Depression Asisstant GDSC Challenge Solution

Last update: Jan 30, 2022

Overview

Depression Asisstant GDSC Challenge Solution

Depression Asisstant is software can help you give solution.

Developed by: Tech Futuristic Team GDSC Challenge Solution (Hars Sharma,Arunima Chatterjee,Ananda Rauf Maududi,and Mouna Aneddame) Developed date: 26 January 2022.

Result Face Emotion or Face Expression:

Contribute?

Requirement:

Python version 3.9.5, download at: https://wwww.python.org
Text editor / IDE : Visual Studio Code, download at: https://code.visualstudio.com/ https://visualstudio.microsoft.com
Plugin extension : Python, download at Visual Studio Code.
Library package deepface: tutorial deepface at:https://github.com/serengil/deepface
How to install library?: open cmd, and then typing pip install name library.
Setting your env variable in path system and user: path/python395,path/python395/Lib, and path/python395/Lib/Scripts.

How to use?:

Open CMD, and then typing py name_script_program.py or python name_script_program.py

Owner

Ananda Rauf

University Bina Sarana Informatika Jatiwaringin Indonesia . Owner/Founder Retailpedia and Glory Nation Inc . Technology Enthusiast.

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Depression Asisstant GDSC Challenge Solution

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Overview

Depression Asisstant GDSC Challenge Solution

Owner

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Depression Asisstant GDSC Challenge Solution

Related tags

Overview

Depression Asisstant GDSC Challenge Solution

Owner

Ananda Rauf

[IJCAI'21] Deep Automatic Natural Image Matting

1st Solution For NeurIPS 2021 Competition on ML4CO Dual Task

A python-image-classification web application project, written in Python and served through the Flask Microframework

Compact Bilinear Pooling for PyTorch

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code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

This is an (re-)implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation on the PASCAL VOC dataset.

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