manydepth
VIBE
| manydepth | VIBE | |
|---|---|---|
| 2 | 5 | |
| 596 | 2,802 | |
| 1.0% | - | |
| 0.0 | 0.0 | |
| 9 months ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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manydepth
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How Many Sensors for Autonomous Driving?
Yup! This kind of reconstruction is known as multi-view reconstruction. Though the cameras don't need to have a movable mount, they're already on a car which moves! The car moves and gives them a new "perspective" at every frame. That's how some monocular systems already work. Here's an example of one such system: https://github.com/nianticlabs/manydepth
That said, I think what you're referring to is more extreme perspectives that shift in ways the car cannot drive and you are correct that this would aid in reconstruction. This is how NERF models do their 3D reconstruction (https://nerfies.github.io/).
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The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth – method outperforms all self-supervised methods on KITTI and Cityscapes
Looks like it's available now.
VIBE
- 3D reconstruction models for human body
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Any ghetto Mo'Cap solutions?
there are projects like this and similar, that are able to create motion capture from video: https://github.com/KevinLTT/video2bvh or https://github.com/mkocabas/VIBE
- My experience using VIBE ( free motion extraction tool for animation )
- Free deep learning tool for extracting animation from videos (link in post)
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Markerless Motion Capture - Turning Videos into 3D Animations
Another Edit: Here's another one that supports FBX export out of the box: https://github.com/mkocabas/VIBE
What are some alternatives?
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
video2bvh - Extracts human motion in video and save it as bvh mocap file.
involution - [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
STEPS - This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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)
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
second.pytorch - SECOND for KITTI/NuScenes object detection
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
smplx - SMPL-X
SMPL - NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.