There are 5 repositories under torchvision topic.
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Pretrained TorchVision models on CIFAR10 dataset (with weights)
Jetson Nano with Ubuntu 20.04 image
Python library for analysing faces using PyTorch
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
PyTorch 3D video classification models pre-trained on 65 million Instagram videos
opencv reimplement for transforms in torchvision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
Super Resolution datasets and models in Pytorch
An Opensource mouth tracking method for VR
多模态情感分析——基于BERT+ResNet的多种融合方法
Offline documentation built from official PyTorch release
Jetson Nano image with deep learning frameworks
PyTorch installation wheels for Raspberry Pi 64 OS
PyTorch installation wheels for Jetson Nano
PyTorch 1.7.0 and torchvision 0.8.0 builds for RaspberryPi 4 (32bit OS)
Running YOLOv5 through web browser using Flask microframework
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
Object detection for autonomous navigation systems
My solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Batch equivalent of PyTorch Transforms.
A collection of Hyper parameter tuning library.
A better PyTorch data loader capable of custom image operations and image subsets
Torch and TorchVision, but for NodeJS.
Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.