include link to other trainable models on google drive
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README.md
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README.md
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# Project for the subject of computer vision
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# Emotion Recognition in Real Time using CNN
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## Task
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## Task
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The goal of the project is to create a system that recognizes emotions in real time.
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The goal of the project is to create a system that recognizes emotions in real time.
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## Start system
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## Ready to work application
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To run the project simply execute the following commands in the root directory:
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- unpack input.zip file
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- unpack input.zip file
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- <code> pip install -r < requirements.txt <code>>
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- `pip install -r < requirements.txt`
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- <code>python project.py</code>
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- `python project.py`
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## Train and use model
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## Training Models
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To train our winning model:
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- go to Google Colab
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- go to Google Colab
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- import and run `modelTrainer.ipynb` file
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- import and run `modelTrainer.ipynb` file
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- copy `model.json` and `model_weights.h5` to `input` dir
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- copy `model.json` and `model_weights.h5` to `input` dir
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- run: <code>python project.py</code>
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- run: `python project.py`
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To train other models we've researched for this project:
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- visit https://drive.google.com/drive/folders/1jvm6o9fhMSMQubyOVV4_qzuqaFgQs__8?usp=sharing
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- either download the directory you find interesting and run it locally
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- or copy the directory to your Google Drive run the code using Google Colab
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