SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
Detect 3D objects in real-time from video feeds for autonomous driving applications.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeSMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
SMOKE has 783 stars on GitHub. It has been forked 182 times. SMOKE is written mainly in Python. It has been in active development since 2020. SMOKE is available under the MIT license. Its main topics are 3d-object-detection, autonomous-driving.
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
SMOKE is an open-source project. It is released under the MIT license.
Yes. SMOKE is free and open source — you can use, modify and self-host it.
SMOKE is available under the MIT license.
SMOKE is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lzccccc-smoke.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.