Adblu's repositories
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛
A-Quick-and-Simple-Pytorch-Tutorial
This repo will contain simple tutorials for getting familiar with Pytorch quickly for beginners.
Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
cameratransform
cameratransform is a python package which can be used to fit camera transformations and apply them to project points from the camera space to the world space and back.
DarkLighter
Code and demo videos of DarkLighter---a low-light enhancer towards facilitating UAV tracking in the dark.
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)
FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
gaze-data-collection
collect training and calibration data for gaze tracking
HID
Bring enhanced HID functions to your Arduino!
jetson_nano
This repository is a collection of scripts/programs I use to set up the software development environment on my Jetson Nano, TX2, and Xavier NX.
jetson_yolov5_tensorrt
Docker image and wrapper for converting and inference YOLO-v5 model
Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
python-mastery
Advanced Python Mastery (course by @dabeaz)
sahi
A lightweight vision library for performing large scale object detection/ instance segmentation.
SP_VSB
Repository for Driver Analysis Using Spherical Cameras
tensorrt_demos
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
UniTrack
Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
yolov4_crowdhuman
A tutorial on training a DarkNet YOLOv4 model for the CrowdHuman dataset
Yolov5_DeepSort_Pytorch
Real-time multi-object tracker using YOLO v5 and deep sort