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CornerNet has recently been upgraded to CornerNet-Lite, and has made great progress. Do you have a comparison of the efficiency and time of testing with CornerNet's AP detection? #24
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Sorry, we have not yet. |
**Can you help me add the parameters of CenterNet to the model files CornerNet_Saccade.py and CornerNet_Squeeze.py?Thank you very much! Because the format of CornerNet-Lite's training model file has changed, and I have successfully trained CornerNet-Lite, just need to modify the parameters and add your CenterNet parameters. Thank you!** Email:2737499951@QQ.COM https://github.com/princeton-vl/CornerNet-Lite/tree/master/core/models form https://github.com/princeton-vl/CornerNet-Lite/blob/master/core/models/CornerNet_Saccade.py#CornerNet_Saccade.py ===================== form https://github.com/princeton-vl/CornerNet-Lite/blob/master/core/models/CornerNet_Squeeze.py#CornerNet_Squeeze.py |
**Can you help me add the parameters of CenterNet to the model files CornerNet_Saccade.py and CornerNet_Squeeze.py?Thank you very much! Because the format of CornerNet-Lite's training model file has changed, and I have successfully trained CornerNet-Lite, just need to modify the parameters and add your CenterNet parameters. Thank you!** Email:2737499951@QQ.COM https://github.com/princeton-vl/CornerNet-Lite/tree/master/core/models form https://github.com/princeton-vl/CornerNet-Lite/blob/master/core/models/CornerNet_Saccade.py `import torch from .py_utils import TopPool, BottomPool, LeftPool, RightPool from .py_utils.utils import convolution, residual, corner_pool def make_pool_layer(dim): def make_hg_layer(inp_dim, out_dim, modules): class model(saccade_net): def _merge_mod(self): def init(self):
===================== form https://github.com/princeton-vl/CornerNet-Lite/blob/master/core/models/CornerNet_Squeeze.py `import torch from .py_utils import TopPool, BottomPool, LeftPool, RightPool from .py_utils.utils import convolution, corner_pool, residual class fire_module(nn.Module): def forward(self, x): def make_unpool_layer(dim): def make_layer(inp_dim, out_dim, modules): def make_layer_revr(inp_dim, out_dim, modules): def make_hg_layer(inp_dim, out_dim, modules): class model(hg_net): def _merge_mod(self): def init(self):
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WIN10下已经解决了安装和训练,还有问题的,可以加Q群264191384 注明(CenterNet)共同研究,谢谢 |
Cornernet_Lite is an enhancement of Cornernet with the same backbone network. |
CornerNet has recently been upgraded to CornerNet-Lite, and has made great progress. Do you have a comparison of the efficiency and time of testing with CornerNet's AP detection? THX!
https://github.com/princeton-vl/CornerNet-Lite
Code for reproducing results in the following paper:
CornerNet-Lite: Efficient Keypoint Based Object Detection CornerNet-Lite:基于关键点的高效对象检测
Hei Law, Yun Teng, Olga Russakovsky, Jia Deng
arXiv:1904.08900
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