""" Simple DROID Episode Visualizer Just loads and displays DROID episodes to verify data format. No tracking, no projection - pure visualization. """ import sys import numpy as np import tensorflow_datasets as tfds from pathlib import Path import argparse import cv2 from tqdm import tqdm def visualize_episode(droid_path: str, episode_index: int = 0, output_dir: str = '/tmp/droid_viz'): """ Load and visualize a DROID episode. Args: droid_path: Path to DROID RLDS dataset episode_index: Which episode to visualize output_dir: Output directory for videos """ print(f"Loading episode {episode_index} from {droid_path}...") # Load DROID builder = tfds.builder_from_directory(droid_path) dataset = builder.as_dataset(split='train') # Create output directory output_path = Path(output_dir) output_path.mkdir(parents=True, exist_ok=True) # Find episode for idx, episode in enumerate(dataset): if idx != episode_index: continue print(f"✓ Found episode {episode_index}") # Extract steps steps = list(episode['steps']) print(f" Total steps: {len(steps)}") # Get metadata try: recording_path = episode['episode_metadata']['recording_folderpath'].numpy().decode('utf-8') print(f" Recording: {recording_path}") except: recording_path = "unknown" try: language = steps[0]['language_instruction'].numpy().decode('utf-8') print(f" Task: {language}") except: language = "No instruction" # Save info with open(output_path / 'episode_info.txt', 'w') as f: f.write(f"Episode: {episode_index}\n") f.write(f"Steps: {len(steps)}\n") f.write(f"Recording: {recording_path}\n") f.write(f"Task: {language}\n") # Process frames valid_frames_ext = [] valid_frames_wrist = [] print("\nProcessing frames...") for step_idx, step in enumerate(tqdm(steps)): # Try to decode images try: # Exterior camera img_ext_bytes = step['observation']['exterior_image_1_left'].numpy() img_ext = cv2.imdecode(np.frombuffer(img_ext_bytes, dtype=np.uint8), cv2.IMREAD_COLOR) # Wrist camera img_wrist_bytes = step['observation']['wrist_image_left'].numpy() img_wrist = cv2.imdecode(np.frombuffer(img_wrist_bytes, dtype=np.uint8), cv2.IMREAD_COLOR) if img_ext is not None and img_wrist is not None: # Resize for consistency img_ext = cv2.resize(img_ext, (448, 448)) img_wrist = cv2.resize(img_wrist, (448, 448)) # Add info text cv2.putText(img_ext, f"Frame {step_idx}/{len(steps)}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255, 255, 255), 2) cv2.putText(img_wrist, f"Frame {step_idx}/{len(steps)}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255, 255, 255), 2) valid_frames_ext.append(img_ext) valid_frames_wrist.append(img_wrist) else: if step_idx == 0: print(f" ⚠ Frame {step_idx}: decode returned None") except Exception as e: if step_idx == 0: print(f" ⚠ Frame {step_idx}: decode failed - {e}") print(f"\n✓ Successfully decoded {len(valid_frames_ext)} frames out of {len(steps)}") if len(valid_frames_ext) == 0: print("✗ No valid frames found. This episode may be corrupted.") print(" Try a different episode with --episode-index N") return False # Save videos fourcc = cv2.VideoWriter_fourcc(*'mp4v') video_ext = cv2.VideoWriter( str(output_path / 'exterior_camera.mp4'), fourcc, 10, (448, 448) ) video_wrist = cv2.VideoWriter( str(output_path / 'wrist_camera.mp4'), fourcc, 10, (448, 448) ) for frame_ext, frame_wrist in zip(valid_frames_ext, valid_frames_wrist): video_ext.write(frame_ext) video_wrist.write(frame_wrist) video_ext.release() video_wrist.release() # Save first frame as image cv2.imwrite(str(output_path / 'frame_0_exterior.png'), valid_frames_ext[0]) cv2.imwrite(str(output_path / 'frame_0_wrist.png'), valid_frames_wrist[0]) print(f"\n✓ Saved videos to {output_path}:") print(f" exterior_camera.mp4") print(f" wrist_camera.mp4") print(f" frame_0_exterior.png") print(f" frame_0_wrist.png") # Print joint info try: joints = steps[0]['observation']['joint_position'].numpy() print(f"\n✓ Joint positions (first frame): {joints}") cart_pos = steps[0]['observation']['cartesian_position'].numpy() print(f"✓ Cartesian position (first frame): {cart_pos}") except Exception as e: print(f"⚠ Could not read robot state: {e}") return True print(f"✗ Episode {episode_index} not found in dataset") return False def main(): parser = argparse.ArgumentParser(description="Visualize DROID episode") parser.add_argument( '--droid-path', type=str, default='/mnt/kevin/data/droid/droid/1.0.0', help='Path to DROID RLDS dataset' ) parser.add_argument( '--episode-index', type=int, default=0, help='Episode index to visualize (try different indices if one fails)' ) parser.add_argument( '--output-dir', type=str, default='/tmp/droid_viz', help='Output directory' ) args = parser.parse_args() print("=" * 60) print("DROID Episode Visualizer") print("=" * 60 + "\n") success = visualize_episode(args.droid_path, args.episode_index, args.output_dir) if not success: print("\nTry a different episode:") print(" python visualize_droid_episode.py --episode-index 1") print(" python visualize_droid_episode.py --episode-index 10") print(" python visualize_droid_episode.py --episode-index 100") return 1 print("\n" + "=" * 60) print("Visualization Complete!") print("=" * 60) return 0 if __name__ == "__main__": sys.exit(main())