result = compiled_model({original_image_key.any_name: input_image,bicubic_image_key.any_name: input_image_bicubic})[output_layer]result = result.squeeze(0).transpose(1, 2, 0)result *= 255result[result < 0] = 0result[result > 255] = 255result = result.astype(np.uint8) cv.imshow("...
def postprocess(data): num_classes = 21 palette = np.array([2 ** 25 - 1, 2 ** 15 - 1, 2 ** 21 - 1]) colors = np.array([palette*i%255 for i in range(num_classes)]).astype(“uint8”) img = Image.fromarray(data.astype(‘uint8’), mode=‘P’) img.putpalette(colors)...
astype(np.uint8)) if isinstance(im, np.ndarray) else im # from np if pprint: LOGGER.info(s.rstrip(', ')) if show: im.show(self.files[i]) # show if save: f = self.files[i] im.save(save_dir / f) # save if i == self.n - 1: LOGGER.info(f"Saved {self...
(image_path) mask_color = (int('38', 16), int('38', 16), int('FF', 16)) binary_mask = np.all(image == mask_color, axis=-1).astype(np.uint8) cv2.imwrite('binary_mask.jpg', binary_mask * 255) from google.colab.patches import cv2_imshow cv2_imshow(binary_mask * 255)and...
以下部分的安排为：1. 热力图的产生 2. 热力图与原始图的叠加 3. 热力图与原始图融合优化 ...
result = compiled_model({original_image_key.any_name: input_image,bicubic_image_key.any_name: input_image_bicubic})[output_layer]result = result.squeeze(0).transpose(1, 2, 0)result *= 255result[result < 0] = 0result[result > 255] = 255result = result.astype(np.uint8) ...
result = compiled_model({original_image_key.any_name: input_image,bicubic_image_key.any_name: input_image_bicubic})[output_layer]result = result.squeeze(0).transpose(1, 2, 0)result *= 255result[result < 0] = 0result[result > 255] = 255result = result.astype(np.uint8) ...
randint(0, 256, (1, 3), dtype=np.uint8) for _ in range(max(labels)) ] for i in inds: i = int(i) color_mask = color_masks[labels[i]] mask = maskUtils.decode(segms[i]).astype(np.bool) img[mask] = img[mask] * 0.5 + color_mask * 0.5 # if out_file specified, do ...
(angle))).TforrincircleRadiuses))# Build a distorted image with that known points on itdistorted_frame=np.zeros((height,width,3),np.uint8)cv2.circle(distorted_frame, (int(cx),int(cy)),fisheyeRadius, (255,255,255),-1)# place pointsfordistorted_pointindistorted_points.astype(int):cv2....