UniFormer
labelme2coco
UniFormer | labelme2coco | |
---|---|---|
5 | 1 | |
781 | 247 | |
- | - | |
3.7 | 3.8 | |
about 1 month ago | 12 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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UniFormer
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A New AI Research Propose ‘UniFormer’ (Unified transFormer) to Unify Convolution and Self-Attention for Visual Recognition
Code for https://arxiv.org/abs/2201.09450 found: https://github.com/Sense-X/UniFormer
labelme2coco
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What's A Simple Custom Segmentation Pipeline?
I would also suggest labelme, it's pretty easy to use. Just type "labelme" in the shell after pip installing and you will see the GUI. There are tools to convert to coco format (like https://github.com/fcakyon/labelme2coco) if needed, for instance for Detectron2.
What are some alternatives?
CoreML-Models - Converted CoreML Model Zoo.
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.
albumentations - 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
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
autogluon - Fast and Accurate ML in 3 Lines of Code
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
D3DShot - Extremely fast and robust screen capture on Windows with the Desktop Duplication API