mmyolo/projects/easydeploy
tripleMu 031e7450bc
[Happy New Year] TensorRT + DeepStream Support. (#485)
* [Happy New Years] TensorRT + DeepStream Support.

* Add deepstream config

* pre-commit fix

* Fix name

* [Happy New Years] TensorRT + DeepStream Support.

* Add deepstream config

* pre-commit fix

* Fix name

* Add config

* Add rtmdet deepstream
2023-02-08 11:07:46 +08:00
..
backbone [Fix] Fix YOLOv8 graph and a lint issue (#459) 2023-01-12 16:00:46 +08:00
bbox_code Fix rtmdet decoder in easydeploy (#519) 2023-02-07 14:45:27 +08:00
deepstream [Happy New Year] TensorRT + DeepStream Support. (#485) 2023-02-08 11:07:46 +08:00
docs [Deploy] MMYOLO model convert to onnx for deployment. (#279) 2022-11-23 10:43:41 +08:00
model [Fix] Fix requirement about only ONNXRuntime without TensorRT (#469) 2023-01-16 19:36:49 +08:00
nms [Feature] Add new YOLOX bbox coder for TensorRT-8 and fix TensorRT-7 bug (#450) 2023-01-11 17:10:04 +08:00
tools Support YOLOv8 deploy (#456) 2023-01-12 10:07:44 +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