Pinned Repositories
awesome-bits
:computer: A curated list of awesome bitwise operations and tricks
Awesome-CS-Books
:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档
awesome-footy
A bundle of Computer Vision / Deep Learning papers with code implementations applied to football data analysis.
Awesome-Person-Re-Identification
Awesome Person Re-Identification
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
bepro_pjt
video texture mapping
bgslibrary
A background subtraction library
deep-learning-all
dlib-mrcnn-tracking
vehicle-detection
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
dimahwang88's Repositories
dimahwang88/awesome-footy
A bundle of Computer Vision / Deep Learning papers with code implementations applied to football data analysis.
dimahwang88/dlib-mrcnn-tracking
dimahwang88/Awesome-Person-Re-Identification
Awesome Person Re-Identification
dimahwang88/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
dimahwang88/cascadercnn-train-gcp
dimahwang88/CenterTrack
Simultaneous object detection and tracking using center points.
dimahwang88/ColorConsistency
Global optimization on the color consistency across multiple images. /C++/
dimahwang88/concurrentqueue
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
dimahwang88/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
dimahwang88/CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
dimahwang88/Data-Science-EBooks
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
dimahwang88/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
dimahwang88/DEFT
Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.
dimahwang88/gps_convert
dimahwang88/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
dimahwang88/gym
A toolkit for developing and comparing reinforcement learning algorithms.
dimahwang88/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
dimahwang88/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
dimahwang88/mmdetection
Open MMLab Detection Toolbox and Benchmark
dimahwang88/mmdetection-multigpu-train
dimahwang88/MOT
A collection of latest state-of-the-art MOT (Multiple Object Tracking) papers with code implementations.
dimahwang88/online_calib
dimahwang88/opencv
Open Source Computer Vision Library
dimahwang88/pl-mlf
Pytorch Lightning + MLFlow
dimahwang88/py-mcftracker
Python implementation of multi-object tracking using min-cost flow
dimahwang88/pytorch-beginner
pytorch tutorial for beginners
dimahwang88/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
dimahwang88/required-activity-25.3
Final submission for Professional Certificate in Machine Learning & Artificial Intelligence
dimahwang88/sportsfield_release
Code release for WACV 2020, "Optimizing Through Learned Errors for Accurate Sports Field Registration"
dimahwang88/TrackEval
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).