bugfix image scaling h,w are swapped
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@@ -8,8 +8,8 @@ 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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IMG_SCALE_UP = 2
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TEMPLATE_MATCH_OVERLAP = 0
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video = cv2.VideoCapture("./data/IMG_1730.MP4")
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@@ -29,7 +29,7 @@ bb_crop = bbox_extend(cv2.selectROI("Image", image, False), TEMPLATE_MATCH_OVERL
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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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template = image_crop(crop.copy(), 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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@@ -51,11 +51,16 @@ while True:
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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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crop_scaled = im.resize(crop.copy(), IMG_SCALE_UP * crop.shape[1], IMG_SCALE_UP * crop.shape[0])
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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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res = cv2.matchTemplate(cv2.cvtColor(crop_scaled, cv2.COLOR_BGR2GRAY), cv2.cvtColor(template_scaled, cv2.COLOR_BGR2GRAY), cv2.TM_CCOEFF_NORMED)
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(min_val, max_val, min_loc, max_loc) = cv2.minMaxLoc(res)
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print(f"(min_val, max_val, min_loc, max_loc): {(min_val, max_val, min_loc, max_loc)}")
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print(f"matcher_res : {res.shape}")
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print(f"crop : {crop.shape}")
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print(f"crop_scaled : {crop_scaled.shape}")
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print(f"template : {template.shape}")
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print(f"template_scaled : {template_scaled.shape}")
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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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@@ -65,7 +70,7 @@ while True:
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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, template_top_left, template_bottom_right, COLOR_TEMPLATE, 1)
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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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