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GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KyujinHan%2FObject-Depth-detection-based-hybrid-Distance-estimator
PURL: pkg:github/KyujinHan/Object-Depth-detection-based-hybrid-Distance-estimator

Stars: 17
Forks: 5
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 30.2 MB
Dependencies parsed at: Pending

Created at: about 3 years ago
Updated at: about 1 year ago
Pushed at: over 1 year ago
Last synced at: about 1 year ago

Topics: computer-vision, deep-learning, distance-calculation, hybrid-model, lstm, machine-learning, monocular-camera, monocular-depth-estimation, object-detection, object-distance-using-camera, opencv, pytorch, random-forest, self-driving-car, vde, vehicle-distance-estimation, vision-transformer, xgboost

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