53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
import cv2
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import sys
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from util import bbox_extend, bbox_round, image_crop, to_rect, bbox_add_position
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video = cv2.VideoCapture("./data/IMG_1730.MP4")
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# Exit if video not open
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# d.
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if not video.isOpened():
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print("Could not open video")
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sys.exit()
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# Read first frame.
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ok, image = video.read()
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if not ok:
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print('Cannot read video file')
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sys.exit()
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bb_crop = bbox_extend(cv2.selectROI("Image", image, False), 1)
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crop = image_crop(image.copy(), bb_crop)
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bb_template = cv2.selectROI("Image", crop, False)
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template = image_crop(crop, bb_template)
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# Perform template match operations
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res = cv2.matchTemplate(crop, template, cv2.TM_CCOEFF_NORMED)
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(min_val, max_val, min_loc, max_loc) = cv2.minMaxLoc(res)
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matcher_bbox_local = (max_loc[0], max_loc[1], template.shape[1], template.shape[0])
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matcher_top_left_local, matcher_bottom_right_local = to_rect(matcher_bbox_local)
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matcher_bbox_global = bbox_round(bbox_add_position(matcher_bbox_local, bb_crop))
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matcher_top_left_global, matcher_bottom_right_global = to_rect(matcher_bbox_global)
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template_top_left, template_bottom_right = to_rect(bb_template)
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cv2.rectangle(crop, template_top_left, template_bottom_right, (255, 0, 0), 3)
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cv2.rectangle(crop, matcher_top_left_local, matcher_bottom_right_local, (0, 255, 0), 1)
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cv2.rectangle(image, matcher_top_left_global, matcher_bottom_right_global, (0, 0, 255), 1)
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cv2.imshow("Crop", crop)
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cv2.imshow("Image", image)
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cv2.imshow("Matcher", res)
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while True:
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# Exit if ESC pressed
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k = cv2.waitKey(1) & 0xff
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if k == 27:
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break
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