# yolov7-Pyside6 Image and Video Inference with UI
View Chinese Version [here](https://github.com/SwimmingLiu/yolov7-Pyside6/blob/main/README-CN.md)
This project is based on [YOLOv7](https://github.com/WongKinYiu/yolov7) & [PyQt5-YOLOv5](https://github.com/Javacr/PyQt5-YOLOv5)
When the GUI is launched, it will automatically detect the presence of the [YOLOv7 models](https://github.com/WongKinYiu/yolov7/releases/) that were previously added to the "ptmodel" folder.
With this project, our aim was to offer end users quick inferences that would simplify their work. To achieve this, we focused on developing a lightweight and fast project that would meet their needs.
The system features:
OS : Windows 11
CPU : Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz 2.59 GHz
GPU : NVIDIA GeForce GTX 1660Ti 6GB
## Inferences on Image and Video
<img src="https://user-images.githubusercontent.com/53814462/218943807-1563fe4f-81b6-4148-89c3-71bedf5d2714.png" width="800"/><br/>
<img src="https://user-images.githubusercontent.com/53814462/218943813-17173906-1ee8-4293-90ab-bf1b11bf47a8.png" width="800"/><br/>
<img src="https://user-images.githubusercontent.com/53814462/218943823-bc03dadd-af32-43fb-a873-64741d8c9c6d.png" width="800"/><br/>
## Prepare
```bash
### create virtual env
conda create -n yolov7 python=3.9
### requirements
pip install -r requirements.txt
### Download related version Pytorch
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117
```
Download [Pytorch](https://pytorch.org/get-started/locally/)
## Run
```bash
python main.py
```
## Function
1. support image/video as input
2. change model
3. change IoU
4. change confidence
5. paly/pause/stop
6. show result
8. export detected image/video
## Demo Video
Check in [YOLOv7检测界面-Pyside6-GUI](https://www.bilibili.com/video/BV1oy4y1f7t1/?spm_id_from=333.999.0.0)
## Reference
- [WongKinYiu/yolov7](https://github.com/WongKinYiu/yolov7)
- [PyQt5-YOLOv5](https://github.com/Javacr/PyQt5-YOLOv5)
- [YOLOv7-Predict-with-UI](https://github.com/swiminggay/YOLOv7-Predict-with-UI)
- [Python Qt 简介](https://www.byhy.net/tut/py/gui/qt_01/)
## End
Please consider giving me a star if this project is helpful to you. ⭐⭐⭐
基于YOLOv7+Pyside6的GUI可视化界面检测图像和视频源码+说明文档.zip （89个子文件） 
code lib 
__init__.py 0B glo.py 428B __pycache__ __init__.cpython-39.pyc 134B __init__.cpython-310.pyc 136B glo.cpython-39.pyc 547B glo.cpython-310.pyc 545B apprcc_rc.py 548KB 史伟铭-Portrait.ico 50KB main.py 368B utils __init__.py 6B google_utils.py 5KB loss.py 75KB metrics.py 9KB aws __init__.py 5B userdata.sh 1KB mime.sh 806B resume.py 1KB autoanchor.py 7KB general.py 37KB wandb_logging __init__.py 6B log_dataset.py 839B wandb_utils.py 16KB activations.py 2KB google_app_engine Dockerfile 846B app.yaml 185B
additional_requirements.txt 109B plots.py 21KB datasets.py 56KB __pycache__ plots.cpython-310.pyc 18KB google_utils.cpython-310.pyc 3KB datasets.cpython-39.pyc 40KB general.cpython-310.pyc 27KB plots.cpython-39.pyc 18KB torch_utils.cpython-310.pyc 13KB general.cpython-39.pyc 27KB google_utils.cpython-39.pyc 3KB __init__.cpython-39.pyc 136B __init__.cpython-310.pyc 138B torch_utils.cpython-39.pyc 13KB metrics.cpython-39.pyc 8KB loss.cpython-39.pyc 38KB autoanchor.cpython-39.pyc 6KB metrics.cpython-310.pyc 8KB datasets.cpython-310.pyc 40KB torch_utils.py 15KB add_nms.py 6KB img icons 
folder.png 7KB stop-button.png 9KB square.png 6KB up-arrow.png 2KB search-data.png 25KB minus-square-outlined-button.png 3KB down-arrow.png 2KB circle.png 22KB reduce.png 6KB recognition.png 14KB play-button.png 9KB close.png 9KB full-moon.png 19KB export.png 10KB scanner.png 23KB pause.png 10KB import.png 9KB 下拉.png 2KB swimming.png 5KB apprcc.qrc 728B ptmodel best.pt 71.35MB yolov7.pt 72.09MB requirements.txt 954B recognizition.py 11KB models __init__.py 6B common.py 84KB experimental.py 11KB __pycache__ yolo.cpython-39.pyc 28KB experimental.cpython-39.pyc 10KB experimental.cpython-310.pyc 10KB common.cpython-310.pyc 64KB __init__.cpython-39.pyc 137B __init__.cpython-310.pyc 139B common.cpython-39.pyc 69KB yolo.py 40KB YoloClass.py 10KB MouseLabel.py 644B README-CN.md 2KB ui main.ui 48KB README.md 2KB fonts ygyxsziti2.0.ttf 1.76MB ChanYuZhenYanJinGe-2.ttf 5.66MB cudatest.py 2KB资源评论
