ck2w / AdvancedPython2021

This repo hosts the codes for our course project for DS-GA 3001 Advanced Python for Data Science @ NYU.

AdvancedPython2021

This repo hosts our codes for Advanced Python for Data Science (Spring 2021). Our goals are two-folded. First, to detect the human faces within a video and apply filter effects on them. Second, we would like to accelerate this process as much as possible using techniques including:

• Cython
• Scipy Convolution Operations
• Numba
• Multiprocessing
• CUDA Programming

The repo is structured as the following:

• All of our solutions are organized in final_submission.ipynb with detailed documentation. We developed our solution in Google Colab. The line_profiler.ipynb profiles runtime of different part of our solutions.
• The data folder contains videos for testing and generated from our algorithms.
• The results folder contains the results of our experiments comparing our solutions.

For our face detection task, we acknowledge two GitHub projects:

• Tim Esler's implementation of MTCNN in PyTorch: https://github.com/timesler/facenet-pytorch
• Adam Geitgey 's implementation of several trained face detection models, which are often more efficient for CPUs: https://github.com/ageitgey/face_recognition