| Wildlife Watcher Data Tools |
|---|
Tools and scripts for manipulating the wildlife AI camera data to analyse the footage, create your own models and transfer them to the cameras. |
| This repository contains good tools for formatting data for the Weta Watcher project. |
Typically you would want to use this package if you: |
| - Want to create datasets from videos captured using camera traps |
| - Annotate your dataset |
|
| ========== |
| Installing |
Clone this repo and install it using
pip install <path-to-repo>
You can either use the actions using python functions in scripts or notebooks or run actions using our CLI.
| Actions |
|---|
Supported actions: |
| - filter_empty_videos: Removes videos where no movement occurs. |
| - create_dataset: Creates a dataset in FiftyOne. |
| - show_dataset: Launch FiftyOne App where dataset can be inspected. |
| - list_datasets: List your datasets. |
| - create_annotation_job: Send dataset to CVAT for annotation. |
| - read_annotations: Read annotations from CVAT back to FiftyOne. |
| - preprocess_dataset: Process dataset to given FPS and size. |
| - export_dataset: Export dataset to disk in either a FiftyOne format or Edge Impulse. |
|
All actions can be found at src/wai_data_tools_actions.py |
| ===== |
| CLI |
To check out the CLI install the package and run the following in your terminal to get started:
wildlifeai-cli --help
This project has been set up using PyScaffold 4.2.1. For details and usage information on PyScaffold see https://pyscaffold.org/.
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