https://github.com/m0hc3n/happy-or-sad-detection-deep-learning-model

This is a simple deep learning model to detect whether a person is happy or sad.
https://github.com/m0hc3n/happy-or-sad-detection-deep-learning-model

body-recognition convolutions deep-learning deep-neural-networks face-recognition-opencv

Last synced: about 2 months ago
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This is a simple deep learning model to detect whether a person is happy or sad.

• Host: GitHub
• URL: https://github.com/m0hc3n/happy-or-sad-detection-deep-learning-model
• Owner: M0hc3n
• Created: 2023-02-18T18:36:05.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-18T18:58:16.000Z (almost 2 years ago)
• Last Synced: 2024-10-20T13:23:07.768Z (3 months ago)
• Topics: body-recognition, convolutions, deep-learning, deep-neural-networks, face-recognition-opencv
• Language: Jupyter Notebook
• Homepage:
• Size: 9.88 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Happy-Or-Sad-Detection-Deep-Learning-Model

This is a simple deep learning model to detect whether a person is happy or sad.  

## Data Collection

the data used was retrieved from the web using a great extention called Download All Images.

 The result can be found on /data folder.

 

 ## Installation 

 #### setting a Python virtual environment : ```py -m venv env```

 #### install required dependencies : ```pip install jupyter jupyter-server tensorflow opencv-python matplotlib```

 #### run the virtual environment : ```.\env\Scripts\activate```

 #### pop up the jupyter lab : ```jupyter notebook```

 #### deactivating the virtual environment: ```deactivate```

 

 

 ## Idea

 The idea was inspired from Nicholas Renotte's video. Please check his youtube channel, it is greatly enriching in many domains (Data Science, Computer Vision, DL, ML ...)