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bayesian-matting

Python implementation of Bayesian Matting from Yung-Yu Chuang, Brian Curless, David H. Salesin, and Richard Szeliski. A Bayesian Approach to Digital Matting. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2001), Vol. II, 264-271, December 2001

couinaud-segmentation

fetal-brain-segmentation

fudan-moss

An open-source tool-augmented conversational language model from Fudan University

hello-world

Just a testing repository

landmarks-segmentation-and-registration

lane-detection-awesome-lane-detection

A paper list of lane detection.

line-detection-clrnet

Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).

line-detection-mma-net

VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection (ICCV 2021)

line-detection-once_3dlanes_benchmark

livermesh

manifold

Convert any Triangle Mesh to Watertight Manifold

mdedical-image-dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

medfm

Official Repository of NeurIPS 2023 - MedFM Challenge

medmeshcnn

Convolutional Neural Network for medical 3D meshes in PyTorch

opt-go-3d-2d-registration

Optimization-GradientOrientation based 3D/2D registration algorithm of medical imaging

partsegmentationtoolbox

Toolbox to create manual segmentations and map segmentation results to different resolutions

prediction-of-icg-r15-from-dce-mri

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch3d-renderer

A PyTorch3D walkthrough and a Medium article 👋 on how to render 3D .obj meshes from various viewpoints to create 2D images.