""" Visualize GT depth - both reverse and non-reverse versions Must match exactly with visualize_depth.py sample selection """ import os import sys import numpy as np from PIL import Image import matplotlib.pyplot as plt import matplotlib matplotlib.use('Agg') from tqdm import tqdm # Dataset paths - MUST match visualize_depth.py KITTI_BASE = '/home/ywan0794/datasets/eval/moge_style_eval/KITTI' DDAD_BASE = '/home/ywan0794/datasets/eval/moge_style_eval/DDAD/val' OUTPUT_DIR = '/home/ywan0794/MoGe/vis_output' def colorize_depth(depth, cmap='Spectral', reverse=False, mask_invalid=False): depth = depth.copy() if mask_invalid: invalid_mask = depth <= 0 valid_depth = depth[~invalid_mask] if len(valid_depth) > 0: vmin = np.percentile(valid_depth, 2) vmax = np.percentile(valid_depth, 98) else: vmin, vmax = 0, 1 else: vmin = np.percentile(depth, 2) vmax = np.percentile(depth, 98) depth = (depth - vmin) / (vmax - vmin + 1e-8) depth = np.clip(depth, 0, 1) if reverse: depth = 1 - depth cm = plt.get_cmap(cmap) colored = cm(depth)[:, :, :3] colored = (colored * 255).astype(np.uint8) if mask_invalid: colored[invalid_mask] = 0 return colored def load_gt_depth(depth_path): depth = np.array(Image.open(depth_path)) if depth.dtype == np.uint16: depth = depth.astype(np.float32) / 256.0 elif depth.dtype == np.uint8: depth = depth.astype(np.float32) return depth def main(): print("=" * 50, flush=True) print("GT Depth Visualization (both versions)", flush=True) print("=" * 50, flush=True) # Create output directories for dataset in ['KITTI', 'DDAD']: os.makedirs(os.path.join(OUTPUT_DIR, dataset, 'gt'), exist_ok=True) os.makedirs(os.path.join(OUTPUT_DIR, dataset, 'gt_reverse'), exist_ok=True) # ============================================ # KITTI - MUST match visualize_depth.py exactly # ============================================ print("\nCollecting KITTI samples...", flush=True) kitti_samples = [] for drive in os.listdir(KITTI_BASE): drive_path = os.path.join(KITTI_BASE, drive, 'image_02') if os.path.isdir(drive_path): for frame in sorted(os.listdir(drive_path)): sample_dir = os.path.join(drive_path, frame) img_path = os.path.join(sample_dir, 'image.jpg') gt_path = os.path.join(sample_dir, 'depth.png') # MUST check both img and gt exist - same as visualize_depth.py if os.path.exists(img_path) and os.path.exists(gt_path): kitti_samples.append({ 'image': img_path, 'gt': gt_path, 'name': f"{drive}_{frame}" }) # Same random seed and selection as visualize_depth.py np.random.seed(42) num_samples = 10 # Must match --num-samples in visualize_depth.py kitti_selected = np.random.choice(len(kitti_samples), min(num_samples, len(kitti_samples)), replace=False) print(f"Processing {len(kitti_selected)} KITTI GT samples...", flush=True) for idx, i in tqdm(enumerate(kitti_selected), total=len(kitti_selected), desc="KITTI GT", file=sys.stdout): sample = kitti_samples[i] gt_depth = load_gt_depth(sample['gt']) # Non-reverse version gt_colored = colorize_depth(gt_depth, reverse=False, mask_invalid=True) Image.fromarray(gt_colored).save(os.path.join(OUTPUT_DIR, 'KITTI', 'gt', f"{idx:03d}.png")) # Reverse version gt_colored_rev = colorize_depth(gt_depth, reverse=True, mask_invalid=True) Image.fromarray(gt_colored_rev).save(os.path.join(OUTPUT_DIR, 'KITTI', 'gt_reverse', f"{idx:03d}.png")) # ============================================ # DDAD - MUST match visualize_depth.py exactly # ============================================ print("\nCollecting DDAD samples...", flush=True) ddad_samples = [] for scene in sorted(os.listdir(DDAD_BASE)): scene_path = os.path.join(DDAD_BASE, scene) if os.path.isdir(scene_path): for cam in sorted(os.listdir(scene_path)): sample_dir = os.path.join(scene_path, cam) img_path = os.path.join(sample_dir, 'image.jpg') gt_path = os.path.join(sample_dir, 'depth.png') # MUST check both img and gt exist - same as visualize_depth.py if os.path.exists(img_path) and os.path.exists(gt_path): ddad_samples.append({ 'image': img_path, 'gt': gt_path, 'name': f"{scene}_{cam}" }) # Same random seed and selection as visualize_depth.py # Note: seed was already set to 42 above, and kitti_selected consumed some random numbers # We need to match the exact sequence ddad_selected = np.random.choice(len(ddad_samples), min(num_samples, len(ddad_samples)), replace=False) print(f"Processing {len(ddad_selected)} DDAD GT samples...", flush=True) for idx, i in tqdm(enumerate(ddad_selected), total=len(ddad_selected), desc="DDAD GT", file=sys.stdout): sample = ddad_samples[i] gt_depth = load_gt_depth(sample['gt']) # Non-reverse version gt_colored = colorize_depth(gt_depth, reverse=False, mask_invalid=True) Image.fromarray(gt_colored).save(os.path.join(OUTPUT_DIR, 'DDAD', 'gt', f"{idx:03d}.png")) # Reverse version gt_colored_rev = colorize_depth(gt_depth, reverse=True, mask_invalid=True) Image.fromarray(gt_colored_rev).save(os.path.join(OUTPUT_DIR, 'DDAD', 'gt_reverse', f"{idx:03d}.png")) print("\n" + "=" * 50, flush=True) print("Done!", flush=True) print("Output:", flush=True) print(f" {OUTPUT_DIR}/KITTI/gt/ (non-reverse)", flush=True) print(f" {OUTPUT_DIR}/KITTI/gt_reverse/ (reverse)", flush=True) print(f" {OUTPUT_DIR}/DDAD/gt/ (non-reverse)", flush=True) print(f" {OUTPUT_DIR}/DDAD/gt_reverse/ (reverse)", flush=True) print("=" * 50, flush=True) if __name__ == '__main__': main()