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Regarding model-zoo ReID loss layer #423

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Maharshi-Aupera opened this issue May 26, 2021 · 2 comments
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Regarding model-zoo ReID loss layer #423

Maharshi-Aupera opened this issue May 26, 2021 · 2 comments

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@Maharshi-Aupera
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Hi Xilinx Community,

Thanks for the great work on Vitis-AI. I am trying to find the loss layer for re-training the ReID model from Model-Zoo but could not find the loss layer in any of the float prototxt files or readme markdown.

Did I miss any place looking at or the loss layer is not exposed to Vitis-AI user from Xilinx yet?

Thanks.

@Kewenjing1020
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Kewenjing1020 commented May 26, 2021

Hi @Maharshi-Aupera ,
the reid_caffe model is trained on pytorch and then converted to caffe model. So we don't provide the reid_caffe training code. If you would like to train your reid model, I would recommend you to use this pytorch repo then use pytorch2caffe conversion tool to convert the model.

@Maharshi-Aupera
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Thank you @Kewenjing1020.

hanxue pushed a commit that referenced this issue Jul 23, 2021
* update ssd-mobilenet xclbin link

* fix detection print issue & update performance print

* fix detection print issue & update performance print

Co-authored-by: Anusha Perla <anup@xilinx.com>
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