705 results for “topic:torchvision”
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
View model summaries in PyTorch!
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
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.
Jetson Nano with Ubuntu 20.04 image
Pretrained TorchVision models on CIFAR10 dataset (with weights)
Python library for analysing faces using PyTorch
A DIY mouth tracking method for VR
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
多模态情感分析——基于BERT+ResNet的多种融合方法
💎An easy-to-use PyTorch library for face landmarks detection: training, evaluation, inference, and 100+ data augmentations.🎉
PyTorch 3D video classification models pre-trained on 65 million Instagram videos
Super Resolution datasets and models in Pytorch
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
opencv reimplement for transforms in torchvision
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
Offline documentation built from official PyTorch release
Jetson Nano image with deep learning frameworks
PyTorch installation wheels for Jetson Nano
PyTorch installation wheels for Raspberry Pi 64 OS
PyTorch 1.7.0 and torchvision 0.8.0 builds for RaspberryPi 4 (32bit OS)
A neural network framework for researchers studying acoustic communication
Wheat Detection challenge on Kaggle
Running YOLOv5 through web browser using Flask microframework
Face Anti-Spoofing project. Lanit-Tercom summer school 2022
Modern PyTorch toolkit for the VisDrone aerial object detection dataset with production-ready training pipelines, real-time inference, and format converters. Features state-of-the-art models (Faster R-CNN, FCOS, RetinaNet), mixed precision training, rich progress tracking, and optimizations for small object detection in drone imagery.
💡💡💡awesome compute vision app in gradio
DEPRECATED!