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Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
CVPR 2022 论文和开源项目合集
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
I want to access the traefik dashboard. I have cvat setup on a server with https. I modified the docker-compose.https.yml according to the comment for using the traefik dashboard. So included the lin
Segmentation models with pretrained backbones. PyTorch.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Hi,
I need to download the something-to-something and jester datasets. But the 20bn website "https://20bn.com" are not available for weeks, the error message is "503 Service Temporarily Unavailable".
I have already downloaded the video data of something-to-something v2, and I need the label dataset. For the Jester, I need both video and label data. Can someone share me the
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Caffe: a fast open framework for deep learning.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.
You can either:
Semantic Segmentation Architectures Implemented in PyTorch
Tools to Design or Visualize Architecture of Neural Network
Sandbox for training deep learning networks
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
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
A curated list of awesome data labeling tools
PyTorch for Semantic Segmentation
An open source framework for deep learning on satellite and aerial imagery.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Add a way to change the sample id output in the annotation process to a specific number (see picture).
Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
ICCV 2021 论文和开源项目合集
Using modified BiSeNet for face parsing in PyTorch
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
DeepLab-ResNet rebuilt in TensorFlow
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Describe the bug
When exporting a brush annotation as a PNG, the output is not mapped by the background colors specified in (Settings > Labeling Interface). In addition, when exporting as a JSON, the background colors for the attributes are not specified anywhere, leaving the values that were selected in the interface as arbitrary and as not linked to any of the outputs.
To Reproduce