robo-vln
pykitti
| robo-vln | pykitti | |
|---|---|---|
| 2 | 2 | |
| 61 | 1,114 | |
| - | 1.3% | |
| 2.9 | 5.3 | |
| 10 months ago | 7 months ago | |
| Python | Python | |
| MIT License | MIT License |
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robo-vln
-
[R] Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation
Project Webpage: https://zubair-irshad.github.io/projects/robo-vln.html Pytorch Code and Dataset: https://github.com/GT-RIPL/robo-vln ArXiv paper: https://arxiv.org/abs/2104.1067
pykitti
- Projecting 3D LiDAR points to camera
-
converting a disparity map to a depth map given calibration file
That is the calibration file from the KITTI dataset. You can find in the README how to interpret those values. Maybe take a look at https://github.com/utiasSTARS/pykitti as well, it allows you to parse these files in Python very quickly.
What are some alternatives?
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stereoDepth - single and stereo calibration, disparity calculation.
virtual_drawing_board - Virtual whiteboard with hand pose estimation
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LAVIS - LAVIS - A One-stop Library for Language-Vision Intelligence
habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]
Mask3D - Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
procthor - 🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses
IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)