bpycv
labelme2coco
| bpycv | labelme2coco | |
|---|---|---|
| 3 | 1 | |
| 455 | 247 | |
| - | - | |
| 4.6 | 3.8 | |
| about 2 months ago | 11 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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bpycv
- Bpycv: Computer Vision and Deep Learning Utils for Blender
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Python code that takes pictures from different view points of a 3d model
Blender is capable of running in a headless mode. I ‘ve had the exact same use case nearly a thousand times. This library worked out well for my purposes https://github.com/DIYer22/bpycv
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[P] Synthetic Data for CV with Python and Blender
Can someone who knows a bit about this compare to, e.g., bpycv? Seems like they are doing very similar stuff
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?
zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
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
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pyrender - Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
autogluon - Fast and Accurate ML in 3 Lines of Code
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation