File size: 2,784 Bytes
7ab05dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | import os
import json
import argparse
def get_splits_paths(dataset_path):
# Get the names of all subfolders in the given folder
im_path = os.path.join(dataset_path, "images")
pc_path = dataset_path
splits = ["train", "val"]
split_path = os.path.join(dataset_path, "splits")
os.makedirs(split_path, exist_ok=True)
for split in splits:
im_split_path = os.path.join(im_path, split)
pc_split_path = os.path.join(pc_path, split).replace(
dataset_path, "data/structured3d"
)
split_names = [f.name for f in os.scandir(im_split_path) if f.is_dir()]
split_dict = {}
for name in split_names:
cam_split_name_path = os.path.join(im_split_path, name)
cam_names = [f.name for f in os.scandir(cam_split_name_path) if f.is_dir()]
for cam_name in cam_names:
im_split_name_path = os.path.join(
cam_split_name_path, cam_name, "color", "prsp"
)
co_split_name_path = os.path.join(
cam_split_name_path,
cam_name,
"correspondence",
"prsp_correspondence",
)
png_files = [
f for f in os.listdir(im_split_name_path) if f.endswith(".png")
]
png_files = sorted(png_files, key=lambda x: int(x.split(".")[0]))
# Get the full paths of the .png files
png_file_paths = [
os.path.join(im_split_name_path, f).replace(
dataset_path, "data/structured3d"
)
for f in png_files
]
co_file_paths = [
os.path.join(co_split_name_path, f.replace(".png", ".npy")).replace(
dataset_path, "data/structured3d"
)
for f in png_files
]
split_dict[f"{name}_{cam_name}"] = {}
split_dict[f"{name}_{cam_name}"]["pointclouds"] = os.path.join(
pc_split_path, name, cam_name
)
split_dict[f"{name}_{cam_name}"]["images"] = png_file_paths
split_dict[f"{name}_{cam_name}"]["correspondences"] = co_file_paths
with open(os.path.join(split_path, f"{split}.json"), "w") as f:
json.dump(split_dict, f, indent=4)
# Example usage
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--dataset_root",
required=True,
help="Path to the Structured3D dataset containing scene folders",
)
config = parser.parse_args()
get_splits_paths(config.dataset_root)
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