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Scan documents to PDF and more, as simply as possible.
A cross platform front-end GUI of the popular youtube-dl written in wxPython.
Tensorflow Implementation of TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
www.ibrahimtonca.com
Open source Python library for converting PDF to DOCX.
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
ESP32 oscilloscope - see the signals through Web browser the way ESP32 sees them
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
[IEEE TMI] Official Implementation for UNet++
PIC16F877A based 5V/20MHz development board and PIC programmer
Arduino sketch to reset your RICOH SP-204 toner chip
real time face swap and one-click video deepfake with only a single image
Implementation of the paper "Fast video visual quality and resolution improvement using SR-UNet".
Customized implementation of the U-Net in PyTorch for super-resolving hyper-low-field MRI images.
Light weight toolkit for bounding boxes providing conversion between bounding box types and simple computations.
Feature Pyramid Network based on VGG16 and ResNet101
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
A feature-rich command-line audio/video downloader
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
JDK main-line development https://openjdk.org/projects/jdk
How to create fancy GIFs from an MRI brain image
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics