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README.md

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# BEEIA Model
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![poster](mdfile\Poster.png)
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![poster](mdfile/Poster.png)
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Those file are available on this shared drive, I advice you make a local copy of it so you can work on your own.
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- Copy the google colab [file](https://colab.research.google.com/drive/1e9s61mfkgQniunoi6vBFMDGelnq9SALP/) and create your own so you can add your modifications. The file is also present [in the notebook folder](notebook\all_in_one.ipynb)
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- Copy the google colab [file](https://colab.research.google.com/drive/1e9s61mfkgQniunoi6vBFMDGelnq9SALP/) and create your own so you can add your modifications. The file is also present [in the notebook folder](notebook/all_in_one.ipynb)
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Please refer to the comments on the colab file to get the hang of it there.
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To create the records (you can skip this part as the results are in the data folder), the output should be a **pascalvoc_training.record** file :
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- [Google Colab](https://colab.research.google.com/drive/1ACZeaWkk7UBG8y1MIHnkmm-1YUf68IrR)
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- [Notebook folder](notebook\dataset_creation.ipynb)
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- [Notebook folder](notebook/dataset_creation.ipynb)
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### Train the model
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To start training on the models, the output should be a folder called **inference graph** :
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- [Google Colab](https://colab.research.google.com/drive/1A-fo0Yrn7MfdwtV3DDna31lPjv2N119R)
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- [Notebook folder](notebook\train.ipynb)
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- [Notebook folder](notebook/train.ipynb)
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### Convert into Tflite
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To convert the obtained model (works only with SSD models), the output should be a **model.tflite** file :
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- [Google Colab](https://colab.research.google.com/drive/17j7pLSozdRq2sO708hDkKVXDKzqiOXUX)
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- [Notebook folder](notebook\convert_tflite.ipynb)
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- [Notebook folder](notebook/convert_tflite.ipynb)
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## Testing
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RNN model prediction
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![rnn](mdfile\Annotation.png)
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![rnn](mdfile/Annotation.png)
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SSD model prediction
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![ssd](mdfile\beeia_pic.jpg)
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![ssd](mdfile/beeia_pic.jpg)
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## Future evolutions

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