labelme
Swin-Transformer-Semantic-Segmentation
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| labelme | Swin-Transformer-Semantic-Segmentation | |
|---|---|---|
| 6 | 1 | |
| 12,300 | 1,081 | |
| 3.0% | 0.0% | |
| 8.9 | 0.0 | |
| 9 days ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
labelme
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labelme VS anylabeling - a user suggested alternative
2 projects | 15 Apr 2023
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Use cases for PySide
Image, 3D, or data visualization applications using OpenCV and the SciPy ecosystem. The Graphics View Framework can display an image and let the user interact with it, and the Python ecosystem is very rich for image processing, data analysis, and visualization. For example, LabelMe for image labeling, PyQtGraph for scientific graphics, or custom QWidget integration in Maya.
- [D] What is a free tool for generating image segmentation masks?
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Convert Yolov3 annotation to labelme
Ref. - https://github.com/wkentaro/labelme/
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Mask RCNN Implementation for Image Segmentation | Tutorial
LabelMe is open-source tool for polygen image annotations inspired by MIT Label Me
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C++ trainable semantic segmentation models
Create your own dataset. Using labelme through "pip install" and label your images. Split the output json files and images into folders just like below:
Swin-Transformer-Semantic-Segmentation
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[P] Code and pretrained models for Swin Transformer are released (SOTA models on COCO and ADE20K)
Semantic segmentation on ADE20K: https://github.com/SwinTransformer/Swin-Transformer-Semantic-Segmentation
What are some alternatives?
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Swin-Transformer-Serve - Deploy Swin Transformer using TorchServe
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Video-Swin-Transformer - This is an official implementation for "Video Swin Transformers".
sentinel2-cloud-detector - Sentinel Hub Cloud Detector for Sentinel-2 images in Python
PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
SeMask-Segmentation - [NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation