guofenggitlearning

guofenggitlearning's Stars

• Sharpiless/yolox-deepsort

  基于YoloX目标检测+DeepSort算法实现多目标追踪Baseline

  Language:Python16732

• yuhuan-wu/MobileSal

  [IEEE TPAMI22] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]

  Language:Python6314

• dfayzur/garbage-object-detection

  A repository with the source code to train an object detection model on a small dataset of annotated trash related images. The annotated objects in this dataset are garbage containers, garbage bags and cardboard.

  Language:Python1714

• Song-Jingyu/Carla-Roadside-Dataset-Generator

  Language:Python61

• KevinLADLee/carla_dataset_tools

  Tools for dataset generation based on CARLA simulator. (Data Collector)

  Language:Python10823

• DerrickXuNu/OpenCOOD

  [ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

  Language:Python680101

• erdos-project/pylot

  Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

  Language:Python474133

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55k15.9k

• ifzhang/ByteTrack

  [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

  Language:Python4.9k920

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.4k1.7k

• nutonomy/nuscenes-devkit

  The devkit of the nuScenes dataset.

  Language:Python2.3k635

• zgcr/SimpleAICV_pytorch_training_examples

  SimpleAICV:pytorch training and testing examples.

  Language:Jupyter Notebook42395

• SysCV/pcan

  Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

  Language:Python36350

• devbruce/cmask2polygons

  Convert rgb color mask to polygons per class

  Language:Python123

• leimao/Semantic-Segmentation-CARLA

  Semantic Segmentation Using CARLA Synthetic Dataset

  Language:Python1

• ucla-mobility/OpenCDA

  A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

  Language:Python1k204

• yun-liu/DEL

  DEL: Deep Embedding Learning for Efficient Image Segmentation

  Language:C++6314

• ChenyunWu/PhraseCutDataset

  Dataset API for "PhraseCut: Language-based Image Segmentation in the Wild"

  Language:Jupyter Notebook10612

• ankitdhall/imageSegmentation

  Image Segmentation using Texture and Color features in C++

  Language:C++10847

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python45k7.9k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.8k2.5k

• polarisZhao/binocular_Stereo_camera

  Language:C++92

• ZeLianWen/Image-Registration

  Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.

  Language:C++552126

• guofenggitlearning/AdelaiDet

  AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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• guofenggitlearning/detectron2

  Detectron2 is FAIR's next-generation platform for object detection and segmentation.

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• CoinCheung/BiSeNet

  Add bisenetv2. My implementation of BiSeNet

  Language:Python1.5k315

• MarvinTeichmann/MultiNet

  Real-time Joint Semantic Reasoning for Autonomous Driving

  Language:Python549246

• guofenggitlearning/MVision

  机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

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• Nikronic/Digital-Image-Processing-IUST

  The assignments of Digital Image Processing course taught by Dr. Mohammadi at Iran Science and Technology University

  Language:Jupyter Notebook31

• guofenggitlearning/Embedded-Machine-Vision-and-Intelligent-Automation

  An introductory course on machine vision and related machine learning used in automation, autopilots, security and inspection systems. Topics covered include theory of computer and machine vision and related algorithms for image capture and processing, filtering, thresholds, edge detection, shape analysis, shape detection, salient object detection, pattern matching, digital image stabilization, stereo ranging, and methods of sensor and information fusion. Machine vision sensors covered include visible to long-wave infrared including passive EO/IR (Electro-Optical/Infrared) as well as active methods such as RGB depth mapping and LIDAR. Embedded and automation topics covered include implementation of these algorithms with FPGA or GP-GPU embedded real-time vision systems for autopilots (intelligent transportation), general machine vision automation and security including methods for detection, classification, recognition of targets, and applications including inspection, surveillance, search and rescue, and machine vision navigation.

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