thb1314 / mmyolo_tensorrtLinks
☆139Updated last year
Alternatives and similar repositories for mmyolo_tensorrt
Users that are interested in mmyolo_tensorrt are comparing it to the libraries listed below
Sorting:
- yolov5 tensorrt int8量化方法汇总☆76Updated last year
- Using pattern matcher in onnx model to match and replace subgraphs.☆80Updated last year
- ☆114Updated last year
- 该代码与B站上的视频 https://www.bilibili.com/video/BV18L41197Uz/?spm_id_from=333.788&vd_source=eefa4b6e337f16d87d87c2c357db8ca7 相关联。☆69Updated last year
- 使用pytorch_quantization对yolov8进行量化☆109Updated last year
- algorithm-cpp projects☆80Updated 2 years ago
- An onnx-based quantitation tool.☆71Updated last year
- [T-PAMI'23] PAGCP for the compression of YOLOv5☆117Updated 2 years ago
- 🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yol…☆131Updated last year
- ☆130Updated last year
- ☆99Updated last year
- tensorrt int8 量化yolov5 onnx模型☆183Updated 4 years ago
- TensorRT 2022 亚军方案,tensorrt加速mobilevit模型☆67Updated 3 years ago
- This is 8-bit quantization sample for yolov5. Both PTQ, QAT and Partial Quantization have been implemented, and present the results based…☆102Updated 2 years ago
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite☆68Updated 3 years ago
- learning-cuda-trt☆114Updated 2 years ago
- ☆47Updated 2 years ago
- Yolov5 inference on NVDec hardware decoder☆87Updated 3 years ago
- ☆78Updated 2 years ago
- This project showcases the deployment of the RT-DETR model using ONNXRUNTIME in C++ and Python.☆55Updated 2 years ago
- ☆51Updated 2 years ago
- ☆117Updated last year
- Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!☆65Updated last year
- ☆38Updated 2 years ago
- 本项目支持对剪枝后的yolov5模型进行知识蒸馏训练(This project supports knowledge distillation training for the pruned YOLOv5 model)☆104Updated last year
- TensorRT int8 量化部署 yolov5s 模型,实测3.3ms一帧!☆170Updated 4 years ago
- ☆51Updated 2 years ago
- ☆56Updated last year
- Some tools to operate PaddlePaddle model☆73Updated 3 years ago
- 高效部署:YOLO X, V3, V4, V5, V6, V7, V8, EdgeYOLO TRT推理 ™️ ,前后处理均由CUDA核函数实现 CPP/CUDA🚀☆49Updated 2 years ago