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| | """Test cases for MP4 to HDF5 conversion script.""" |
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|
| | 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 |
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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") |
| |
|
| | |
| | actions_data = np.random.rand(10, 7).astype(np.float32) |
| | demo_group.create_dataset("actions", data=actions_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) |
| |
|
| | |
| | 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) |
| |
|
| | |
| | demo_group.attrs["num_samples"] = 10 |
| |
|
| | yield temp_file.name |
| | |
| | os.remove(temp_file.name) |
| |
|
| |
|
| | @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) |
| |
|
| | |
| | fourcc = cv2.VideoWriter_fourcc(*"mp4v") |
| | video = cv2.VideoWriter(video_path, fourcc, 30, (1280, 704)) |
| |
|
| | |
| | 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 |
| |
|
| | |
| | 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) |
| | yield temp_file.name |
| | |
| | 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]) |
| |
|
| | |
| | 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) |
| |
|
| | |
| | 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) |
| |
|
| | |
| | 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 |
| |
|
| | |
| | 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) |
| |
|
| | |
| | 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 |
| |
|
| | |
| | assert "data/demo_2" in f |
| | assert "data/demo_3" in f |
| |
|
| | |
| | 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 |
| |
|