FastDeploy/examples/vision/detection/yolov5/sophgo/cpp/README.md

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YOLOv5 C++ Deployment Example

infer.cc in this directory provides a quick example of accelerated deployment of the yolov5s model on SOPHGO BM1684x.

Before deployment, the following two steps need to be confirmed:

1. Hardware and software environment meets the requirements.
2. Compile the FastDeploy repository from scratch according to the development environment.

For the above steps, please refer to How to Build SOPHGO Deployment Environment.

Generate Basic Directory Files

The routine consists of the following parts:

.
├── CMakeLists.txt
├── build  # Compile Folder
├── image  # Folder for images
├── infer.cc
└── model  # Folder for models

Compile

Compile and Copy SDK to folder thirdpartys

Please refer to How to Build SOPHGO Deployment Environment to compile SDK.After compiling, the fastdeploy-0.0.3 directory will be created in the build directory.

Copy model and configuration files to folder Model

Convert Paddle model to SOPHGO bmodel model. For the conversion steps, please refer to Document. Please copy the converted SOPHGO bmodel to folder model.

Prepare Test Images to folder image

wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
cp 000000014439.jpg ./images

Compile example

cd build
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-0.0.3
make

Running Routines

./infer_demo model images/000000014439.jpg

• Model Description
• Model Conversion