# YOLO Streamlit Dashbord
Display predicted Video, Images and webcam using YOLO models (**YOLOv7** & **YOLOv8**) with Streamlit
### Sample Streamlit YOLO Dashboard
Streamlit Dashboard: https://naseemap47-streamlit-yolo-app-v7gbfg.streamlit.app/
## Docker
dockerhub: https://hub.docker.com/repository/docker/naseemap47/streamlit-yolo
#### 1. Pull Docker Image
```
docker pull naseemap47/streamlit-yolo
```
#### 2. Change permistion
```
sudo xhost +si:localuser:root
```
#### 3. RUN Docker Image
```
docker run --gpus all -e DISPLAY=$DISPLAY -v /tmp/.X11-unix/:/tmp/.X11-unix --ipc=host --device=/dev/video0:/dev/video0 -p 8502 -it --rm naseemap47/streamlit-yolo
```
## ���� New Update (10/02/2023)
Integrated new YOLOv8 model, now you can run YOLOv8 model on RTSP, Webcam, Video and Image
## Streamlit Options
### Modes
- RTSP
- Webcam
- Video
- Image
## Sample Streamlit Dashboard Output
[out.webm](https://user-images.githubusercontent.com/88816150/193816239-b351c3d6-1d9a-4820-87b5-0cfec1ad5d90.webm)
## StepUp
```
git clone https://github.com/naseemap47/streamlit-yolo.git
cd streamlit-yolo
```
Install dependency
```
pip3 install -r requirements.txt
```
Run **Streamlit**
```
streamlit run app.py
```
yolov8系列--Display predicted Video, Images and webcam using.zip
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2024-02-24
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yolov8系列--Display predicted Video, Images and webcam using.zip （69个子文件） 
kwan1120 
test.mp4 1.16MB
model_utils.py 4KB .github workflows docker-image.yml 756B people.jpeg 27KB app.py 6KB LICENSE 1KB utils __init__.py 6B google_utils.py 5KB loss.py 73KB metrics.py 9KB aws __init__.py 5B userdata.sh 1KB mime.sh 780B resume.py 1KB autoanchor.py 7KB hubconf.py 4KB general.py 36KB wandb_logging __init__.py 6B log_dataset.py 815B wandb_utils.py 16KB activations.py 2KB google_app_engine Dockerfile 821B app.yaml 172B
additional_requirements.txt 105B requirements.txt 950B plots.py 20KB datasets.py 55KB __pycache__ hubconf.cpython-38.pyc 3KB hubconf.cpython-37.pyc 3KB metrics.cpython-38.pyc 7KB torch_utils.cpython-38.pyc 13KB general.cpython-37.pyc 27KB datasets.cpython-38.pyc 40KB plots.cpython-37.pyc 18KB google_utils.cpython-38.pyc 3KB loss.cpython-38.pyc 38KB datasets.cpython-37.pyc 40KB autoanchor.cpython-37.pyc 6KB google_utils.cpython-37.pyc 3KB metrics.cpython-37.pyc 8KB general.cpython-38.pyc 27KB torch_utils.cpython-37.pyc 13KB __init__.cpython-37.pyc 209B autoanchor.cpython-38.pyc 6KB loss.cpython-37.pyc 41KB __init__.cpython-38.pyc 149B plots.cpython-38.pyc 17KB torch_utils.py 15KB add_nms.py 5KB Dockerfile 335B requirements.txt 154B
logo.jpg 101KB models __init__.py 6B common.py 82KB experimental.py 10KB __pycache__ experimental.cpython-38.pyc 9KB yolo.cpython-37.pyc 29KB experimental.cpython-37.pyc 10KB __init__.cpython-37.pyc 210B common.cpython-37.pyc 75KB common.cpython-38.pyc 70KB yolo.cpython-38.pyc 27KB __init__.cpython-38.pyc 150B yolo.py 38KB .gitignore 2KB packages.txt 107B yolov8.pt 6.23MB yolov7.pt 72.09MB README.md 1KB资源评论
