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* add function for setting anchor rknpu2 add more demo for rknpu2 fixed md error * Update config.h --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
43 lines
1.5 KiB
Markdown
43 lines
1.5 KiB
Markdown
[English](README.md) | 简体中文
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# RKYOLO C++部署示例
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本目录下提供`infer_xxxxx.cc`快速完成RKYOLO模型在Rockchip板子上上通过二代NPU加速部署的示例。
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在部署前，需确认以下两个步骤:
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1. 软硬件环境满足要求
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2. 根据开发环境，下载预编译部署库或者从头编译FastDeploy仓库
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以上步骤请参考[RK2代NPU部署库编译](../../../../../docs/cn/build_and_install/rknpu2.md)实现
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```bash
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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cd build
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cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
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make -j8
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wget https://bj.bcebos.com/paddlehub/fastdeploy/rknpu2/yolov5-s-relu.zip
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unzip yolov5-s-relu.zip
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./infer_rkyolov5 yolov5-s-relu/yolov5s_relu_tk2_RK3588_i8.rknn 000000014439.jpg
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wget https://bj.bcebos.com/paddlehub/fastdeploy/rknpu2/yolov7-tiny.zip
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unzip yolov7-tiny.zip
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./infer_rkyolov7 yolov7-tiny/yolov7-tiny_tk2_RK3588_i8.rknn 000000014439.jpg
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wget https://bj.bcebos.com/paddlehub/fastdeploy/rknpu2/yolox-s.zip
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unzip yolox-s.zip
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./infer_rkyolox yolox-s/yoloxs_tk2_RK3588_i8.rknn 000000014439.jpg
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```
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## 常见问题
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如果你使用自己训练的YOLOv5模型，你可能会碰到运行FastDeploy的demo后出现`segmentation fault`的问题，很大概率是label数目不一致，你可以使用以下方案来解决:
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```c++
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model.GetPostprocessor().SetClassNum(3);
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```
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- [模型介绍](../../)
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- [Python部署](../python)
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- [视觉模型预测结果](../../../../../docs/api/vision_results/)
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