Refactored
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+32
-20
@@ -57,7 +57,6 @@ class Corner:
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matcher_bbox_local = (matcher_start_x, matcher_start_y, template.shape[1], template.shape[0])
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matcher_bbox_local = (matcher_start_x, matcher_start_y, template.shape[1], template.shape[0])
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cv2.imshow(f"{self.name}: Matcher res", matcher_res)
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cv2.imshow(f"{self.name}: Matcher res", matcher_res)
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# cv2.imshow("{self.name}: Matcher view", matcher_crop)
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return matcher_bbox_local, matcher_res
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return matcher_bbox_local, matcher_res
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@@ -87,6 +86,22 @@ class CornerTracker:
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def _print(self, s):
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def _print(self, s):
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print(f"{self.name}: {s}")
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print(f"{self.name}: {s}")
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def _debug(self, image_anno, matcher_bbox_local):
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matcher_bbox = bbox_round(bbox_add_position(matcher_bbox_local, self.tracking_bb))
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matcher_crop = image_crop(image, matcher_bbox)
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cv2.imshow("{self.name}: Matcher view", matcher_crop)
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matcher_rect = to_rect(matcher_bbox)
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tracker_rect = to_rect(self.tracking_bb)
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template_top_left, template_bottom_right = to_rect(self.matching_tpl_bb)
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matcher_top_left_local, matcher_bottom_right_local = to_rect(bbox_round(matcher_bbox_local))
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cv2.rectangle(self.tracking_img, template_top_left, template_bottom_right, COLOR_TEMPLATE, 1)
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cv2.rectangle(self.tracking_img, 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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def init_reference_frame(self, image: np.array):
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def init_reference_frame(self, image: np.array):
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print(f"Select tracking object")
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print(f"Select tracking object")
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self.tracking_ref_bb = cv2.selectROI("Image", image, False)
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self.tracking_ref_bb = cv2.selectROI("Image", image, False)
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@@ -135,32 +150,28 @@ class CornerTracker:
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corners = []
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corners = []
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for ct in self.corner_list:
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for ct in self.corner_list:
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matcher_bbox_local, matcher = ct.process(self.tracking_img)
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matcher_bbox_local, matcher = ct.process(self.tracking_img)
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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_add_position(matcher_bbox_local, self.tracking_bb)
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matcher_bbox = bbox_round(bbox_add_position(matcher_bbox_local, self.tracking_bb))
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matcher_rect = to_rect(matcher_bbox)
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tracker_rect = to_rect(self.tracking_bb)
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template_top_left, template_bottom_right = to_rect(self.matching_tpl_bb)
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cv2.rectangle(self.tracking_img, template_top_left, template_bottom_right, COLOR_TEMPLATE, 1)
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cv2.rectangle(self.tracking_img, 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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# Draw path
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# Draw path
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line_to = bbox_center(matcher_bbox)
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line_to = bbox_center(matcher_bbox)
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corners.append([line_to])
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corners.append([line_to])
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ct.path_add(line_to)
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for p in ct.path:
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self._debug(image_anno, matcher_bbox_local)
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cv2.line(image_anno, bbox_round(p['from']), bbox_round(p['to']), (0, 0, 255), 2)
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# refine corners
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# refine corners
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corners_refined = self._corner_refine(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY), np.array(corners, dtype=np.float32))
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corners_refined = self._corner_refine(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY), np.array(corners, dtype=np.float32))
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# store refined corners
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for i in range(corners_refined.shape[0]):
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line_to = (corners_refined[i, 0, 0], corners_refined[i, 0, 1])
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ct = self.corner_list[i]
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ct.path_add(line_to)
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# draw path
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for ct in self.corner_list:
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for p in ct.path:
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cv2.line(image_anno, bbox_round(p['from']), bbox_round(p['to']), (0, 0, 255), 1)
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# show refined corners
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# show refined corners
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for i in range(corners_refined.shape[0]):
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for i in range(corners_refined.shape[0]):
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self._print(f" -- Refined Corner [{i}] ({corners_refined[i, 0, 0]}, {corners_refined[i, 0, 1]})")
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self._print(f" -- Refined Corner [{i}] ({corners_refined[i, 0, 0]}, {corners_refined[i, 0, 1]})")
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@@ -181,7 +192,7 @@ class CornerTracker:
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# Write them down
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# Write them down
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for i in range(corners_original.shape[0]):
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for i in range(corners_original.shape[0]):
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self._print(f" -- Original Corner [{i}] ({corners_original[i, 0, 0]}, {corners_original[i, 0, 1]})")
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self._print(f" -- Original Corner [{i}] ({corners_original[i, 0, 0]}, {corners_original[i, 0, 1]})")
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self._print(f" -- Refined Corne r [{i}] ({corners_refined[i, 0, 0]}, {corners_refined[i, 0, 1]})")
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self._print(f" -- Refined Corner [{i}] ({corners_refined[i, 0, 0]}, {corners_refined[i, 0, 1]})")
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return corners_refined
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return corners_refined
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@@ -204,7 +215,8 @@ if __name__ == '__main__':
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if ok:
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if ok:
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ct.process(image)
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ct.process(image)
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else:
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else:
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break
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video.set(cv2.CAP_PROP_POS_FRAMES, 0)
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continue
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# Exit if ESC pressed
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# Exit if ESC pressed
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k = cv2.waitKey(key_wait) & 0xff
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k = cv2.waitKey(key_wait) & 0xff
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