Sorry for the noob question. My problem is that multiscale finds only one of several templates in the image and I need all of them. How can i fix this? I am only beginner, I will be grateful for any help or criticism.
for image in ims:
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
found = None
# loop over the scales of the image
for scale in np.linspace(0.2, 1.0, 20)[::-1]:
resized = imutils.resize(gray, width=int(gray.shape[1] * scale))
r = gray.shape[1] / float(resized.shape[1])
if resized.shape[0] < tH or resized.shape[1] < tW:
break
edged = cv2.Canny(resized, 150, 350)
result = cv2.matchTemplate(edged, template, cv2.TM_CCOEFF)
(_, maxVal, _, maxLoc) = cv2.minMaxLoc(result)
clone = np.dstack([edged, edged, edged])
cv2.rectangle(clone, (maxLoc[0], maxLoc[1]),
(maxLoc[0] + tW, maxLoc[1] + tH), (0, 0, 255), 2)
if found is None or maxVal > found[0]:
found = (maxVal, maxLoc, r)
(_, maxLoc, r) = found
(startX, startY) = (int(maxLoc[0] * r), int(maxLoc[1] * r))
(endX, endY) = (int((maxLoc[0] + tW) * r), int((maxLoc[1] + tH) * r))
if maxVal > 700000:
cv2.rectangle(image, (startX, startY), (endX, endY), (0, 0, 255), 2)
cv2.imshow('img',image)
print('good')
elif maxVal < 700000:
print('bad')
print(maxVal)
cv2.waitKey(0)
cv2.destroyAllWindows()
