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

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

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This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

Official repo for Medical Image Segmentation Review: The Success of U-Net

You can do anything by sota AI with prompt ,auto AI tools , VL larger model fine and project

A novel segmentation model termed Swin UNEt TRansformers (Swin UNETR). Specially for the task of 3D semantic segmentation.

Object Detection and YOLOV7-AC