ppogg/shufflev2-yolov5
shufflev2-yolov5：lighter, faster and easier to deploy
Language: Python
#fastest #int8 #lighter #ncnn #shufflev2_yolov5 #yolov5
Stars: 88 Issues: 4 Forks: 20
https://github.com/ppogg/shufflev2-yolov5
shufflev2-yolov5：lighter, faster and easier to deploy
Language: Python
#fastest #int8 #lighter #ncnn #shufflev2_yolov5 #yolov5
Stars: 88 Issues: 4 Forks: 20
https://github.com/ppogg/shufflev2-yolov5
GitHub
GitHub - ppogg/YOLOv5-Lite: 🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach…
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~ - ppogg/YOLOv5-Lite
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
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
GitHub
GitHub - open-mmlab/mmyolo: OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7…
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc. - 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
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
GitHub
GitHub - roboflow/notebooks: Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from…
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l...
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
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
GitHub
GitHub - tinyvision/DAMO-YOLO: DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones…
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement. - tinyvision/DAMO-YOLO