learning-topology-synthetic-data
bpycv
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learning-topology-synthetic-data | bpycv | |
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5 | 3 | |
37 | 453 | |
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4.3 | 4.6 | |
9 months ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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learning-topology-synthetic-data
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Want to use synthetic data, but don't want to deal with domain gap?
For those interested, here are our source code with pretrained mdoels (it is light-weight so it runs on your local machine!) and arxiv version of our paper.
paper: https://arxiv.org/pdf/2106.02994.pdf
Here are some of the reconstructions produced by our method:
https://github.com/alexklwong/learning-topology-synthetic-da...
https://github.com/alexklwong/learning-topology-synthetic-da...
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[N][R] Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? (ICRA 2021 talk)
Code for https://arxiv.org/abs/2106.02994 found: https://github.com/alexklwong/learning-topology-synthetic-data
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
What are some alternatives?
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DECA - DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
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sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
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pyrender - Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
STEPS - This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"