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|Samuel ORTION f808c7854b||2 years ago|
|data||2 years ago|
|img||2 years ago|
|models||2 years ago|
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|README.md||2 years ago|
A project aiming to perform auto identification of bird species from pictures taken by PiCameraTrap using machine learning.
I have been inprired by following ressource :
- darenjhsu birdid repository
- This A.I. Birdwatcher Lets You ‘See’ Through the Eyes of a Machine
- Is Machine Learning for the Birds?
- Image Classification of bird species using deep learning with PyTorch, Captum and ONNX
- Github Repository of previous article
Environmnent Set Up
Create and Activate virtual env
python -m venv tb-venv source tb-venv/bin/activate
Install Tensorflow in container
docker pull tensorflow/tensorflow:latest # Download latest stable image docker run -it -p 8888:8888 tensorflow/tensorflow:latest-jupyter # Start Jupyter server
Install Tensorflow using pip
python -m pip install tensorflow
Launch Jupyter Notebook
Make the virtual env accessible from Jupyter Notebook
pip install ipykernel python -m ipykernel install --user --name=tb-venv
Run TF Lite
For tensorflow Lite to work on virtual env, we have to install the following package.
sudo apt install libatlas-base-dev