Created
January 5, 2024 21:48
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pad video sleap
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#!/usr/bin/env python3 | |
import h5py | |
import cv2 | |
import numpy as np | |
import sys | |
import json | |
import shutil | |
in_fname = sys.argv[1] | |
out_fname = sys.argv[2] | |
# in_fname = '/home/lili/Downloads/test-sleap/fly32.pkg.slp' | |
# out_fname = '/home/lili/Downloads/test-sleap/fly32_pad.pkg.slp' | |
# f = h5py.File(in_fname, 'r') | |
shutil.copy(in_fname, out_fname) | |
f = h5py.File(out_fname, 'r+') | |
for line in f['videos_json']: | |
v = json.loads(line) | |
name = v['backend']['dataset'] | |
print(name) | |
if f[name].dtype in ['int8', 'uint8']: | |
continue | |
if len(f[name]) == 0: | |
continue | |
ds = f.pop(name) | |
m = max([len(x) for x in ds]) | |
out = f.create_dataset(name, (len(ds), m), | |
compression='gzip', | |
dtype='int8', fillvalue=0) | |
for i in range(len(ds)): | |
x = ds[i] | |
out[i, 0:len(x)] = x | |
for k, v in ds.attrs.items(): | |
out.attrs[k] = v | |
f.close() | |
import tempfile | |
import subprocess | |
temp_filename = tempfile.NamedTemporaryFile().name | |
# temp_filename = temp_file.name | |
subprocess.run(['h5repack', out_fname, temp_filename]) | |
shutil.move(temp_filename, out_fname) |
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