90 lines
2.5 KiB
Python
90 lines
2.5 KiB
Python
import cv2
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import sys
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import imutils as im
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from util import bbox_extend, bbox_round, image_crop, to_rect, bbox_add_position
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COLOR_TRACKER = (0, 255, 0)
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COLOR_TRACKER_EXT = (0, 255, 255)
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COLOR_MATCHER = (0, 0, 255)
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COLOR_TEMPLATE = (255, 0, 0)
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IMG_SCALE_UP = 1
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TEMPLATE_MATCH_OVERLAP = 1
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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), TEMPLATE_MATCH_OVERLAP)
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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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# Initialize tracker with first frame and bounding box
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tracker = cv2.TrackerKCF().create()
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tracker.init(image, bb_crop)
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while True:
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# Read a new frame
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ok, image = video.read()
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if not ok:
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break
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# Start timer
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timer = cv2.getTickCount()
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# Update tracker
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ok, bb_crop = tracker.update(image)
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crop = image_crop(image.copy(), bb_crop)
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image_anno = image.copy()
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if ok:
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# Perform template match operations
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crop_scaled = im.resize(crop, IMG_SCALE_UP * crop.shape[0], IMG_SCALE_UP * crop.shape[1])
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template_scaled = im.resize(template, IMG_SCALE_UP * template.shape[0], IMG_SCALE_UP * template.shape[1])
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res = cv2.matchTemplate(crop_scaled, template_scaled, 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]/IMG_SCALE_UP, max_loc[1]/IMG_SCALE_UP, template.shape[1], template.shape[0])
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matcher_top_left_local, matcher_bottom_right_local = to_rect(bbox_round(matcher_bbox_local))
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matcher_bbox = bbox_round(bbox_add_position(matcher_bbox_local, bb_crop))
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matcher_rect = to_rect(matcher_bbox)
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tracker_rect = to_rect(bb_crop)
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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, COLOR_TEMPLATE, 3)
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cv2.rectangle(crop, matcher_top_left_local, matcher_bottom_right_local, COLOR_MATCHER, 1)
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cv2.rectangle(image_anno, matcher_rect[0], matcher_rect[1], COLOR_MATCHER, 1)
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cv2.rectangle(image_anno, tracker_rect[0], tracker_rect[1], COLOR_TRACKER, 1)
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matcher_crop = image_crop(image, matcher_bbox)
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cv2.imshow("Crop", crop)
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cv2.imshow("Image", image_anno)
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cv2.imshow("Matcher res", res)
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cv2.imshow("Matcher view", matcher_crop)
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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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if k == 32:
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break
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if k == 27:
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break
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