INNER CODE UNIT · Python

depth_image

wenhaochai/StableVideo · annotator/midas/__init__.py:26

            depth_image = (depth_pt * 255.0).clip(0, 255).astype(np.uint8)

            depth_np = depth.cpu().numpy()
            x = cv2.Sobel(depth_np, cv2.CV_32F, 1, 0, ksize=3)
            y = cv2.Sobel(depth_np, cv2.CV_32F, 0, 1, ksize=3)
            z = np.ones_like(x) * a
            x[depth_pt < bg_th] = 0
            y[depth_pt < bg_th] = 0
            normal = np.stack([x, y, z], axis=2)
            normal /= np.sum(normal ** 2.0, axis=2, keepdims=True) ** 0.5
            normal_image = (normal * 127.5 + 127.5).clip(0, 255).astype(np.uint8)

            return depth_image, normal_image

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