segmentation

deep learning for image processing including classification and object-detection etc.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Pytorch implementation of convolutional neural network visualization techniques

Segmentation models with pretrained backbones. PyTorch.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

unet for image segmentation

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Real-time multi-object tracking and segmentation using YOLOv8

Mask RCNN in TensorFlow

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Sandbox for training deep learning networks

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOv5, YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv8. MNN, NCNN, TNN, ONNXRuntime.

Paper and implementation of UNet-related model.