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hdf5_to_images.py
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65 lines (53 loc) · 2.18 KB
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import os
import h5py
from PIL import Image
import numpy as np
from pathlib import Path
from dat_formation_utils import *
def main(hdf5_file_path, output_dir):
Path(output_dir).mkdir(parents=True, exist_ok=True)
with h5py.File(hdf5_file_path, "r") as hdf:
for episode_idx, episode_group in enumerate(hdf.values()):
episode_dir = os.path.join(output_dir, f"episode_{episode_idx}")
os.makedirs(episode_dir, exist_ok=True)
start_rgb_image = episode_group["start_rgb_image"][:]
start_pls_image = episode_group["start_pls_image"][:]
start_rgb_image_pil_obj = save_rgb_image(start_rgb_image, None)
start_pls_image_pil_obj = save_pathlength_image(start_pls_image, None)
save_multiple_images_as_row(
[
start_rgb_image_pil_obj,
start_pls_image_pil_obj,
],
os.path.join(episode_dir, "start.png"),
)
# Save trajectory data
rgb_images = episode_group["rgb_images"][:]
pls_images = episode_group["pls_images"][:]
for timestep_idx, (rgb_image, pls_image) in enumerate(
zip(rgb_images, pls_images)
):
cur_rgb_image_pil_obj = save_rgb_image(rgb_image, None)
cur_pls_image_pil_obj = save_pathlength_image(pls_image, None)
save_multiple_images_as_row(
[
cur_rgb_image_pil_obj,
cur_pls_image_pil_obj,
],
os.path.join(episode_dir, f"observation_{timestep_idx:05d}.png"),
)
print(f"Data saved to {output_dir}")
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Extract and save data from HDF5 file")
parser.add_argument(
"--hdf5-file-path", type=str, required=True, help="Path to the HDF5 file"
)
parser.add_argument(
"--output-dir",
type=str,
required=True,
help="Output directory to save the images",
)
args = parser.parse_args()
main(args.hdf5_file_path, args.output_dir)