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https://github.com/Monday-Leo/YOLOv7_Tensorrt
A simple implementation of Tensorrt YOLOv7
https://github.com/Monday-Leo/YOLOv7_Tensorrt
deployment python tensorrt yolov7
Last synced: 3 months ago
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A simple implementation of Tensorrt YOLOv7
- Host: GitHub
- URL: https://github.com/Monday-Leo/YOLOv7_Tensorrt
- Owner: Monday-Leo
- Created: 2022-07-07T11:10:42.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2022-07-09T15:55:35.000Z (over 2 years ago)
- Last Synced: 2024-06-16T14:33:06.225Z (5 months ago)
- Topics: deployment, python, tensorrt, yolov7
- Language: Python
- Homepage:
- Size: 2.18 MB
- Stars: 108
- Watchers: 4
- Forks: 15
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
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README
## B站教学视频
https://www.bilibili.com/video/BV1q34y1n7Bw/
## Introduction
**YOLOv7**是YOLOv4的原班人马(**Alexey Bochkovskiy**在内)创造的目标检测模型，在保证精度的同时大幅降低了参数量，本仓库实现**YOLOv7的tensorrt部署**。
## Environment
- Tensorrt 8.4.1.5
- Cuda 10.2 Cudnn 8.4.1
- onnx 1.12.0
- onnx-simplifier 0.3.10
- Torch 1.7.1
## Benchmark
| Model | Size | mAPtest 0.5:0.95 | GTX1650 FP16(ms) | GTX1650 FP32(ms) |
| :---------: | :--: | :-------------------------: | :--------------: | :--------------: |
| YOLOv7-tiny | 640 | 38.7 | 8.7 | 11.6 |
| YOLOv7 | 640 | 51.4 | 27.2 | 47.5 |
| YOLOv7-X | 640 | 53.1 | 44.2 | 82.9 |
说明：此处FP16,fp32预测时间包含**preprocess+inference+nms**，测速方法为warmup10次，预测100次取平均值，并未使用trtexec测速，与官方测速不同；mAPval为原始模型精度，转换后精度未测试。
## Quick Start
下载**YOLOv7**仓库。
```
git clone https://github.com/WongKinYiu/yolov7
```
将本仓库的**EfficientNMS.py**和**export_onnx.py**复制到**yolov7**下，导出含有EfficientNMS的ONNX模型。
```
python export_onnx.py --weights ./weights/yolov7.pt
```
将生成的**onnx**模型复制到**tensorrt/bin**文件夹下，使用官方**trtexec**转化添加完EfficientNMS的onnx模型。**FP32预测删除`--fp16`参数即可**。
```
trtexec --onnx=./yolov7.onnx --saveEngine=./yolov7_fp16.engine --fp16 --workspace=200
```
等待生成序列化模型后，修改本仓库**infer.py模型路径和图片路径**。
```
trt_engine = TRT_engine("./trt_model/yolov7_fp16.engine")
img1 = cv2.imread("./pictures/zidane.jpg")
```
```
python infer.py
```
## Reference
https://github.com/WongKinYiu/yolov7
https://github.com/ultralytics/yolov5
https://github.com/Linaom1214/tensorrt-python
https://github.com/triple-Mu