deepstack-ui

UI for working with Deepstack. Allows uploading an image and performing object detection or face recognition with Deepstack. Also faces can be registered with Deepstack. The effect of various parameters can be explored, including filtering objects by confidence, type and location in the image.

Run deepstack

Run deepstack object detection:

docker run -e VISION-DETECTION=True -p 80:5000 deepquestai/deepstack:latest

You will need the ip address of the machine running deepstack, which in my case is 192.168.1.133.

Run deepstack-ui with Docker

The deepstack-ui is designed to be run in a docker container. The UI picks up the information about your deepstack instance from environment variables which are passed into the container using the -e VARIABLE=value approach. All environment variables that can be passed are listed below:

- DEEPSTACK_IP : the IP address of your deepstack instance, default "localhost"
- DEEPSTACK_PORT : the PORT of your deepstack instance, default 80
- DEEPSTACK_API_KEY : the API key of your deepstack instance, if you have set one
- DEEPSTACK_TIMEOUT : the timeout to wait for deepstack, default 30 seconds
- DEEPSTACK_CUSTOM_MODEL : the name of a custom model, if you wish to use one

From the root dir, build the deepstack-ui container from source and then run the UI, passing the DEEPSTACK_IP environment variable:

    docker build -t deepstack-ui .
    OR
    docker pull robmarkcole/deepstack-ui:latest

    docker run -p 8501:8501 -e DEEPSTACK_IP='192.168.1.133' deepstack-ui

The UI is now viewable at http://localhost:8501 (not whatever ip address is shown in the logs, this is the internal docker ip)

Alternatively if you are running deepstack with non default parameters, an example would be:

docker run -p 8501:8501 \
-e DEEPSTACK_IP='192.168.1.133' \
-e DEEPSTACK_PORT=80 \
-e DEEPSTACK_TIMEOUT=20 \
-e DEEPSTACK_CUSTOM_MODEL=mask \
deepstack-ui

FAQ

Q1: I get the error: TypeError: cannot unpack non-iterable DeepstackException object

A1: You probably didn't pass the required environment variables (DEEPSTACK_IP etc.)

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Development

• Create and activate a venv: python3 -m venv venv and source venv/bin/activate
• Install requirements: pip3 install -r requirements.txt
• Export required environment variables: export DEEPSTACK_CUSTOM_MODEL='mask'
• Run streamlit from app folder: streamlit run deepstack-ui.py