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Xin Li 9e8f764399
fix image-demo.py empty class_name fatal (#615) 		2023-03-02 15:14:51 +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 Add deepstream yolov5 config (#571) 2023-02-23 10:14:32 +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 fix image-demo.py empty class_name fatal (#615) 2023-03-02 15:14:51 +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