'''
1. Please first extract RGB folder in each video folder in each scene folder and organize as below:
|-- RGB_file
    |-- 1
        |-- 1.1
        ...
        |-- 1.4
        # (end of folder)
    |
    |-- 2
        |-- 2.1
            |-- color (folder)
            #
        |-- 2.2
            |-- color
            #
        |-- 2.3
            |-- color
            #
        |-- 2.4
            |-- color
            #
        |-- 2.5
            |-- color
            #
    |
    ...
    |
    |-- 11
        |-- 11.1
        ...
        |-- 11.5
        #
    |
    #


and run the code below
'''
import h5py
import numpy as np
import io
from PIL import Image
import os
from tqdm import tqdm

f = h5py.File("RGB_dataset.hdf5", "w")

# saving path: f["color/scene/video/"]
# color path: 
color_file_path = "RGB_file"
color_grp = f.require_group("color")

for scene in tqdm(os.listdir(color_file_path)):
    print(scene)
    scene_file_path = os.path.join(color_file_path, scene)
    scene_grp = color_grp.require_group(scene)
    for video in tqdm(os.listdir(scene_file_path)):
        if video=="groundtruth":
            continue
        video_grp = scene_grp.require_group(video)
        video_color_path = os.path.join(scene_file_path,video,"color")
        for image in tqdm(os.listdir(video_color_path)):
            img_path = os.path.join(video_color_path, image)
            with open(img_path, 'rb') as img_f:
                binary_data = img_f.read()
            binary_data_np = np.asarray(binary_data)
            dset = video_grp.create_dataset(f'{image[:-4]}', data=binary_data_np)
f.close()