forked from 170010011/fr
				
			
		
			
				
	
	
		
			108 lines
		
	
	
		
			2.8 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
			
		
		
	
	
			108 lines
		
	
	
		
			2.8 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
#!/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()
 |