q yao

Hi Are you using the latest code? Please update `amirstan_plugin`, `torch2trt_dynamic` and `mmdetection-to-tensorrt` and try again. Also, note that the current master requires mmdet>=2.18 which is slightly different from the...

Please repo you enviroment. You can use this script `python tools/collect_env.py`

Yes, please read [use in c++](https://github.com/grimoire/mmdetection-to-tensorrt/blob/master/docs/getting_started.md#use-in-c) for detail.

It is in `${AMIRSTAN_PLUGIN_PATH}/build/lib` if you have build the plugin follow the readme.

Use [deepstream support](https://github.com/grimoire/mmdetection-to-tensorrt/blob/master/docs/getting_started.md#deepstream-support) if you want to do stream inference. Or use c++ api like [official one](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#perform_inference_c). Preprocess and postprocess are not in the engine. Should be implemented by your...

@ShaneYS The only **postprocess** you need to do is ``` bboxes = bboxes/scale_factor ```

@ShaneYS [Here](https://docs.nvidia.com/deeplearning/tensorrt/api/python_api/infer/Graph/Layers.html) is the TensorRT supported layers. Ops like nms does not supported can be implemented as [TensorRT Plugin](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#extending). That's why this project need `amirstan_plugin`.

Can you provide more details about the enviroment? You can use [this tool](https://github.com/grimoire/mmdetection-to-tensorrt/blob/master/tools/collect_env.py) to collect the enviroment.

Model conversion works fine on latest mmdetection on my device. I am trying to build a similar enviroment that you provided. It might take some time. What have you change...

Hi, Which mmdet version are you using? Not that the master branch of this repo only support mmdet1.18+. You can check your environment with [collect_env.py](https://github.com/grimoire/mmdetection-to-tensorrt/blob/master/tools/collect_env.py). If you insist to use...