Spaces:
Running
on
L40S
Running
on
L40S
File size: 1,260 Bytes
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import os
from tqdm import tqdm
import json
from icecream import ic
def check_render(dataset, st=None, end=None):
total_lists = []
with open(dataset+'.json', 'r') as f:
glb_list = json.load(f)
for x in glb_list:
total_lists.append(x.split('/')[-2] )
if st is not None:
end = min(end, len(total_lists))
total_lists = total_lists[st:end]
glb_list = glb_list[st:end]
save_dir = '/data/lipeng/human_8view_with_smplx/'+dataset
unrendered = set(total_lists) - set(os.listdir(save_dir))
num_finish = 0
num_failed = len(unrendered)
failed_case = []
for case in os.listdir(save_dir):
if not os.path.exists(os.path.join(save_dir, case, 'smpl_normal', '007.png')):
failed_case.append(case)
num_failed += 1
else:
num_finish += 1
ic(num_failed)
ic(num_finish)
need_render = []
for full_path in glb_list:
for case in failed_case:
if case in full_path:
need_render.append(full_path)
with open('need_render.json', 'w') as f:
json.dump(need_render, f, indent=4)
if __name__ == '__main__':
dataset = 'THuman2.1'
check_render(dataset) |