SemanticSegmentation
labelme2coco
| SemanticSegmentation | labelme2coco | |
|---|---|---|
| 1 | 1 | |
| 166 | 247 | |
| - | - | |
| 0.0 | 3.8 | |
| 7 months ago | 14 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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SemanticSegmentation
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?
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
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
HDF5ImageMarker - Utility to making datasets of images and points coordinates that have been marked up on these images by user
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
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