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update mAP
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chenyuntc committed Dec 22, 2017
1 parent 6de4623 commit f7d84f0
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Showing 2 changed files with 4 additions and 4 deletions.
6 changes: 3 additions & 3 deletions README.MD
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Expand Up @@ -17,10 +17,10 @@ VGG16 train on trainval and test on test, Note, the training show great randomne
| Implementation | mAP |
| :--------------------------------------: | ----------- |
| [origin paper](https://arxiv.org/abs/1506.01497) | 0.699 |
| using caffe pretrained model (enable with`--caffe-pretrain`) | 0.700-0.708 |
| using torchvision pretrained model | 0.690-0.701 |
| using caffe pretrained model (enable with`--caffe-pretrain`) | 0.702-0.712 |
| using torchvision pretrained model | 0.693-0.701 |
| model converted from [chainercv](https://github.com/chainer/chainercv/tree/master/examples/faster_rcnn) (reported 0.706) | 0.7053 |
| current the best i've ever seen (ruotian's) | 0.711 |


- Speed

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2 changes: 1 addition & 1 deletion trainer.py
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Expand Up @@ -213,7 +213,7 @@ def load(self, path, load_optimizer=True, parse_opt=False,):
if 'model' in state_dict:
self.faster_rcnn.load_state_dict(state_dict['model'])
else: # legacy way, for backward compatibility
self.load_state_dict(state_dict)
self.faster_rcnn.load_state_dict(state_dict)
return self
if parse_opt:
opt._parse(state_dict['config'])
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