Estimate speed of vehicles on highway using Lucas Kanade Optical flow implemented in python

Vehicle Speed Check

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

OpenMMLab optical flow toolbox and benchmark

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

BCDU-Net : Medical Image Segmentation

Try to use the SAM-ViT as the backbone to create the learnable prompt for semantic segmentation

Pytorch implementation of Factorizer.

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

Code implementation of ProtoSAM - One Shot Medical Image Segmentation with Foundationl Models

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

基于ChatGLM-6B的中文问诊模型

FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

Source code for CVPR 2024 paper UnSAMFlow Unsupervised Optical Flow Guided by Segment Anything Model.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

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.

Segment Anything in Medical Images

CoTracker is a model for tracking any point (pixel) on a video.

Optical Flow Estimation using RAFT with PyTorch.

Tennis Ball Speed Estimation using a Racket-mounted Motion Sensor

Estimate the speed of a car given a video from dash cam with optical flow

Vehicle speed estimation using the optical flow algorithm from a mono camera(CCTV)

Vehicle Speed Estimation from Video using Deep Learning and Optical Flow in PyTorch.