Plant Recognition Using Tensor Flow Object Detection Models

Model has been trained to recognize a variety of flowers. Currently recognizes Sunflowers, Daisies, and Roses. Below is an example.

Adapted from Nicholas Renotte's 5-hour Youtube course on Tensor Flow object recognition. Course focused on teaching hand gestures, adapted it to recognize a variety of plants.

Currently image recognition requires the image to have a respective labelimg file.

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Resources: https://www.youtube.com/watch?v=yqkISICHH-U&ab_channel=NicholasRenotte

Coding Requirements:

Python 3.8 or higher Tensor Flow --upgrade (2.3 currently) Protobuf matplotlib==3.2 Numpy 1.20.0

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Steps

Step 1. Create a new virtual environment inside of your respective directory

python -m venv tfod

Step 2. Activate your virtual environment

source tfod/bin/activate # Linux
.\tfod\Scripts\activate # Windows 

Step 3. Install dependencies and add virtual environment to the Python Kernel

python -m pip install --upgrade pip
pip install ipykernel
python -m ipykernel install --user --name=tfodj

Step 4. Assuming images have been collected, run Plantify.ipynb, which will itself run the intialization needed through Detector.ipynb.
Step 5. Your image will be saved in the same directory.