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Output a .tf model trained to detect images of the object of your choice

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jlehrer1/quick_model

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Quick Model

Run from the command line and recieve a saved Tensorflow CNN trained to detect images of the object of your choice!

To make sure you have all required libraries, run

pip install -r requirements.txt

Or to set up the development environment,

conda env create --file environment.yml

Usage:

model.py <params file> <search term> <model write location>

Where params file is a file containing your Google Custom Search API Key and CX as so:

<KEY>
<CX>

Outputs a saved .tf model into model/

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Output a .tf model trained to detect images of the object of your choice

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