#!/home/adi/Documents/sem8/nndl_proj/fr_env/bin/python3 # -*- coding: utf-8 -*- # USAGE: You need to specify a filter and "only one" image source # # (python) range-detector --filter RGB --image /path/to/image.png # or # (python) range-detector --filter HSV --webcam import cv2 import argparse from operator import xor def callback(value): pass def setup_trackbars(range_filter): cv2.namedWindow("Trackbars", 0) for i in ["MIN", "MAX"]: v = 0 if i == "MIN" else 255 for j in range_filter: cv2.createTrackbar("%s_%s" % (j, i), "Trackbars", v, 255, callback) def get_arguments(): ap = argparse.ArgumentParser() ap.add_argument('-f', '--filter', required=True, help='Range filter. RGB or HSV') ap.add_argument('-i', '--image', required=False, help='Path to the image') ap.add_argument('-w', '--webcam', required=False, help='Use webcam', action='store_true') ap.add_argument('-p', '--preview', required=False, help='Show a preview of the image after applying the mask', action='store_true') args = vars(ap.parse_args()) if not xor(bool(args['image']), bool(args['webcam'])): ap.error("Please specify only one image source") if not args['filter'].upper() in ['RGB', 'HSV']: ap.error("Please speciy a correct filter.") return args def get_trackbar_values(range_filter): values = [] for i in ["MIN", "MAX"]: for j in range_filter: v = cv2.getTrackbarPos("%s_%s" % (j, i), "Trackbars") values.append(v) return values def main(): args = get_arguments() range_filter = args['filter'].upper() if args['image']: image = cv2.imread(args['image']) if range_filter == 'RGB': frame_to_thresh = image.copy() else: frame_to_thresh = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) else: camera = cv2.VideoCapture(0) setup_trackbars(range_filter) while True: if args['webcam']: ret, image = camera.read() if not ret: break if range_filter == 'RGB': frame_to_thresh = image.copy() else: frame_to_thresh = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) v1_min, v2_min, v3_min, v1_max, v2_max, v3_max = get_trackbar_values(range_filter) thresh = cv2.inRange(frame_to_thresh, (v1_min, v2_min, v3_min), (v1_max, v2_max, v3_max)) if args['preview']: preview = cv2.bitwise_and(image, image, mask=thresh) cv2.imshow("Preview", preview) else: cv2.imshow("Original", image) cv2.imshow("Thresh", thresh) if cv2.waitKey(1) & 0xFF is ord('q'): break if __name__ == '__main__': main()