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tripleMu a44495868d
[Feature] Support PyTorch model forward for TensorRT inference (#377) 
* Support pytorch model forward for TensorRT

* Add ort wrapper

* Fix import

* Add deploy image-demo

* raise NotImplementedError

* Fix onnxruntime output gpu tensor
 		2022-12-29 12:11:16 +08:00
..
backbone [Deploy] MMYOLO model convert to onnx for deployment. (#279) 2022-11-23 10:43:41 +08:00
bbox_code [Deploy] MMYOLO model convert to onnx for deployment. (#279) 2022-11-23 10:43:41 +08:00
docs [Deploy] MMYOLO model convert to onnx for deployment. (#279) 2022-11-23 10:43:41 +08:00
model [Feature] Support PyTorch model forward for TensorRT inference (#377) 2022-12-29 12:11:16 +08:00
nms [Deploy] MMYOLO model convert to onnx for deployment. (#279) 2022-11-23 10:43:41 +08:00
tools [Feature] Support PyTorch model forward for TensorRT inference (#377) 2022-12-29 12:11:16 +08:00
README.md [Deploy] MMYOLO model convert to onnx for deployment. (#279) 2022-11-23 10:43:41 +08:00
README_zh-CN.md [Deploy] MMYOLO model convert to onnx for deployment. (#279) 2022-11-23 10:43:41 +08:00

README.md

MMYOLO Model Easy-Deployment

Introduction

This project is developed for easily converting your MMYOLO models to other inference backends without the need of MMDeploy, which reduces the cost of both time and effort on getting familiar with MMDeploy.

Currently we support converting to ONNX and TensorRT formats, other inference backends such ncnn will be added to this project as well.

Supported Backends