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README.md
deepstack-ui
UI for working with Deepstack. Allows uploading an image and performing object detection with Deepstack. The effect of various parameters can be explored, including filtering the classes of object detected, filtering by minimum confidence (%), and spatial filtering using a region of interest (ROI).
Run deepstack
Run deepstack object detection:
docker run \
-e VISION-DETECTION=True \
-v localstorage:/datastore \
-p 5000:5000 \
-e API-KEY="" \
--name deepstack \
deepquestai/deepstack:cpu-x3-beta
Alternatively if you have a GPU use the deepquestai/deepstack:gpu-x3-beta
image.
You will need the ip address of the machine running deepstack, which is passed to the Streamlit app.
Run with Docker
From the root dir, build from source:
docker build -t deepstack-ui .
docker run -p 8501:8501 -e DEEPSTACK_IP='192.168.1.133' deepstack-ui:latest
Alternatively run the pre-built image in daemon mode:
docker run -p 8501:8501 -e DEEPSTACK_IP='192.168.1.133' -d --name deepstack_ui robmarkcole/deepstack-ui:latest
Or 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=5000 \
-e DEEPSTACK_API_KEY='my_key' \
-e DEEPSTACK_TIMEOUT=20 \
robmarkcole/deepstack-ui:latest`
Then visit localhost:8501 (not whatever ip address is shown in the logs, this is the internal docker ip)
Above examples for using with docker-compose:
deepstack:
container_name: deepstack
restart: unless-stopped
image: deepquestai/deepstack:cpu-x3-beta
ports:
- '5000:5000'
environment:
- VISION-DETECTION=True
- API-KEY=""
volumes:
- /srv/docker/deepstack:/datastore
deepstack_ui:
container_name: deepstack_ui
restart: unless-stopped
image: robmarkcole/deepstack-ui:latest
environment:
- DEEPSTACK_IP=deepstack
- DEEPSTACK_PORT=5000
- DEEPSTACK_API_KEY=""
- DEEPSTACK_TIMEOUT=20
ports:
- '8501:8501'
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.)