Notebooks using the Edge Impulse libraries
- 01 - Collect data from your development kit
- 02 - Object counting on device using a FOMO model
- 03 - Generating a Keyword dataset using Google Text to Speech
- 03 - Use OpenAI Dall-E to generate an image dataset for image classification
- 04 - Use PyBullet to generate a physics simulation based dataset
- 05 - How to Customize and Run the AutoML EON Tuner Programmatically
This repo uses pipenv
to maintain a virtual development environment, therefore, it requires python
3.9 and pip
to be installed in your development machine.
This will install pipenv and all the virtual environment dependencies
bash scripts/setup.sh
Pre-commit hooks must be run from the virtual development environment:
pipenv run pre-commit run --all-files