mask-rcnn
labelme2coco
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mask-rcnn | labelme2coco | |
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1 | 1 | |
26 | 247 | |
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1.8 | 3.8 | |
about 3 years ago | 8 days ago | |
MATLAB | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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mask-rcnn
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?
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
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
tpu - Reference models and tools for Cloud TPUs.
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
imagefusion_deeplearning - VggML (ICPR 2018, Beijing)
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code