1.7 KiB
1.7 KiB
TensorBird
A project aiming to perform auto identification of bird species from pictures taken by PiCameraTrap using machine learning.
Inspiration
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
Launch Jupyter
jupyter notebook
Run TF Lite
Trouble shooting
For tensorflow Lite to work on virtual env, we have to install the following package.
sudo apt install libatlas-base-dev