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39 lines
2.0 KiB
Markdown
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39 lines
2.0 KiB
Markdown
Executable File
English | [简体中文](README_CN.md)
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# YOLOv7 Quantification Model C++ Deployment Example
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This directory provides examples that `infer.cc` fast finishes the deployment of YOLOv7 quantification models on CPU/GPU.
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## Prepare the deployment
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### FastDeploy Environment Preparation
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- 1. Software and hardware should meet the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
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- 2. Install FastDeploy Python whl package. Refer to [FastDeploy Python Installation](../../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
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### Prepare the quantification model
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- 1. Users can directly deploy quantized models provided by FastDeploy.
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- 2. Or users can use the [One-click auto-compression tool](../../../../../../tools/common_tools/auto_compression/) provided by FastDeploy to automatically conduct quantification model for deployment.
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## Example: quantized YOLOv7 model
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The compilation and deployment can be completed by executing the following command in this directory. FastDeploy version 0.7.0 or above (x.x.x>=0.7.0) is required to support this model.
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```bash
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mkdir build
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cd build
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# Download the FastDeploy precompiled library. Users can choose your appropriate version in the `FastDeploy Precompiled Library` mentioned above
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wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz
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tar xvf fastdeploy-linux-x64-x.x.x.tgz
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cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
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make -j
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# Download yolov7 quantification model files and test images provided by FastDeploy
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wget https://bj.bcebos.com/paddlehub/fastdeploy/yolov7_quant.tar
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tar -xvf yolov7_quant.tar
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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# Use ONNX Runtime quantification model on CPU
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./infer_demo yolov7_quant 000000014439.jpg 0
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# Use TensorRT quantification model on GPU
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./infer_demo yolov7_quant 000000014439.jpg 1
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# Use Paddle-TensorRT quantification model on GPU
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./infer_demo yolov7_quant 000000014439.jpg 2
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```
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