Manu Mathew

Hi, what is the accuracy that you get with QAT in the PyTorch code during validation?

Also, please tell me the accuracy that you get with 8-bit quantization when you set calibrationOption = 7 in the TIDL import config. This should be with the original model...

1. Have you followed the guidelines and restrictions in https://git.ti.com/cgit/jacinto-ai/pytorch-jacinto-ai-devkit/about/docs/Quantization.md Typically when i ask this question everybody says YES, but then when we dig deep and look closer, many times...

Great! Let us know your progress.

Hi, I am not knowledgeable about vision apps and how TIDL is integrated in the system. Can you try asking the question in the following forum: https://e2e.ti.com/support/processors/f/791/tags/TIDL There are experts...

mmdetection has promised that they will support CenterNet and I am looking forward for it to be supported: https://github.com/open-mmlab/mmdetection/issues/2931 "We have heard the voice from the community for CenterNet, and...

Hi we have published an Object Detection training package called Pytorch-MMDetection which is basically an extension of mmdetection. We support several low complexity models and if you study the accuracy...

Another option is for you share your CenterNet ONNX model (both without and with QAT) and I can take a look at it. Btw, who is the FAE/Apps Support Engineer...

@WangGangUCAS Have a look at our latest Object Detection results: https://git.ti.com/cgit/jacinto-ai/pytorch-mmdetection/about/docs/det_modelzoo.md I believe they are quite competitive if you consider the complexity and accuracy.

Hi, In pytorch-jacinto-ai-devkit: in the file modules/pytorch_jacinto_ai/xnn/quantize/quant_graph_module.py you can see the lines: self.quantize_out_blocks = (torch.nn.ReLU, torch.nn.ReLU6, torch.nn.Hardtanh, layers.QAct, layers.PAct2, layers.AddBlock, layers.CatBlock, layers.MultBlock, torch.nn.MaxPool2d, torch.nn.AvgPool2d) Please try after removing the torch.nn.AvgPool2d...