jens/ocv_template_matching
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- show refined corners as circles

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- removed redundant code
This commit is contained in:
jens
2024-07-03 22:14:26 +02:00
parent 19d5aedf22
commit a7b35c7a18
1 changed files with 17 additions and 69 deletions
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ocv_template_matching.py
+9 -61
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@@ -21,6 +21,8 @@ def refine_corner(src_gray, corners_original: np.array):
print(" -- Original Corner [", i, "] (", corners_original[i, 0, 0], ",", corners_original[i, 0, 1], ")")
print(" -- Refined Corner [", i, "] (", corners_refined[i, 0, 0], ",", corners_refined[i, 0, 1], ")")
return corners_refined
COLOR_TRACKER = (0, 255, 0)
COLOR_TRACKER_EXT = (0, 255, 255)
@@ -70,13 +72,6 @@ print(f"Added {count} corners")
tracker = cv2.TrackerKCF().create()
tracker.init(image, bb_crop)
path = []
line_from = None
is_startup = True
offset_x = 0
offset_y = 1
mode = True
while True:
# Read a new frame
ok, image = video.read()
@@ -90,11 +85,10 @@ while True:
ok, bb_crop = tracker.update(image)
crop = image_crop(image.copy(), bb_crop)
crop = cv2.cvtColor(crop, cv2.COLOR_BGR2GRAY)
crop = cv2.GaussianBlur(crop, (15, 15), 0)
crop = cv2.GaussianBlur(crop, (9, 9), 0)
image_anno = image.copy()
if ok:
if mode:
corners = []
for ct in ct_list:
matcher_bbox_local, matcher = ct.process(crop)
@@ -121,59 +115,13 @@ while True:
for p in ct.path:
cv2.line(image_anno, bbox_round(p['from']), bbox_round(p['to']), (0, 0, 255), 2)
refine_corner(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY), np.array(corners, dtype=np.float32))
# refine corners
corners_refined = refine_corner(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY), np.array(corners, dtype=np.float32))
else:
# Perform template match operations
crop_scaled = im.resize(crop.copy(), IMG_SCALE_UP * crop.shape[1], IMG_SCALE_UP * crop.shape[0])
template_scaled = im.resize(template, IMG_SCALE_UP * template.shape[0], IMG_SCALE_UP * template.shape[1])
matcher_res = cv2.matchTemplate(crop_scaled, template_scaled, cv2.TM_CCOEFF_NORMED)
(min_val, max_val, min_loc, max_loc) = cv2.minMaxLoc(matcher_res)
print(f"(min_val, max_val, min_loc, max_loc): {(min_val, max_val, min_loc, max_loc)}")
print(f"matcher_res : {matcher_res.shape}")
print(f"crop : {crop.shape}")
print(f"crop_scaled : {crop_scaled.shape}")
print(f"template : {template.shape}")
print(f"template_scaled : {template_scaled.shape}")
matcher_start_x = max_loc[0]/IMG_SCALE_UP
matcher_start_y = max_loc[1]/IMG_SCALE_UP
if is_startup:
is_startup = False
offset_x = matcher_start_x - bb_template[0]
offset_y = matcher_start_y - bb_template[1]
print(f"offset : {(offset_x, offset_y)}")
matcher_start_x -= offset_x
matcher_start_y -= offset_y
print(f"matcher_start : {(matcher_start_x, matcher_start_y)}")
matcher_bbox_local = (round(matcher_start_x), round(matcher_start_y), template.shape[1], template.shape[0])
matcher_top_left_local, matcher_bottom_right_local = to_rect(bbox_round(matcher_bbox_local))
matcher_bbox = bbox_round(bbox_add_position(matcher_bbox_local, bb_crop))
matcher_rect = to_rect(matcher_bbox)
tracker_rect = to_rect(bb_crop)
template_top_left, template_bottom_right = to_rect(bb_template)
cv2.rectangle(crop, template_top_left, template_bottom_right, COLOR_TEMPLATE, 1)
cv2.rectangle(crop, matcher_top_left_local, matcher_bottom_right_local, COLOR_MATCHER, 1)
cv2.rectangle(image_anno, matcher_rect[0], matcher_rect[1], COLOR_MATCHER, 1)
cv2.rectangle(image_anno, tracker_rect[0], tracker_rect[1], COLOR_TRACKER, 1)
matcher_crop = image_crop(image, matcher_bbox)
# Draw path
line_to = bbox_center(matcher_bbox)
if line_from is not None:
path.append({'from': line_from, 'to': line_to})
line_from = line_to
for p in path:
cv2.line(image_anno, p['from'], p['to'], (0, 0, 255), 2)
cv2.imshow("Matcher res", matcher_res)
cv2.imshow("Matcher view", matcher_crop)
# show refined corners
for i in range(corners_refined.shape[0]):
print(" -- Refined Corner [", i, "] (", corners_refined[i, 0, 0], ",", corners_refined[i, 0, 1], ")")
cv2.circle(image_anno, (int(corners_refined[i, 0, 0]), int(corners_refined[i, 0, 1])), 4, (0, 255, 0))
cv2.imshow("Crop", crop)
cv2.imshow("Image", image_anno)