HoangKhoi's Projects
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
Abnormal Crowd Detection Implementation with Python
Implementation of Vehicle Re-Identification Based on Complementary Features for 2020 AICity Challenge Track2
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
A curated list of awesome computer vision resources
A curated list of references for MLOps
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
Car parts dataset for object detection and semantic segmentation tasks, provided by DSMLR lab, IT-KMITL.
Train YOLOv3 for Car Parts Detection
face detection
A fork of Centernet for Berkeley DeepDrive dataset
Evaluation of CNN for Smoke Detection
Scripts to manage COCO datasets
Complete-Life-Cycle-of-a-Data-Science-Project
The PyTorch Implementation based on YOLOv4 of the paper: Complex-YOLO: Real-time 3D Object Detection on Point Clouds
This project purpose is convert voc annotation xml file to yolo-darknet training file format
Convert Yolo-v4/v3/v2 .weights model to other models.
Pytorch implementation of CVPR2020 paper "Correlating Edge, Pose with Parsing"
List of Computer Science courses with video lectures.
data scrapping from youtube for classification
Cheat Sheets
PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625
A really more real-time adaptation of deep sort
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Unofficial Implementation of Detector-in-Detector: Multi-Level Analysis for Human-Parts in simplify form.
A High-Performance Pytorch Implementation of face detection models, including RetinaFace and DSFD
This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.
Implementation of "Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision" in PyTorch.