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70 lines
2.2 KiB
Markdown
70 lines
2.2 KiB
Markdown
English | [简体中文](README_CN.md)
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# PaddleDetection Deployment Examples for C++
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`infer_picodet.cc` in this directory provides an example of quickly completing the PPDetection model on Rockchip boards for accelerated deployment via second-generation NPUs.
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Before deployment, the following two steps need to be confirmed:
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1. Hardware and software environment meets the requirements.
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2. Download the pre-compiled deployment repository or compile the FastDeploy repository from scratch according to the development environment.
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For the above steps, please refer to [How to Build RKNPU2 Deployment Environment](../../../../../../docs/en/build_and_install/rknpu2.md).
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## Generate Basic Directory Files
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The routine consists of the following parts:
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```text
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.
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├── CMakeLists.txt
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├── build # Compile Folder
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├── image # Folder for images
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├── infer_picodet.cc
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├── model # Folder for models
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└── thirdpartys # Folder for sdk
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```
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First, please build a directory structure
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```bash
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mkdir build
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mkdir images
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mkdir model
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mkdir thirdpartys
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```
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## Compile
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### Compile and Copy SDK to folder thirdpartys
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Please refer to [How to Build RKNPU2 Deployment Environment](../../../../../../docs/en/build_and_install/rknpu2.md) to compile SDK.After compiling, the fastdeploy-0.0.3 directory will be created in the build directory, please move it to the thirdpartys directory.
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### Copy model and configuration files to folder Model
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In the process of Paddle dynamic map model -> Paddle static map model -> ONNX mdoel, ONNX file and the corresponding yaml configuration file will be generated. Please move the configuration file to the folder model.
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After converting to RKNN, the model file also needs to be copied to folder model.
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### Prepare Test Images to folder image
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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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cp 000000014439.jpg ./images
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```
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### Compile example
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```bash
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cd build
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cmake ..
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make -j8
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make install
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```
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## Running Routines
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```bash
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cd ./build/install
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./infer_picodet model/picodet_s_416_coco_lcnet images/000000014439.jpg
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```
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- [Model Description](../../)
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- [Python Deployment](../python)
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- [Vision model prediction results](../../../../../../docs/api/vision_results/)
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