| |
| import io |
| import os |
| from argparse import ArgumentParser |
|
|
| import lmdb |
| import numpy as np |
| from PIL import Image |
|
|
|
|
| def main(): |
| parser = ArgumentParser() |
| parser.add_argument('inputs', nargs='+', help='Path to input LMDBs') |
| parser.add_argument('--output', help='Path to output LMDB') |
| parser.add_argument('--min_image_dim', type=int, default=8) |
| args = parser.parse_args() |
|
|
| os.makedirs(args.output, exist_ok=True) |
| with lmdb.open(args.output, map_size=1099511627776) as env_out: |
| in_samples = 0 |
| out_samples = 0 |
| samples_per_chunk = 1000 |
| for lmdb_in in args.inputs: |
| with lmdb.open(lmdb_in, readonly=True, max_readers=1, lock=False) as env_in: |
| with env_in.begin() as txn: |
| num_samples = int(txn.get('num-samples'.encode())) |
| in_samples += num_samples |
| chunks = np.array_split(range(num_samples), num_samples // samples_per_chunk) |
| for chunk in chunks: |
| cache = {} |
| with env_in.begin() as txn: |
| for index in chunk: |
| index += 1 |
| image_key = f'image-{index:09d}'.encode() |
| image_bin = txn.get(image_key) |
| img = Image.open(io.BytesIO(image_bin)) |
| w, h = img.size |
| if w < args.min_image_dim or h < args.min_image_dim: |
| print(f'Skipping: {index}, w = {w}, h = {h}') |
| continue |
| out_samples += 1 |
| label_key = f'label-{index:09d}'.encode() |
| out_label_key = f'label-{out_samples:09d}'.encode() |
| out_image_key = f'image-{out_samples:09d}'.encode() |
| cache[out_label_key] = txn.get(label_key) |
| cache[out_image_key] = image_bin |
| with env_out.begin(write=True) as txn: |
| for k, v in cache.items(): |
| txn.put(k, v) |
| print(f'Written samples from {chunk[0]} to {chunk[-1]}') |
| with env_out.begin(write=True) as txn: |
| txn.put('num-samples'.encode(), str(out_samples).encode()) |
| print(f'Written {out_samples} samples to {args.output} out of {in_samples} input samples.') |
|
|
|
|
| if __name__ == '__main__': |
| main() |
|
|
