Sabrina Kletz's repositories
vision
Datasets, Transforms and Models specific to Computer Vision
mmm-2018-nasnet-image-classification
This repository contains the source code for classifying images of MMM'18 data with the NasNet network trained on ImageNet data using Tensorflow with TF-Slim research model implementation.
ISINet
Pytorch implementation of the MICCAI 2020 paper ISINet: An Instance-Based Approach for Surgical Instrument Segmentation.
instseg34405-gyn
Supplementary material for the paper: "Instrument Recognition in Laparoscopy for Technical Skill Assessment"
coco-annotator
:pencil2: Web-based image segmentation tool for object detection, localization and keypoints
nano
Supplementary material for the paper: "A Comparative Study of Video Annotation Tools for Scene Understanding: Yet (not) another Annotation Tool", shortly NANO
whoap
GameJam Game - The Kaiserreich under attack!
matterport-keras-mrcnn
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
tf-slim-models
Models and examples built with TensorFlow
neural-networks
Playground for testing neural networks in Python
cplus-ecat-classifier
The codebase to classify images with Caffe models for the ECAT tool.
create-star-conversion
GameJam Game - This is the game of the games!
cplus-opencv-como
The codebase for the COMO descriptor in C++
cplus-vretbox
VRETBOX is a Video Retrieval Evaluation Toolbox developed for the evaluation of visual content descriptors to make collections of videos searchable.
cplus-defuse
defuse is a collection of classes in C++ for extracting and evaluating video-based features for similarity search.
cplus-trecvid
TRECVID VRETBOX is a collection of tools, libraries, and scripts for the evaluation of content-based video retrieval
cplusutil
cplusutil is C++ library, containing utility classes and functions.
cpluslogger
cpluslogger is a simple to use C++ logging module. It provides a fast, header only integration.
objectivec-dupefileosx
dupeosx is a tool to find duplicate video file names on mac os x volumes.