NEW - YOLOv8 π in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Updated
Jul 16, 2024 - Python
NEW - YOLOv8 π in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Implementation of popular deep learning networks with TensorRT network definition API
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 like Grounding DINO and SAM.
π A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOv8, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
β‘οΈAn Easy-to-use and Fast Deep Learning Model Deployment Toolkit for βοΈCloud π±Mobile and πΉEdge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
π· Gracefully claim weekly free games and monthly content from Epic Store.
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
π₯π₯π₯TensorRT for YOLOv8γYOLOv8-PoseγYOLOv8-SegγYOLOv8-ClsγYOLOv7γYOLOv6γYOLOv5γYOLONAS......πππCUDA IS ALL YOU NEED.πππ
πππ A collection of some awesome public YOLO object detection series projects.
based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C
Images to inference with no labeling (use foundation models to train supervised models).
πππ YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. πππ
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
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