juicedata/juicefs
A distributed POSIX file system built on top of Redis and S3.
Language: Go
#cloud_native #distributed_systems #filesystem #golang #object_storage #redis #storage
Stars: 265 Issues: 4 Forks: 21
https://github.com/juicedata/juicefs

wesdoyle/design-patterns-explained-with-food
GoF Design Patterns with "Real-World" examples involving Food-Related Businesses and mock dependencies
Language: C#
#design_patterns #dotnet #gang_of_four #object_oriented_design
Stars: 179 Issues: 1 Forks: 8
https://github.com/wesdoyle/design-patterns-explained-with-food

uvipen/SSD-pytorch
SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
Language: Python
#computer_vision #deep_learning #deep_neural_networks #deeplearning #neural_networks #object_detection #pytorch #ssd #ssdlite
Stars: 81 Issues: 0 Forks: 17
https://github.com/uvipen/SSD-pytorch

xingyizhou/UniDet
Object detection on multiple datasets with an automatically learned unified label space.
Language: Python
#coco #object_detection #objects365 #openimages #robust
Stars: 114 Issues: 0 Forks: 11
https://github.com/xingyizhou/UniDet

xingyizhou/CenterNet2
Two-stage CenterNet
Language: Python
#coco #object_detection
Stars: 285 Issues: 4 Forks: 27
https://github.com/xingyizhou/CenterNet2

hustvl/YOLOS
You Only Look at One Sequence (https://arxiv.org/abs/2106.00666)
Language: Python
#computer_vision #transformer #object_detection #vision_transformer
Stars: 128 Issues: 0 Forks: 4
https://github.com/hustvl/YOLOS

fcjian/TOOD
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
Language: Python
#anchor_based #anchor_free #computer_vision #dense_object_detection #iccv2021 #iccv21 #object_detection #one_stage_detector #sample_assignment #t_head #tal #task_aligned_loss #task_alignment #task_alignment_metric #tood
Stars: 84 Issues: 1 Forks: 6
https://github.com/fcjian/TOOD

hustvl/YOLOP
You Only Look Once for panopitic driving perception.（https://arxiv.org/abs/2108.11250）
Language: Python
#drivable_area_segmentation #jetson_tx2 #lane_detection #multitask_learning #object_detection
Stars: 119 Issues: 1 Forks: 13
https://github.com/hustvl/YOLOP

czczup/ViT-Adapter
Vision Transformer Adapter for Dense Predictions
#adapter #object_detection #semantic_segmentation #vision_transformer
Stars: 89 Issues: 1 Forks: 3
https://github.com/czczup/ViT-Adapter

dog-qiuqiu/FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 30% compared with yolo-fastest, and the post-processing is simpler
Language: Python
#computer_vision #deep_learning #object_detection
Stars: 120 Issues: 4 Forks: 15
https://github.com/dog-qiuqiu/FastestDet

MasterBin-IIAU/Unicorn
[ECCV'22 Oral] Towards Grand Unification of Object Tracking
Language: Python
#multi_object_tracking_segmentation #multiple_object_tracking #object_tracking #single_object_tracking #video_object_segmentation
Stars: 132 Issues: 1 Forks: 5
https://github.com/MasterBin-IIAU/Unicorn

wjf5203/VNext
Next-generation Video instance recognition framework on top of Detectron2 which supports SeqFormer(ECCV Oral) and IDOL(ECCV Oral))
Language: Python
#instance_segmentation #object_detection #tracking #transformer #video_instance_segmentation
Stars: 109 Issues: 0 Forks: 4
https://github.com/wjf5203/VNext

open-mmlab/mmyolo
OpenMMLab YOLO series toolbox and benchmark
Language: Python
#object_detection #pytorch #yolo #yolov5 #yolov6 #yolox
Stars: 285 Issues: 7 Forks: 11
https://github.com/open-mmlab/mmyolo

roboflow-ai/notebooks
Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.
Language: Jupyter Notebook
#computer_vision #deep_learning #deep_neural_networks #image_classification #image_segmentation #object_detection #pytorch #tutorial #yolov5 #yolov6 #yolov7
Stars: 126 Issues: 1 Forks: 14
https://github.com/roboflow-ai/notebooks

tinyvision/DAMO-YOLO
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Language: Python
#deep_learning #nas #object_detection #onnx #pytorch #tensorrt #yolo #yolov5
Stars: 163 Issues: 8 Forks: 15
https://github.com/tinyvision/DAMO-YOLO

kadirnar/segment-anything-video
MetaSeg: Packaged version of the Segment Anything repository
Language: Python
#object_detection #object_segmentation #segment_anything #segmentation
Stars: 337 Issues: 4 Forks: 22
https://github.com/kadirnar/segment-anything-video

OpenGVLab/VisionLLM
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
#generalist_model #large_language_models #object_detection
Stars: 205 Issues: 1 Forks: 2
https://github.com/OpenGVLab/VisionLLM

roboflow/multimodal-maestro
Effective prompting for Large Multimodal Models like GPT-4 Vision or LLaVA. 🔥
Language: Python
#cross_modal #gpt_4 #gpt_4_vision #instance_segmentation #llava #lmm #multimodality #object_detection #prompt_engineering #segment_anything #vision_language_model #visual_prompting
Stars: 367 Issues: 1 Forks: 23
https://github.com/roboflow/multimodal-maestro

FoundationVision/GLEE
GLEE: General Object Foundation Model for Images and Videos at Scale
Language: Python
#foundation_model #object_detection #open_world #tracking
Stars: 153 Issues: 3 Forks: 9
https://github.com/FoundationVision/GLEE

IDEA-Research/Grounding-DINO-1.5-API
API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
Language: Python
#grounding_dino #object_detection #open_set
Stars: 228 Issues: 7 Forks: 7
https://github.com/IDEA-Research/Grounding-DINO-1.5-API