Datasets:
File size: 1,970 Bytes
ce60264 | 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 | #!/usr/bin/env python3
"""Load one public eight-frame simulation observation, without model/GPU usage."""
import argparse,hashlib,io,json,tarfile
from pathlib import Path
import numpy as np
from PIL import Image
from schema import validate
def load(root,row):
validate(row);root=Path(root)
with tarfile.open(root/row['media_archive'],'r:') as archive:
member=archive.getmember(row['media_member'])
if not member.isfile() or member.name!=row['media_member']:raise ValueError('Unsafe tar member')
data=archive.extractfile(member).read()
if hashlib.sha256(data).hexdigest()!=row['media_sha256']:raise ValueError('Media SHA256 mismatch')
with np.load(io.BytesIO(data),allow_pickle=False) as arrays:
if set(arrays.files)!={f'f{i}' for i in range(8)}:raise ValueError('Unknown NPZ fields')
frames=[]
for i in range(8):
a=arrays[f'f{i}']
if a.dtype!=np.uint8 or a.ndim!=1:raise ValueError('Unexpected encoded frame')
im=Image.open(io.BytesIO(a.tobytes()));im.load()
if list(reversed(im.size))!=row['hw']:raise ValueError('Frame dimensions differ')
frames.append(im.convert('RGB'))
return frames,row
def main():
p=argparse.ArgumentParser(description=__doc__);p.add_argument('--root',type=Path,default=Path(__file__).resolve().parents[1]);p.add_argument('--split',choices=('train','heldout'),default='train');p.add_argument('--index',type=int,default=0);p.add_argument('--gif',type=Path);a=p.parse_args()
with (a.root/'data'/(a.split+'.jsonl')).open() as f:
row=next(json.loads(line) for n,line in enumerate(f) if n==a.index)
frames,row=load(a.root,row)
if a.gif:
if a.gif.exists():raise ValueError('Will not overwrite an existing user file')
frames[0].save(a.gif,save_all=True,append_images=frames[1:],duration=180,loop=0)
print(json.dumps({'sample_id':row['sample_id'],'frames':len(frames),'source':row['source_dataset'],'task':row['task'],'image_size':frames[0].size,'model_loaded':False},indent=2))
if __name__=='__main__':main()
|