style(projects/bagtricks)

remove export to tensorflow temporarily

projects/BagTricks/export2tf.py

@@ -1,48 +0,0 @@
-# encoding: utf-8
-"""
-@author:  sherlock
-@contact: sherlockliao01@gmail.com
-"""
-
-import sys
-
-import torch
-sys.path.append('../..')
-from fastreid.config import get_cfg
-from fastreid.engine import default_argument_parser, default_setup
-from fastreid.modeling.meta_arch import build_model
-from fastreid.export.tensorflow_export import export_tf_reid_model
-from fastreid.export.tf_modeling import TfMetaArch
-
-
-def setup(args):
-    """
-    Create configs and perform basic setups.
-    """
-    cfg = get_cfg()
-    # cfg.merge_from_file(args.config_file)
-    cfg.merge_from_list(args.opts)
-    cfg.freeze()
-    default_setup(cfg, args)
-    return cfg
-
-
-if __name__ == "__main__":
-    args = default_argument_parser().parse_args()
-    print("Command Line Args:", args)
-    cfg = setup(args)
-    cfg.defrost()
-    cfg.MODEL.BACKBONE.NAME = "build_resnet_backbone"
-    cfg.MODEL.BACKBONE.DEPTH = 50
-    cfg.MODEL.BACKBONE.LAST_STRIDE = 1
-    # If use IBN block in backbone
-    cfg.MODEL.BACKBONE.WITH_IBN = False
-    cfg.MODEL.BACKBONE.PRETRAIN = False
-
-    from torchvision.models import resnet50
-    # model = TfMetaArch(cfg)
-    model = resnet50(pretrained=False)
-    # model.load_params_wo_fc(torch.load('logs/bjstation/res50_baseline_v0.4/ckpts/model_epoch80.pth'))
-    model.eval()
-    dummy_inputs = torch.randn(1, 3, 256, 128)
-    export_tf_reid_model(model, dummy_inputs, 'reid_tf.pb')