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''' |
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1. Please first extract RGB folder in each video folder in each scene folder and organize as below: |
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|-- RGB_file |
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|-- 1 |
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|-- 1.1 |
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... |
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|-- 1.4 |
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# (end of folder) |
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| |
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|-- 2 |
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|-- 2.1 |
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|-- color (folder) |
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# |
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|-- 2.2 |
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|-- color |
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# |
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|-- 2.3 |
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|-- color |
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# |
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|-- 2.4 |
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|-- color |
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# |
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|-- 2.5 |
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|-- color |
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# |
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... |
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| |
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|-- 11 |
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|-- 11.1 |
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... |
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|-- 11.5 |
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# |
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# |
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and run the code below |
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''' |
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import h5py |
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import numpy as np |
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import io |
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from PIL import Image |
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import os |
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from tqdm import tqdm |
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f = h5py.File("RGB_dataset.hdf5", "w") |
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color_file_path = "RGB_file" |
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color_grp = f.require_group("color") |
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for scene in tqdm(os.listdir(color_file_path)): |
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print(scene) |
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scene_file_path = os.path.join(color_file_path, scene) |
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scene_grp = color_grp.require_group(scene) |
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for video in tqdm(os.listdir(scene_file_path)): |
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if video=="groundtruth": |
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continue |
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video_grp = scene_grp.require_group(video) |
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video_color_path = os.path.join(scene_file_path,video,"color") |
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for image in tqdm(os.listdir(video_color_path)): |
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img_path = os.path.join(video_color_path, image) |
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with open(img_path, 'rb') as img_f: |
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binary_data = img_f.read() |
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binary_data_np = np.asarray(binary_data) |
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dset = video_grp.create_dataset(f'{image[:-4]}', data=binary_data_np) |
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f.close() |
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