Temple University - Dataset on Anomalous Traffic

Effortless data labeling with AI support from Segment Anything and other awesome models.

pytorch knn [cuda version]

ventral vision ai api

object detection based on owl-vit

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

Ultralytics YOLO 🚀

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

[ICCV 2021] OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration, Pytorch implementation.

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

A Blender addon for generating synthetic ground truth data for Computer Vision applications