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* Add Huawei Ascend NPU deploy through PaddleLite CANN * Add NNAdapter interface for paddlelite * Modify Huawei Ascend Cmake * Update way for compiling Huawei Ascend NPU deployment * remove UseLiteBackend in UseCANN * Support compile python whlee * Change names of nnadapter API * Add nnadapter pybind and remove useless API * Support Python deployment on Huawei Ascend NPU * Add models suppor for ascend * Add PPOCR rec reszie for ascend * fix conflict for ascend * Rename CANN to Ascend * Rename CANN to Ascend * Improve ascend * fix ascend bug * improve ascend docs * improve ascend docs * improve ascend docs * Improve Ascend * Improve Ascend * Move ascend python demo * Imporve ascend * Improve ascend * Improve ascend * Improve ascend * Improve ascend * Imporve ascend * Imporve ascend * Improve ascend * acc eval script * acc eval * remove acc_eval from branch huawei * Add detection and segmentation examples for Ascend deployment * Add detection and segmentation examples for Ascend deployment * Add PPOCR example for ascend deploy * Imporve paddle lite compiliation * Add FlyCV doc * Add FlyCV doc * Add FlyCV doc * Imporve Ascend docs * Imporve Ascend docs
YOLOv5准备部署模型
- YOLOv5 v7.0部署模型实现来自YOLOv5,和基于COCO的预训练模型
下载预训练ONNX模型
为了方便开发者的测试,下面提供了YOLOv5导出的各系列模型,开发者可直接下载使用。(下表中模型的精度来源于源官方库)
模型 | 大小 | 精度 |
---|---|---|
YOLOv5n | 7.6MB | 28.0% |
YOLOv5s | 28MB | 37.4% |
YOLOv5m | 82MB | 45.4% |
YOLOv5l | 178MB | 49.0% |
YOLOv5x | 332MB | 50.7% |
详细部署文档
版本说明
- 本版本文档和代码基于YOLOv5 v7.0 编写