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