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examples/vision/detection/yolov7/python/README_EN.md
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@@ -4,8 +4,8 @@ English | [简体中文](README.md)
Two steps before deployment:
- 1. The hardware and software environment meets the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../docs_en/environment.md)
- 2. Install FastDeploy Python whl package. Please refer to [FastDeploy Python Installation](../../../../../docs_en/quick_start)
- 1. The hardware and software environment meets the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../docs/docs_en/environment.md)
- 2. Install FastDeploy Python whl package. Please refer to [FastDeploy Python Installation](../../../../../docs/docs_en/quick_start)
This doc provides a quick `infer.py` demo of YOLOv7 deployment on CPU/GPU, and accelerated GPU deployment by TensorRT. Run the following command:
@@ -62,7 +62,7 @@ YOLOv7 model loading and initialisation, with model_file being the exported ONNX
> **Return**
>
> > Return to`fastdeploy.vision.DetectionResult`Struct. For more details, please refer to [Vision Model Results](../../../../../docs/api/vision_results/)
> > Return to`fastdeploy.vision.DetectionResult`Struct. For more details, please refer to [Vision Model Results](../../../../../docs/docs_en/api/vision_results/)
### Class Member Variables
@@ -80,4 +80,5 @@ Users can modify the following pre-processing parameters for their needs. This w
- [YOLOv7 Model Introduction](..)
- [YOLOv7 C++ Deployment](../cpp)
- [Vision Model Results](../../../../../docs_en/api/vision_results/)
- [Vision Model Results](../../../../../docs/docs_en/api/vision_results/)
- [how to change inference backend](../../../../../docs/docs_en/runtime/how_to_change_inference_backend.md)