# 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. ⭐⭐⭐
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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
共89个文件
py:28个
pyc:27个
png:19个
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1、资源内容:基于YOLOv7+Pyside6的GUI可视化界面检测图像和视频源码+说明文档(高分项目).rar 2、适用人群:计算机,电子信息工程、数学等专业的大学生课程设计、期末大作业或毕业设计,作为“参考资料”使用。 3、更多仿真源码和数据集下载列表(自行寻找自己需要的):https://blog.csdn.net/m0_62143653?type=download 4、免责声明:本资源作为“参考资料”而不是“定制需求”不一定能够满足所有人的需求,需要有一定的基础能够看懂代码,能够自行调试,能够自行添加功能修改代码。由于作者大厂工作较忙,不提供答疑服务,如不存在资源缺失问题概不负责,谢谢理解。
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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
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app.yaml 185B
additional_requirements.txt 109B
plots.py 21KB
datasets.py 56KB
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__init__.cpython-310.pyc 138B
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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
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