62 lines
1.7 KiB
Markdown
62 lines
1.7 KiB
Markdown
# TensorBird
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A project aiming to perform auto identification of bird species from pictures taken by [PiCameraTrap](https://forge.ortion.xyz/UncleSamulus/PiCameraTrap)
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using machine learning.
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## Inspiration
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I have been inprired by following ressource :
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* [darenjhsu birdid repository](https://github.com/darrenjhsu/birdid)
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* [This A.I. Birdwatcher Lets You ‘See’ Through the Eyes of a Machine](https://today.duke.edu/2019/10/ai-birdwatcher-lets-you-see-through-eyes-machine)
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* [Is Machine Learning for the Birds?](https://www.openhealthnews.com/story/2019-01-24/machine-learning-birds)
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* [Image Classification of bird species using deep learning with PyTorch, Captum and ONNX](https://towardsdatascience.com/adventures-in-pytorch-image-classification-with-caltech-birds-200-part-1-the-dataset-6e5433e9897c)
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* [Github Repository of previous article](https://github.com/ecm200/caltech_birds)
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## Environmnent Set Up
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### Create and Activate virtual env
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```bash
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python -m venv tb-venv
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source tb-venv/bin/activate
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```
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### Install Tensorflow in container
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```bash
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docker pull tensorflow/tensorflow:latest # Download latest stable image
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docker run -it -p 8888:8888 tensorflow/tensorflow:latest-jupyter # Start Jupyter server
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```
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### Install Tensorflow using pip
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```bash
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python -m pip install tensorflow
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```
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### Launch Jupyter Notebook
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#### Make the virtual env accessible from Jupyter Notebook
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```bash
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pip install ipykernel
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python -m ipykernel install --user --name=tb-venv
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```
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#### Launch Jupyter
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```bash
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jupyter notebook
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```
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## Run TF Lite
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### Trouble shooting
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For tensorflow Lite to work on virtual env, we have to install the following package.
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```bash
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sudo apt install libatlas-base-dev
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``` |