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A

AI-liu/Complex-YOLO

0
View on GitHub↗
0 stars·0 forks·7 views

Complex YOLO

Features

  • Object Detection and Tracking - Real-time 3D object detection on point clouds.

Star history

Star history chart for ai-liu/complex-yoloStar history chart for ai-liu/complex-yolo

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Complex YOLO

These projects share indexed features with Complex YOLO. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • benzlxs/tdbnB

    Benzlxs/tDBN

    0View on GitHub↗
    View on GitHub↗0
  • bostondiditeam/mv3dB

    bostondiditeam/MV3D

    0View on GitHub↗
    View on GitHub↗0
  • charlesq34/frustum-pointnetscharlesq34 avatar

    charlesq34/frustum-pointnets

    1,668View on GitHub↗

    Created by Charles R. Qi , Wei Liu , Chenxia Wu , Hao Su and Leonidas J. Guibas from Stanford University and Nuro Inc.

    Python
    View on GitHub↗1,668
  • ankita-kalra/pixorA

    ankita-kalra/PIXOR

    0View on GitHub↗
    View on GitHub↗0
Compare all 15 related projects→

Frequently asked questions

What are the main features of ai-liu/complex-yolo?

The main features of ai-liu/complex-yolo are: Object Detection and Tracking.

Which projects share features with ai-liu/complex-yolo?

Projects with overlapping indexed features include: benzlxs/tdbn. bostondiditeam/mv3d. charlesq34/frustum-pointnets — Created by Charles R. Qi , Wei Liu , Chenxia Wu , Hao Su and Leonidas J. Guibas from Stanford University and Nuro Inc. facebookresearch/votenet — Deep Hough Voting for 3D Object Detection in Point Clouds. happinesslz/tanet. ankita-kalra/pixor.