Popular GitHub Repositories for Algol 68

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

Implementation of PFLD For 68 Facial Landmarks By Pytorch

Code for ACL 2020 paper "Rigid Formats Controlled Text Generation"：https://www.aclweb.org/anthology/2020.acl-main.68/

This repository provides the face analysis by getting 68 Keypoints from the synthetic dataset published by Microsoft

Applying Bezier curves and 68 Face Landmarks to Map Left and Right Cheek Zones

To implement a toy car auto drive with Ti am68a/am62a/tda4vm. self-driving. autonomous.

The project aims to democratize access to information by enabling transparent and inclusive AI interactions.

The program can put 68 points on the face, especially on the mouth, nose and eyes. The points can be used to determine whether the person is smiling, sleepy or yawning

Facial Keypoint Detection using PyTorch and a modified VGG16 architecture. This project identifies 68 facial landmarks—covering eyes, nose, mouth, jawline, and eyebrows—on human faces. The model is trained on normalized keypoints with adaptive pooling, custom dataset handling, and transfer learning.