ConstructTraining / scripts /tools /test /test_mp4_to_hdf5.py
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# Copyright (c) 2024-2026, The Isaac Lab Project Developers (https://github.com/isaac-sim/IsaacLab/blob/main/CONTRIBUTORS.md).
# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
"""Test cases for MP4 to HDF5 conversion script."""
import os
import tempfile
import cv2
import h5py
import numpy as np
import pytest
from scripts.tools.mp4_to_hdf5 import get_frames_from_mp4, main, process_video_and_demo
@pytest.fixture(scope="class")
def temp_hdf5_file():
"""Create temporary HDF5 file with test data."""
temp_file = tempfile.NamedTemporaryFile(suffix=".h5", delete=False) # noqa: SIM115
with h5py.File(temp_file.name, "w") as h5f:
# Create test data structure for 2 demos
for demo_id in range(2):
demo_group = h5f.create_group(f"data/demo_{demo_id}")
obs_group = demo_group.create_group("obs")
# Create actions data
actions_data = np.random.rand(10, 7).astype(np.float32)
demo_group.create_dataset("actions", data=actions_data)
# Create robot state data
eef_pos_data = np.random.rand(10, 3).astype(np.float32)
eef_quat_data = np.random.rand(10, 4).astype(np.float32)
gripper_pos_data = np.random.rand(10, 1).astype(np.float32)
obs_group.create_dataset("eef_pos", data=eef_pos_data)
obs_group.create_dataset("eef_quat", data=eef_quat_data)
obs_group.create_dataset("gripper_pos", data=gripper_pos_data)
# Create camera data
table_cam_data = np.random.randint(0, 255, (10, 704, 1280, 3), dtype=np.uint8)
wrist_cam_data = np.random.randint(0, 255, (10, 704, 1280, 3), dtype=np.uint8)
obs_group.create_dataset("table_cam", data=table_cam_data)
obs_group.create_dataset("wrist_cam", data=wrist_cam_data)
# Set attributes
demo_group.attrs["num_samples"] = 10
yield temp_file.name
# Cleanup
os.remove(temp_file.name)
@pytest.fixture(scope="class")
def temp_videos_dir():
"""Create temporary MP4 files."""
temp_dir = tempfile.mkdtemp() # noqa: SIM115
video_paths = []
for demo_id in range(2):
video_path = os.path.join(temp_dir, f"demo_{demo_id}_table_cam.mp4")
video_paths.append(video_path)
# Create a test video
fourcc = cv2.VideoWriter_fourcc(*"mp4v")
video = cv2.VideoWriter(video_path, fourcc, 30, (1280, 704))
# Write some random frames
for _ in range(10):
frame = np.random.randint(0, 255, (704, 1280, 3), dtype=np.uint8)
video.write(frame)
video.release()
yield temp_dir, video_paths
# Cleanup
for video_path in video_paths:
os.remove(video_path)
os.rmdir(temp_dir)
@pytest.fixture
def temp_output_file():
"""Create temporary output file."""
temp_file = tempfile.NamedTemporaryFile(suffix=".h5", delete=False) # noqa: SIM115
yield temp_file.name
# Cleanup
os.remove(temp_file.name)
class TestMP4ToHDF5:
"""Test cases for MP4 to HDF5 conversion functionality."""
def test_get_frames_from_mp4(self, temp_videos_dir):
"""Test extracting frames from MP4 video."""
_, video_paths = temp_videos_dir
frames = get_frames_from_mp4(video_paths[0])
# Check frame properties
assert frames.shape[0] == 10 # Number of frames
assert frames.shape[1:] == (704, 1280, 3) # Frame dimensions
assert frames.dtype == np.uint8 # Data type
def test_get_frames_from_mp4_resize(self, temp_videos_dir):
"""Test extracting frames with resizing."""
_, video_paths = temp_videos_dir
target_height, target_width = 352, 640
frames = get_frames_from_mp4(video_paths[0], target_height, target_width)
# Check resized frame properties
assert frames.shape[0] == 10 # Number of frames
assert frames.shape[1:] == (target_height, target_width, 3) # Resized dimensions
assert frames.dtype == np.uint8 # Data type
def test_process_video_and_demo(self, temp_hdf5_file, temp_videos_dir, temp_output_file):
"""Test processing a single video and creating a new demo."""
_, video_paths = temp_videos_dir
with h5py.File(temp_hdf5_file, "r") as f_in, h5py.File(temp_output_file, "w") as f_out:
process_video_and_demo(f_in, f_out, video_paths[0], 0, 2)
# Check if new demo was created with correct data
assert "data/demo_2" in f_out
assert "data/demo_2/actions" in f_out
assert "data/demo_2/obs/eef_pos" in f_out
assert "data/demo_2/obs/eef_quat" in f_out
assert "data/demo_2/obs/gripper_pos" in f_out
assert "data/demo_2/obs/table_cam" in f_out
assert "data/demo_2/obs/wrist_cam" in f_out
# Check data shapes
assert f_out["data/demo_2/actions"].shape == (10, 7)
assert f_out["data/demo_2/obs/eef_pos"].shape == (10, 3)
assert f_out["data/demo_2/obs/eef_quat"].shape == (10, 4)
assert f_out["data/demo_2/obs/gripper_pos"].shape == (10, 1)
assert f_out["data/demo_2/obs/table_cam"].shape == (10, 704, 1280, 3)
assert f_out["data/demo_2/obs/wrist_cam"].shape == (10, 704, 1280, 3)
# Check attributes
assert f_out["data/demo_2"].attrs["num_samples"] == 10
def test_main_function(self, temp_hdf5_file, temp_videos_dir, temp_output_file):
"""Test the main function."""
# Mock command line arguments
import sys
original_argv = sys.argv
sys.argv = [
"mp4_to_hdf5.py",
"--input_file",
temp_hdf5_file,
"--videos_dir",
temp_videos_dir[0],
"--output_file",
temp_output_file,
]
try:
main()
# Check if output file was created with correct data
with h5py.File(temp_output_file, "r") as f:
# Check if original demos were copied
assert "data/demo_0" in f
assert "data/demo_1" in f
# Check if new demos were created
assert "data/demo_2" in f
assert "data/demo_3" in f
# Check data in new demos
for demo_id in [2, 3]:
assert f"data/demo_{demo_id}/actions" in f
assert f"data/demo_{demo_id}/obs/eef_pos" in f
assert f"data/demo_{demo_id}/obs/eef_quat" in f
assert f"data/demo_{demo_id}/obs/gripper_pos" in f
assert f"data/demo_{demo_id}/obs/table_cam" in f
assert f"data/demo_{demo_id}/obs/wrist_cam" in f
finally:
# Restore original argv
sys.argv = original_argv