2bcb7d572ac8fdacceb56d5cbd5b05fad8c71e5e,tools/sort/sort.py,Sort,sort_hist_dissim,#Sort#,295

Before Change

    def sort_hist_dissim(self):
         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)
        for i in tqdm(range(0, img_list_len), desc="Comparing", file=sys.stdout):

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)]

        img_list_len = len(img_list)
        for i in tqdm(range(0, img_list_len), desc="Comparing histograms", file=sys.stdout):

Instances