stereoDepth
pykitti
stereoDepth | pykitti | |
---|---|---|
2 | 2 | |
240 | 1,118 | |
- | 0.6% | |
0.0 | 5.3 | |
almost 3 years ago | 7 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stereoDepth
-
converting a disparity map to a depth map given calibration file
First, I believe you'll need to get the Q matrix from stereoCalibrate/stereoRectify (see https://github.com/aliyasineser/stereoDepth/blob/master/stereo_camera_calibration.py)
-
[Question] Why is the performance of cv2.calibratecamera() decreasing drastically with more images?
Code: (from here)
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?
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
ai-robot-hand-with-raspberry-pi - A robotics hand that mimics human hands using Computer Vision.
IGEV - [CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
StrayVisualizer - Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
ai2thor-rearrangement - 🔀 Visual Room Rearrangement
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
procthor - 🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses
RealtimeStereo - Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
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]
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.