Beast code in Giters

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookApache-2.0100

ultralytics-yolov8

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

Language:PythonGPL-3.01 10

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Language:Jupyter NotebookGPL-3.01 10

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Language:PythonNOASSERTION010

tets_onnxruntime_gpu_memory

How to release gpu memory

Language:C++01 1

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Language:PythonAGPL-3.0010

yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

Language:PythonGPL-3.0010