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detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dl_book

fewshot_gan-unet3d

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

keras-faster-rcnn

keras实现faster rcnn，end2end训练、预测; 持续更新中,见todo... ;欢迎试用、关注并反馈问题

lits---liver-tumor-segmentation-challenge

LiTS - Liver Tumor Segmentation Challenge

markml

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mask_rcnn_3d

Utilizing Mask RCNN to generate 3D(look-like) images and videos. 裸眼3d,用Mask-RCNN自动生成视频与图像

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

pyqt5-text-editor

Source code for PyQt5 Text Editor project tutorial on Youtube. Video link: https://youtu.be/ChH66To6PQM

tensorflow-yolact

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

tigre

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

x2ct