Pinned Repositories
AICITY2021_Track2_DMT
The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.
AICITY2022-Track1-MTMC
Official codes of the first place for AICity 2022 Track 1
computer-vision-in-action
学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
Computer-vision-tracking-and-localisation
cython_bbox
standalone cython_bbox borrowed from faster-rcnn
FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
FairMOTVehicle
A fork of FairMOT used to do vehicle MOT.用于跟踪车辆的多目标跟踪, 自定义数据进行单类别多目标实时跟踪
Math_Model
数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法
MCMOT
Ultra-light-Vehicle-Detection-using-Tiny-Mobilenet-SSD-real-time-on-CPU
Real time vehicle detection (30 FPS on intel i7-8700 CPU) using Tiny-Mobilenet V2, SSD and Receptor Field Block.
Statu11's Repositories
Statu11/Ultra-light-Vehicle-Detection-using-Tiny-Mobilenet-SSD-real-time-on-CPU
Real time vehicle detection (30 FPS on intel i7-8700 CPU) using Tiny-Mobilenet V2, SSD and Receptor Field Block.
Statu11/AICITY2021_Track2_DMT
The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.
Statu11/AICITY2022-Track1-MTMC
Official codes of the first place for AICity 2022 Track 1
Statu11/computer-vision-in-action
学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
Statu11/Computer-vision-tracking-and-localisation
Statu11/cython_bbox
standalone cython_bbox borrowed from faster-rcnn
Statu11/FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
Statu11/FairMOTVehicle
A fork of FairMOT used to do vehicle MOT.用于跟踪车辆的多目标跟踪, 自定义数据进行单类别多目标实时跟踪
Statu11/Math_Model
数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法
Statu11/MCMOT
Statu11/mctracker
A multi camera tracker based on homography and costs.
Statu11/object-detection
In this notebook, we will learn how we can find an object in an input image using template matching. We will also explore how the homography matrix can help address the template matching algorithm’s limitations by warping the image to achieve similar scales and orientations for the objects.
Statu11/object-detection-and-ReID
Statu11/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Statu11/PERS-grant-tracking-vehicles
Statu11/PlatEMO
Evolutionary multi-objective optimization platform
Statu11/reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Statu11/speed-camera
A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync script. watch-app
Statu11/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Statu11/vehicle-detection
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Statu11/Vehicle-Detection-and-Tracking
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
Statu11/vehicle_counting_tensorflow
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
Statu11/Vehicle_reID-Collection
:red_car: the collection of vehicle re-ID papers, datasets. :red_car:
Statu11/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Statu11/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors