scoutbot 0.1.17

The computer vision for Wild Me's Scout project

Quick Links

• 1 How to Install

• 2 How to Run

• 3 How to Build and Deploy

  • 3.1 Docker Hub

  • 3.2 PyPI

• 4 Tests and Coverage

• 5 Building Documentation

• 6 Logging

• 7 Code Formatting

1 How to Install

pip install scoutbot

or, from source:

git clone https://github.com/WildMeOrg/scoutbot
cd scoutbot
pip install -e .

To then add GPU acceleration, you need to replace onnxruntime with onnxruntime-gpu:

pip uninstall -y onnxruntime
pip install onnxruntime-gpu

2 How to Run

You can run the tile-based Gradio demo with:

python app.py

or, you can run the image-based Gradio demo with:

python app2.py

To run with Docker:

docker run \
   -it \
   --rm \
   -p 7860:7860 \
   -e CONFIG=phase1 \
   -e WIC_BATCH_SIZE=512 \
   --gpus all \
   --name scoutbot \
   wildme/scoutbot:main \
   python3 app2.py

To run with Docker Compose:

version: "3"

services:
  scoutbot:
    image: wildme/scoutbot:main
    command: python3 app2.py
    ports:
      - "7860:7860"
    environment:
      CONFIG: phase1
      WIC_BATCH_SIZE: 512
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              device_ids: ["all"]
              capabilities: [gpu]

and run docker compose up -d.

3 How to Build and Deploy

3.1 Docker Hub

The application can also be built into a Docker image and is hosted on Docker Hub as wildme/scoutbot:latest. Any time the main branch is updated or a tagged release is made (see the PyPI instructions below), an automated GitHub CD action will build and deploy the newest image to Docker Hub automatically.

To do this manually, use the code below:

docker login

export DOCKER_BUILDKIT=1
export DOCKER_CLI_EXPERIMENTAL=enabled
docker buildx create --name multi-arch-builder --use

docker buildx build \
    -t wildme/scoutbot:latest \
    --platform linux/amd64 \
    --push \
    .

3.2 PyPI

To upload the latest ScoutBot version to the Python Package Index (PyPI), follow the steps below:

1. Edit scoutbot/__init__.py:65 and set VERSION to the desired version

   VERSION = 'X.Y.Z'

2. Push any changes and version update to the main branch on GitHub and wait for CI tests to pass

   git pull origin main
   git commit -am "Release for Version X.Y.Z"
   git push origin main

3. Tag the main branch as a new release using the SemVer pattern (e.g., vX.Y.Z)

   git pull origin main
   git tag vX.Y.Z
   git push origin vX.Y.Z

4. Wait for the automated GitHub CD actions to build and push to PyPI and Docker Hub.

4 Tests and Coverage

You can run the automated tests in the tests/ folder by running:

pip install -r requirements.optional.txt
pytest

You may also get a coverage percentage by running:

coverage html

and open the coverage/html/index.html file in your browser.

5 Building Documentation

There is Sphinx documentation in the docs/ folder, which can be built by running:

cd docs/
pip install -r requirements.optional.txt
sphinx-build -M html . build/

6 Logging

The script uses Python’s built-in logging functionality called logging. All print functions are replaced with log.info(), which sends the output to two places:

1. the terminal window, and

2. the file scoutbot.log

7 Code Formatting

It’s recommended that you use pre-commit to ensure linting procedures are run on any code you write. See pre-commit.com for more information.

Reference pre-commit’s installation instructions for software installation on your OS/platform. After you have the software installed, run pre-commit install on the command line. Now every time you commit to this project’s code base the linter procedures will automatically run over the changed files. To run pre-commit on files preemtively from the command line use:

pip install -r requirements.optional.txt
pre-commit run --all-files

The code base has been formatted by Brunette, which is a fork and more configurable version of Black. Furthermore, try to conform to PEP8. You should set up your preferred editor to use flake8 as its Python linter, but pre-commit will ensure compliance before a git commit is completed. This will use the flake8 configuration within setup.cfg, which ignores several errors and stylistic considerations. See the setup.cfg file for a full and accurate listing of stylistic codes to ignore.