The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
-
Updated
Aug 23, 2018 - Jupyter Notebook
The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
Pytorch Convolution neural network for semantic segmentation
Lots of semantic image segmentation implementations in Tensorflow/Keras
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
one-stage and two-stage detectors and segmentation-based detectors
Image Segmentation of Brain Tumors using Convolutional Neural Networks. Implemented U-Net and LinkNet architectures.
Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation
All my Python code used for the Kaggle HuBMAP Semantic Segmentation competition
Brain MRI segmentation using segmentation models
Segmentation models with pretrained backbones. PyTorch. for Google Colab cell motility segmentation example.
Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc
Flask app to segment bio-medical images.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Minecraft Plugin for Connect, allows tunneled player connections from Connect Network to join Spigot/Paper server and Velocity/BungeeCord proxy, even in online mode!
Road Segmentation Using Aerial Images
Segmentation models with pretrained backbones. PyTorch.
Add a description, image, and links to the linknet topic page so that developers can more easily learn about it.
To associate your repository with the linknet topic, visit your repo's landing page and select "manage topics."