object-detection-app

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object-detection-app

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Simple object detection app with streamlit

// repository documentation

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# 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.

object-detection-app

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