VisionZQ

TF1.13.1+Keras2.2.4成功

谢谢。又Review了一次论文，理解到了。

I really appreciate you . I quite agree with you,init the net from the pre-training model is ok。。 I have a little question， why did not you normalize the bounding...

Hi， I review the code again carefully. Seems to have found the bug. Initialize the the 'conv' layer, but 'conv' layer involve ['Conv2d , BatchNorm.Relu], The dimension of BatchNorm layer...

Thank you very much.

Hi, Some nets can work fine for gpu mode, but others not, such as 'fssd_lite_mobilenetv2_train_voc.yml' . because the code 'x = torch.autograd.Variable(x, volatile=True).cuda()' in model_builder.py if I modify the code...

Thanks a lot for you kindness and efforts.. I do the same work by run 'sh time_benchmark.sh',all is ok. But , the error happened again when I running 'python train...

ok..firstly, I don't have COCO datasets, VOC datasets is available for me.. Step1. I run 'python train.py --cfg=./experiments/cfgs/fssd_lite_mobilenetv2_train_voc.yml ' No module named 'lib.utils.pycocotools._mask' So, I shield some code in dataset_factory.py...

> Hi @VisionZQ, If you want to use DALI for inference you may check [DALI dedicated TRITON backend](https://github.com/triton-inference-server/dali_backend). What you really want to do is mostly create DALI pipeline and...