KyujinHan/Object-Depth-detection-based-hybrid-Distance-estimator
We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.
No commits in the last 6 months.
Stars
18
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 09, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/KyujinHan/Object-Depth-detection-based-hybrid-Distance-estimator"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vita-epfl/monoloco
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social...
nburrus/stereodemo
Small Python utility to compare and visualize the output of various stereo depth estimation algorithms
fangchangma/self-supervised-depth-completion
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and...
wvangansbeke/Sparse-Depth-Completion
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st...
JiawangBian/sc_depth_pl
SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation ...