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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
YOLOv6准备部署模型
-
YOLOv6 部署实现来自YOLOv6,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YOLOv6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 |
---|---|---|
YOLOv6s | 66MB | 43.1% |
YOLOv6s_640 | 66MB | 43.1% |
YOLOv6t | 58MB | 41.3% |
YOLOv6n | 17MB | 35.0% |
详细部署文档
版本说明
- 本版本文档和代码基于YOLOv6 0.1.0版本 编写