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.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-acti…

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

rotation detection based on yolov5

Train a yolo v5 object detection model on Bdd100k dataset

Face recognition using MTCNN and FaceNet

World Models Experiments