https://github.com/robmarkcole/object-detection-app

Simple object detection app with streamlit
https://github.com/robmarkcole/object-detection-app

ai object-detection opencv streamlit

Last synced: about 1 month ago
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Simple object detection app with streamlit

• Host: GitHub
• URL: https://github.com/robmarkcole/object-detection-app
• Owner: robmarkcole
• License: apache-2.0
• Created: 2019-12-23T08:24:15.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-10-12T23:11:10.000Z (over 3 years ago)
• Last Synced: 2024-12-24T20:01:55.524Z (about 1 month ago)
• Topics: ai, object-detection, opencv, streamlit
• Language: Python
• Homepage: https://streamlit.io/
• Size: 20.6 MB
• Stars: 105
• Watchers: 4
• Forks: 52
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# object-detection-app

Simple object detection app with streamlit. Upload an image and perform object detection. Adjust the confidence threshold to see how this affects predictions.







## Run with Docker

From the root dir:

```

    docker build -t robmarkcole/object-detection-app .

    docker run -p 8501:8501 robmarkcole/object-detection-app:latest

```

Then visit [localhost:8501](http://localhost:8501/)

## Development

Using [devcontainer](https://code.visualstudio.com/docs/remote/containers), see basic python [example repo](https://github.com/microsoft/vscode-remote-try-python) and [more advanced repo](https://github.com/microsoft/python-sample-tweeterapp). Use [this streamlit docker template](https://github.com/MrTomerLevi/streamlit-docker). Note you cannot docker run at the same time as the devcontainer as the ports clash.

## References

I took a lot of inspiration from [this article](https://www.pyimagesearch.com/2017/09/11/object-detection-with-deep-learning-and-opencv/) by Adrian Rosebrock.