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iExam: Leveraging Face Recognition for Online Exam Monitoring and Analysis

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iExam

create a new directory using: mkdir dir_name
cd dir_name
git clone https://github.com/VPRLab/iExam.git
install virtualenv: pip install virtualenv
create loacl virtual environment: virtualenv env
activate local environment
cd iExam
install all packages: pip install -r requirements.txt
After installing the necessary packages, you can run iExam via: python3 core_os_version.py
Details for different platforms shown below

Requirments:

  • % student roster (first name + surname), file format is txt
  • % 5-min training video (manually clip a video segment before exam)
  • % online exam testing video

Install on Mac

install virtualenv: pip install virtualenv
create loacl virtual environment: virtualenv env
go to the path /env/bin, activate env using: source activate

  • % pip install PyQt5

  • % pip install opencv-python

  • % pip install pytesseract

  • % pip install torch

  • % pip install torchvision

  • % pip install matplotlib

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