| |
| """ |
| @author: xingyu liao |
| @contact: sherlockliao01@gmail.com |
| """ |
|
|
| import argparse |
| import logging |
| import sys |
|
|
| import torch |
|
|
| sys.path.append('.') |
|
|
| import pytorch_to_caffe |
| from fastreid.config import get_cfg |
| from fastreid.modeling.meta_arch import build_model |
| from fastreid.utils.file_io import PathManager |
| from fastreid.utils.checkpoint import Checkpointer |
| from fastreid.utils.logger import setup_logger |
|
|
| |
| |
| |
|
|
| setup_logger(name='fastreid') |
| logger = logging.getLogger("fastreid.caffe_export") |
|
|
|
|
| def setup_cfg(args): |
| cfg = get_cfg() |
| cfg.merge_from_file(args.config_file) |
| cfg.merge_from_list(args.opts) |
| cfg.freeze() |
| return cfg |
|
|
|
|
| def get_parser(): |
| parser = argparse.ArgumentParser(description="Convert Pytorch to Caffe model") |
|
|
| parser.add_argument( |
| "--config-file", |
| metavar="FILE", |
| help="path to config file", |
| ) |
| parser.add_argument( |
| "--name", |
| default="baseline", |
| help="name for converted model" |
| ) |
| parser.add_argument( |
| "--output", |
| default='caffe_model', |
| help='path to save converted caffe model' |
| ) |
| parser.add_argument( |
| "--opts", |
| help="Modify config options using the command-line 'KEY VALUE' pairs", |
| default=[], |
| nargs=argparse.REMAINDER, |
| ) |
| return parser |
|
|
|
|
| if __name__ == '__main__': |
| args = get_parser().parse_args() |
| cfg = setup_cfg(args) |
|
|
| cfg.defrost() |
| cfg.MODEL.BACKBONE.PRETRAIN = False |
| cfg.MODEL.HEADS.POOL_LAYER = "Identity" |
| cfg.MODEL.BACKBONE.WITH_NL = False |
|
|
| model = build_model(cfg) |
| Checkpointer(model).load(cfg.MODEL.WEIGHTS) |
| model.eval() |
| logger.info(model) |
|
|
| inputs = torch.randn(1, 3, cfg.INPUT.SIZE_TEST[0], cfg.INPUT.SIZE_TEST[1]).to(torch.device(cfg.MODEL.DEVICE)) |
| PathManager.mkdirs(args.output) |
| pytorch_to_caffe.trans_net(model, inputs, args.name) |
| pytorch_to_caffe.save_prototxt(f"{args.output}/{args.name}.prototxt") |
| pytorch_to_caffe.save_caffemodel(f"{args.output}/{args.name}.caffemodel") |
|
|
| logger.info(f"Export caffe model in {args.output} sucessfully!") |
|
|
