pycococreator
labelme2coco
pycococreator | labelme2coco | |
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1 | 1 | |
762 | 247 | |
- | - | |
0.0 | 3.8 | |
20 days ago | 11 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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pycococreator
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How to convert properly annotations to a mask image?
binary_mask_to_polygon from pycococreatortools might work https://github.com/waspinator/pycococreator
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?
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
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
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
synthetic-computer-vision - A list of synthetic dataset and tools for computer vision
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
autogluon - Fast and Accurate ML in 3 Lines of Code