Sort by image histogram dissimilarity
logger.info("Sorting by histogram dissimilarity...")
filename_list, image_list = self._get_images()
scores = np.zeros(len(filename_list), dtype="float32")
distance = cv2.HISTCMP_BHATTACHARYYA
logger.info("Calculating histograms...")
histograms = [cv2.calcHist([img], [0], None, [256], [0, 256]) for img in image_list]
img_list = list(list(items) for items in zip(filename_list, histograms, scores))
logger.info("Comparing histograms...")
img_list_len = len(img_list)
After Change
// TODO We have metadata here, so we can mask the face for hist sorting
img_list = [[filename, cv2.calcHist([image], [0], None, [256], [0, 256]), 0.0]
for filename, image, _ in tqdm(self._loader.load(),
desc="Calculating histograms",
total=self._loader.count,
leave=False)]
