Ghustwb

> PeleeNet is built in a multi-branch and narrow channel style. TensorRT can combine many small branches of PeleeNet into a large layer and speed up the running time greatly....

@Robert-JunWang Hi thanks for your work I only got 48fps on TX2 + TensorRT3.0.4,it is slower than mobileNet-SSD(54fps ,group conv). you can run 70+fps,can you share you experience? And can...

> I did not do any specific processing and just converted the merged Caffe model to TensorRT engine file. This speed is running FP32, The speed of the FP16 model...

I tried to convert YOLOX to NCNN by PNNX, I also met this issue "Load torchscript failed: PytorchStreamReader failed locating file constants.pkl: file not found"