70 lines
2.8 KiB
Python
70 lines
2.8 KiB
Python
|
import sys, os
|
||
|
|
import argparse
|
||
|
|
from src.utils import load_config
|
||
|
|
import subprocess
|
||
|
|
os.environ['MKL_THREADING_LAYER'] = 'GNU'
|
||
|
|
|
||
|
|
def main():
|
||
|
|
|
||
|
|
parser = argparse.ArgumentParser(description='MNIST toy experiment')
|
||
|
|
parser.add_argument('config', type=str, help='Path to config file.')
|
||
|
|
parser.add_argument('--start_res', type=int, default=-1, help='Resolution to start with.')
|
||
|
|
parser.add_argument('--object_id', type=int, default=-1, help='Object index.')
|
||
|
|
|
||
|
|
args, unknown = parser.parse_known_args()
|
||
|
|
cfg = load_config(args.config, 'configs/default.yaml')
|
||
|
|
|
||
|
|
resolutions=[32, 64, 128, 256]
|
||
|
|
iterations=[1000, 1000, 1000, 200]
|
||
|
|
lrs=[2e-3, 2e-3*0.7, 2e-3*(0.7**2), 2e-3*(0.7**3)] # reduce lr
|
||
|
|
for idx,(res, iteration, lr) in enumerate(zip(resolutions, iterations, lrs)):
|
||
|
|
|
||
|
|
if res<args.start_res:
|
||
|
|
continue
|
||
|
|
|
||
|
|
if res>cfg['model']['grid_res']:
|
||
|
|
continue
|
||
|
|
|
||
|
|
psr_sigma= 2 if res<=128 else 3
|
||
|
|
|
||
|
|
if res > 128:
|
||
|
|
psr_sigma = 5 if 'thingi_noisy' in args.config else 3
|
||
|
|
|
||
|
|
if args.object_id != -1:
|
||
|
|
out_dir = os.path.join(cfg['train']['out_dir'], 'object_%02d'%args.object_id, 'res_%d'%res)
|
||
|
|
else:
|
||
|
|
out_dir = os.path.join(cfg['train']['out_dir'], 'res_%d'%res)
|
||
|
|
|
||
|
|
# sample from mesh when resampling is enabled, otherwise reuse the pointcloud
|
||
|
|
init_shape='mesh' if cfg['train']['resample_every']>0 else 'pointcloud'
|
||
|
|
|
||
|
|
|
||
|
|
if args.object_id != -1:
|
||
|
|
input_mesh='None' if idx==0 else os.path.join(cfg['train']['out_dir'],
|
||
|
|
'object_%02d'%args.object_id, 'res_%d' % (resolutions[idx-1]),
|
||
|
|
'vis', init_shape, '%04d.ply' % (iterations[idx-1]))
|
||
|
|
else:
|
||
|
|
input_mesh='None' if idx==0 else os.path.join(cfg['train']['out_dir'],
|
||
|
|
'res_%d' % (resolutions[idx-1]),
|
||
|
|
'vis', init_shape, '%04d.ply' % (iterations[idx-1]))
|
||
|
|
|
||
|
|
|
||
|
|
cmd = 'export MKL_SERVICE_FORCE_INTEL=1 && '
|
||
|
|
cmd += "python optim.py %s --model:grid_res %d --model:psr_sigma %d \
|
||
|
|
--train:input_mesh %s --train:total_epochs %d \
|
||
|
|
--train:out_dir %s --train:lr_pcl %f \
|
||
|
|
--data:object_id %d" % (
|
||
|
|
args.config,
|
||
|
|
res,
|
||
|
|
psr_sigma,
|
||
|
|
input_mesh,
|
||
|
|
iteration,
|
||
|
|
out_dir,
|
||
|
|
lr,
|
||
|
|
args.object_id)
|
||
|
|
print(cmd)
|
||
|
|
os.system(cmd)
|
||
|
|
|
||
|
|
if __name__=="__main__":
|
||
|
|
main()
|