File size: 2,802 Bytes
34e7ef3 | 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 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | import os
import argparse
import proxyclip_segmentor
import declip_segmentor
import custom_datasets
import tinyclip_segmentor
import tinyclip_proxy_segmentor
from myutils import append_experiment_result
from mmengine.config import Config
from mmengine.runner import Runner
def parse_args():
parser = argparse.ArgumentParser(
description='SCLIP evaluation with MMSeg')
parser.add_argument('--config', '-c', default='./configs/cfg_coco_stuff164k.py')
parser.add_argument('--work-dir', default='./work_logs/')
parser.add_argument(
'--show', action='store_true', help='show prediction results')
parser.add_argument(
'--show_dir',
default='./show_dir/',
help='directory to save visualizaion images')
parser.add_argument(
'--launcher',
choices=['none', 'pytorch', 'slurm', 'mpi'],
default='none',
help='job launcher')
# When using PyTorch version >= 2.0.0, the `torch.distributed.launch`
# will pass the `--local-rank` parameter to `tools/train.py` instead
# of `--local_rank`.
parser.add_argument('--local_rank', '--local-rank', type=int, default=0)
args = parser.parse_args()
if 'LOCAL_RANK' not in os.environ:
os.environ['LOCAL_RANK'] = str(args.local_rank)
return args
def trigger_visualization_hook(cfg, args):
default_hooks = cfg.default_hooks
if 'visualization' in default_hooks:
visualization_hook = default_hooks['visualization']
# Turn on visualization
visualization_hook['draw'] = True
if args.show:
visualization_hook['show'] = True
visualization_hook['wait_time'] = args.wait_time
if args.show_dir:
visualizer = cfg.visualizer
visualizer['save_dir'] = args.show_dir
else:
raise RuntimeError(
'VisualizationHook must be included in default_hooks.'
'refer to usage '
'"visualization=dict(type=\'VisualizationHook\')"')
return cfg
def main():
args = parse_args()
cfg = Config.fromfile(args.config)
cfg.launcher = args.launcher
cfg.work_dir = args.work_dir
# trigger_visualization_hook(cfg, args)
runner = Runner.from_cfg(cfg)
results = runner.test()
results.update({'CLIP': cfg.model.clip_type,
'Dataset': cfg.dataset_type,
'Ckpt':cfg.model.checkpoint})
if runner.rank == 0:
append_experiment_result('results.xlsx', [results])
if runner.rank == 0:
with open(os.path.join(cfg.work_dir, 'results.txt'), 'a') as f:
f.write(os.path.basename(args.config).split('.')[0] + '\n')
for k, v in results.items():
f.write(k + ': ' + str(v) + '\n')
if __name__ == '__main__':
main() |