- refactored
- use MOSSE tracker
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+5
-3
@@ -78,7 +78,7 @@ trackers = {
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'BOOSTING': cv2.legacy.TrackerBoosting,
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'BOOSTING': cv2.legacy.TrackerBoosting,
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'MEDIANFLOW': cv2.legacy.TrackerMedianFlow
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'MEDIANFLOW': cv2.legacy.TrackerMedianFlow
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}
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}
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tracker_type = 'KCF'
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tracker_type = 'MOSSE'
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tracker = trackers[tracker_type].create()
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tracker = trackers[tracker_type].create()
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video = cv2.VideoCapture("./data/production_id 4525346 (1080p).mp4")
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video = cv2.VideoCapture("./data/production_id 4525346 (1080p).mp4")
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@@ -120,17 +120,19 @@ while True:
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image_template_rotated = image_template
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image_template_rotated = image_template
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if ok:
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if ok:
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current_angle, best_maxLoc = match(image_bbox, image_template, current_angle)
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current_angle, max_loc = match(image_bbox, image_template, current_angle)
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image_template_rotated = im.rotate(image_template, current_angle)
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image_template_rotated = im.rotate(image_template, current_angle)
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# determine the starting and ending (x, y)-coordinates of the
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# determine the starting and ending (x, y)-coordinates of the
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# bounding box
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# bounding box
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(startX, startY) = best_maxLoc
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(startX, startY) = max_loc
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startX += bbox[0]
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startX += bbox[0]
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startY += bbox[1]
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startY += bbox[1]
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endX = startX + bbox[2]
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endX = startX + bbox[2]
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endY = startY + bbox[3]
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endY = startY + bbox[3]
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print(f"startX: {startX}, startY: {startY}")
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# draw the bounding box on the image
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# draw the bounding box on the image
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p1 = (int(bbox[0]), int(bbox[1]))
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p1 = (int(bbox[0]), int(bbox[1]))
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p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
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p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
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