# cable dete
detect_with = 0
detect_without = 0
not_detect_with = 0
not_detect_without = 0
detector_samples = 0
for j in range(0, len(ordered_files)):
cont_samples += 1
print images_path + ordered_files[j]
src = cv2.imread(images_path + ordered_files[j])
normalized = cv2.imread(normalized_path + ordered_files[j])
mat = src.copy()
gradient, without_close, test = ipp.preprocess(mat)
img_bounded, all_features, key, rgb_bounded, roi, flood, cols_intermedi_img, without_cable = detector_features.extractor(
mat, without_close, gradient, cont_samples, normalized)
# Segregation Mode
if segregation:
# Used to show images provided by the detector_features.extractor method
# cv2.namedWindow('Depth', cv2.WINDOW_NORMAL)
# When there is nothing to detect the method returns a roi equal None
# if roi == None:
# img_bounded = cv2.cvtColor(img_bounded, cv2.COLOR_BGR2GRAY)
# rgb_bounded = img_bounded
clamp_extent = []
clamp_perimeter = []
clamp_eccentricity = []
clamp_label = []
cont_samples = 0
for j in range(0, len(clamp_ordered_files)):
cont_samples += 1
print clamp_folder + clamp_ordered_files[j]
src = cv2.imread(clamp_folder + clamp_ordered_files[j])
mat = src.copy()
gradient = ipp.preprocess(mat)
img_bounded, all_features, key = features.extractor(
gradient, mat, cont_samples)
if key == 27:
cv2.destroyAllWindows()
break
clamp_sample.append(cont_samples)
clamp_aspect_ratio.append(all_features[0])
clamp_contour_area.append(all_features[1])
clamp_solidity.append(all_features[2])
clamp_extent.append(all_features[3])
clamp_perimeter.append(all_features[4])
clamp_eccentricity.append(all_features[5])
clamp_extent = []
clamp_perimeter = []
clamp_eccentricity = []
clamp_label = []
cont_samples = 0
for j in range(0, len(clamp_ordered_files)):
cont_samples += 1
print clamp_folder + clamp_ordered_files[j]
src = cv2.imread(clamp_folder + clamp_ordered_files[j])
mat = src.copy()
gradient = ipp.preprocess(mat)
img_bounded, all_features, key = features.extractor(
gradient, mat, cont_samples)
if key == 27:
cv2.destroyAllWindows()
break
clamp_sample.append(cont_samples)
clamp_aspect_ratio.append(all_features[0])
clamp_contour_area.append(all_features[1])
clamp_solidity.append(all_features[2])
clamp_extent.append(all_features[3])
clamp_perimeter.append(all_features[4])
clamp_eccentricity.append(all_features[5])