nikhilroxtomar / RGB-Mask-to-Single-Channel-Mask-for-Multiclass-SegmentationLinks
This repo contains the code for converting an RGB mask into a onehot encoded mask or a single channel grayscale mask, which can be easily used for multiclass segmentation.
☆11Updated 4 years ago
Alternatives and similar repositories for RGB-Mask-to-Single-Channel-Mask-for-Multiclass-Segmentation
Users that are interested in RGB-Mask-to-Single-Channel-Mask-for-Multiclass-Segmentation are comparing it to the libraries listed below
Sorting:
- A repository contains the code for various semantic segmentation in TensorFlow and PyTorch framework.☆162Updated 7 months ago
- Binary and multiclass image segmentation loss functions implemented in Keras☆63Updated 5 years ago
- Deep learning Brain tumor segmentation, BRATS2019☆49Updated 6 years ago
- Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEU…☆108Updated 3 years ago
- Keras implementation of a 2D/3D U-Net with Additive Attention, Inception, and Recurrence functions provided☆73Updated 5 years ago
- Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task