import cv2 import numpy as np import sys
"""Keys in round_001.npz:
'images': shape=(1215, 3, 448, 736), dtype=uint8
'actions': shape=(1215,), dtype=int64
'states': shape=(1215, 3), dtype=float64
'attention_mask': shape=(1215,), dtype=uint8 """
def view_npz_video(arr, fps=30):
print(f"Displaying array: shape={arr.shape}, dtype={arr.dtype}")
# If shape is (N, 3, H, W), transpose to (N, H, W, 3)
if arr.ndim == 4 and arr.shape[1] == 3:
arr = arr.transpose(0, 2, 3, 1)
for i in range(arr.shape[0]):
frame = arr[i]
if frame.dtype != np.uint8:
frame = cv2.normalize(frame, None, 0, 255, cv2.NORM_MINMAX)
frame = frame.astype(np.uint8)
if frame.ndim == 2:
frame = cv2.cvtColor(frame, cv2.COLOR_GRAY2RGB)
elif frame.shape[2] == 3:
frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
cv2.imshow('Video', frame)
if cv2.waitKey(int(1000/fps)) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()
if name == "main": if len(sys.argv) < 2: print("Usage: python view_npz.py <file.npz> [key] [fps]") sys.exit(1) npz_path = sys.argv[1] key = sys.argv[2] if len(sys.argv) > 2 else None fps = int(sys.argv[3]) if len(sys.argv) > 3 else 30
data = np.load(npz_path, allow_pickle=True)
if key is None:
key = data.files[0]
arr = data[key]
view_npz_video(arr, fps)
#usage : python view_npz.py t3_data/round_001.npz pose_images 30