English | [简体中文](README_CN.md) # YOLOv7End2EndORT Ready-to-deploy Model The YOLOv7End2EndORT deployment is based on [YOLOv7](https://github.com/WongKinYiu/yolov7/tree/v0.1)branch code and [Pre-trained Model Based on COCO](https://github.com/WongKinYiu/yolov7/releases/tag/v0.1). Attention: YOLOv7End2EndORT is designed for the inference of exported End2End models in the [ORT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L87) version in YOLOv7. YOLOv7 class is for the inference of models without nms. YOLOv7End2EndTRT is for the inference of End2End models in the [TRT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L111) version. - (1)*.pt provided by [Official Repository](https://github.com/WongKinYiu/yolov7/releases/tag/v0.1) should [Export the ONNX Model](#Export-the-ONNX-Model) to complete the employment. The deployment of *.trt and *.pose models is not supported. - (2)The YOLOv7 model trained by personal data should [Export the ONNX Model](#%E5%AF%BC%E5%87%BAONNX%E6%A8%A1%E5%9E%8B). Refer to [Detailed Deployment Documents](#Detailed-Deployment-Documents) to complete the deployment. ## Export the ONNX Model ```bash # Download yolov7 model files wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt # Export files in onnx format with ORT_NMS (Tips: Corresponding to the code of YOLOv7 release v0.1) python export.py --weights yolov7.pt --grid --end2end --simplify --topk-all 100 --iou-thres 0.65 --conf-thres 0.35 --img-size 640 640 --max-wh 640 # The commands for exporting other models are similar Replace yolov7.pt with yolov7x.pt yolov7-d6.pt yolov7-w6.pt ... ``` ## Download the Pre-trained ONNX Model For developers' testing, models exported by YOLOv7End2EndORT are provided below. Developers can download them directly. (The accuracy in the following table is derived from the source official repository) | Model | Size | Accuracy | Note | |:---------------------------------------------------------------- |:----- |:----- |:----- | | [yolov7-end2end-ort-nms](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-end2end-ort-nms.onnx) | 141MB | 51.4% | This model file is sourced from [YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License | | [yolov7x-end2end-ort-nms](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7x-end2end-ort-nms.onnx) | 273MB | 53.1% | This model file is sourced from [YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License | | [yolov7-w6-end2end-ort-nms](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-w6-end2end-ort-nms.onnx) | 269MB | 54.9% | This model file is sourced from [YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License | | [yolov7-e6-end2end-ort-nms](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-e6-end2end-ort-nms.onnx) | 372MB | 56.0% | This model file is sourced from [YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License | | [yolov7-d6-end2end-ort-nms](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-d6-end2end-ort-nms.onnx) | 511MB | 56.6% | This model file is sourced from [YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License | | [yolov7-e6e-end2end-ort-nms](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-e6e-end2end-ort-nms.onnx) | 579MB | 56.8% | This model file is sourced from [YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License | ## Detailed Deployment Documents - [Python Deployment](python) - [C++ Deployment](cpp) ## Release Note - Document and code are based on [YOLOv7 0.1](https://github.com/WongKinYiu/yolov7/tree/v0.1)