 0xFF == ord('q'):
break
elif key & 0xFF == ord('s'):
save_presets() # Save presets when 's' is pressed
cap.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
main()