PoseCNN-PyTorch VS CenterPose

Compare PoseCNN-PyTorch vs CenterPose and see what are their differences.

PoseCNN-PyTorch

PyTorch implementation of the PoseCNN framework (by NVlabs)

CenterPose

Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022) (by NVlabs)
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PoseCNN-PyTorch CenterPose
2 2
168 251
0.0% 7.2%
10.0 0.0
about 2 years ago over 1 year ago
C Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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PoseCNN-PyTorch

Posts with mentions or reviews of PoseCNN-PyTorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-07.
  • Estimating pose of a rigid object
    1 project | /r/computervision | 6 Feb 2023
    I'm working on estimating the 6D pose of a rigid object. I see some older work that seems related such as PoseCNN https://github.com/NVlabs/PoseCNN-PyTorch however this uses older network architectures (VGG).
  • 6D object pose estimation by known 3d model
    5 projects | /r/computervision | 7 Oct 2022
    I've been doing some research in this area and there are a few deep learning solutions to this problem. For example, NVIDIA's Deep Object Pose Estimation will estimate the 6DOF pose of a known object. But you'll have to train the network if you want to detect a new object. PoseCNN, which someone else mentioned, does a similar thing. CenterPose is more interesting, as it can estimate then pose of an object from a known category; e.g. sneakers, or laptops, rather that one specific object (as DOPE and PoseCNN do).

CenterPose

Posts with mentions or reviews of CenterPose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-07.
  • 6D object pose estimation by known 3d model
    5 projects | /r/computervision | 7 Oct 2022
    I've been doing some research in this area and there are a few deep learning solutions to this problem. For example, NVIDIA's Deep Object Pose Estimation will estimate the 6DOF pose of a known object. But you'll have to train the network if you want to detect a new object. PoseCNN, which someone else mentioned, does a similar thing. CenterPose is more interesting, as it can estimate then pose of an object from a known category; e.g. sneakers, or laptops, rather that one specific object (as DOPE and PoseCNN do).
  • Unknown object tracking state of the art?
    2 projects | /r/computervision | 4 Mar 2022
    If you want the poses of unknown objects within known categories (e.g. "shoe" or "laptop") there are several deep learning approaches. Here's one I'm currently experimenting with: https://github.com/NVlabs/CenterPose

What are some alternatives?

When comparing PoseCNN-PyTorch and CenterPose you can also consider the following projects:

Deep_Object_Pose - Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

iNeRF-public

Hierarchical-Localization - Visual localization made easy with hloc

GraphCut - Graph cut image segmentation with custom GUI.