Rayson's starred repositories
segment-anything
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.
generative-models
Generative Models by Stability AI
ios_rule_script
分流规则、重写写规则及脚本。
img2img-turbo
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
medical-datasets
tracking medical datasets, with a focus on medical imaging
Motion-Matching
Learned Motion Matching example implementation and source code for the article "Code vs Data Driven Displacement"
python_example
Example pybind11 module built with a Python-based build system
High-quality-ellipse-detection
A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.
Awesome-Implicit-Neural-Representations-in-Medical-imaging
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
Awesome-Generative-Image-Composition
A curated list of papers, code, and resources pertaining to generative image composition or object insertion.
segment-anything-edge-detection
Unofficial edge detection implementation using the Automatic Mask Generation (AMG) of the Segment Anything Model (SAM).
MedSegmentAnything_SAM_LungCT
The code to finetune SAM with bounding box prompt for segmentation of the lungs on CT
pytorch_cppcuda_practice
Practice to write cpp/cuda extension for pytorch
FFC3DLungDIR
An unsupervised deep learning-based approach for 4D-CT lung Deformable Image Registration
MOBDrone_eval
Code for evaluate the MOBDrone dataset - https://arxiv.org/abs/2203.07973