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| """Test cases for MP4 to HDF5 conversion script.""" |
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|
| import os |
| import tempfile |
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| 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 |
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|
| @pytest.fixture(scope="class") |
| def temp_hdf5_file(): |
| """Create temporary HDF5 file with test data.""" |
| temp_file = tempfile.NamedTemporaryFile(suffix=".h5", delete=False) |
| with h5py.File(temp_file.name, "w") as h5f: |
| |
| for demo_id in range(2): |
| demo_group = h5f.create_group(f"data/demo_{demo_id}") |
| obs_group = demo_group.create_group("obs") |
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| |
| actions_data = np.random.rand(10, 7).astype(np.float32) |
| demo_group.create_dataset("actions", data=actions_data) |
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| |
| 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) |
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| |
| 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) |
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| |
| demo_group.attrs["num_samples"] = 10 |
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|
| yield temp_file.name |
| |
| os.remove(temp_file.name) |
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|
| @pytest.fixture(scope="class") |
| def temp_videos_dir(): |
| """Create temporary MP4 files.""" |
| temp_dir = tempfile.mkdtemp() |
| 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) |
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| |
| fourcc = cv2.VideoWriter_fourcc(*"mp4v") |
| video = cv2.VideoWriter(video_path, fourcc, 30, (1280, 704)) |
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|
| |
| 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 |
|
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| |
| for video_path in video_paths: |
| os.remove(video_path) |
| os.rmdir(temp_dir) |
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|
|
| @pytest.fixture |
| def temp_output_file(): |
| """Create temporary output file.""" |
| temp_file = tempfile.NamedTemporaryFile(suffix=".h5", delete=False) |
| yield temp_file.name |
| |
| os.remove(temp_file.name) |
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|
|
| 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]) |
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| |
| assert frames.shape[0] == 10 |
| assert frames.shape[1:] == (704, 1280, 3) |
| assert frames.dtype == np.uint8 |
|
|
| 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) |
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| |
| assert frames.shape[0] == 10 |
| assert frames.shape[1:] == (target_height, target_width, 3) |
| assert frames.dtype == np.uint8 |
|
|
| 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) |
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| |
| 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 |
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|
| |
| 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) |
|
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| |
| 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.""" |
| |
| 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() |
|
|
| |
| with h5py.File(temp_output_file, "r") as f: |
| |
| assert "data/demo_0" in f |
| assert "data/demo_1" in f |
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|
| |
| assert "data/demo_2" in f |
| assert "data/demo_3" in f |
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|
| |
| 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: |
| |
| sys.argv = original_argv |
|
|