- refactored into utils.py

- added ocv_template_matching.py for evaluationof template matcher
- fixed template matching from tracker bounding box

ocv_template_matching.py

@@ -0,0 +1,49 @@
+import cv2
+import sys
+import imutils as im
+
+from template_matcher import template_match_rotation
+from util import bbox_extend, bbox_round, process_image_bbox, image_crop
+
+
+video = cv2.VideoCapture("./data/IMG_1730.MP4")
+
+# Exit if video not open
+# d.
+if not video.isOpened():
+	print("Could not open video")
+	sys.exit()
+
+# Read first frame.
+ok, image = video.read()
+if not ok:
+	print('Cannot read video file')
+	sys.exit()
+
+bbox_template = cv2.selectROI("Image", image, False)
+template = image_crop(image, bbox_extend(bbox_template, 0.5))
+cv2.imshow("Template", template)
+
+# Perform template match operations
+res = cv2.matchTemplate(image, template, cv2.TM_CCOEFF_NORMED)
+(min_val, max_val, min_loc, max_loc) = cv2.minMaxLoc(res)
+
+h, w = (template.shape[0], template.shape[1])
+
+print(f"(w, h): {(w, h)}, max_loc: {max_loc}")
+
+top_left = max_loc
+bottom_right = (top_left[0] + w, top_left[1] + h)
+
+cv2.rectangle(image, top_left, bottom_right, (0, 255, 0), 2)
+cv2.rectangle(image, (bbox_template[0], bbox_template[1]), (bbox_template[0] + bbox_template[2], bbox_template[1] + bbox_template[3]), (0, 0, 255), 2)
+
+
+cv2.imshow("Image", image)
+cv2.imshow("Matcher", res)
+
+while True:
+	# Exit if ESC pressed
+	k = cv2.waitKey(1) & 0xff
+	if k == 27:
+		break