iNeRF-public
By yenchenlin
Deep_Object_Pose
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018) (by NVlabs)
iNeRF-public | Deep_Object_Pose | |
---|---|---|
1 | 3 | |
192 | 959 | |
- | 0.6% | |
0.0 | 7.4 | |
about 1 year ago | 7 days ago | |
Python | Python | |
- | 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
iNeRF-public
Posts with mentions or reviews of iNeRF-public.
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
The animation on the page tells it all. They also released the code: https://github.com/yenchenlin/iNeRF-public
Deep_Object_Pose
Posts with mentions or reviews of Deep_Object_Pose.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-29.
- FLaNK Stack 29 Jan 2024
-
6D object pose estimation by known 3d model
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).
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Machine Learning Workshop tonight 8-9pm hosted by Underwater Robotics!
For our last event of ArchE Week, the Ohio State Underwater Robotics Team (Website, Instagram) is hosting a workshop tonight on machine learning! The workshop is an interactive walkthrough of using machine learning solutions to make predictions. Some example problems we could be trying to solve are predicting a grade, predicting the weather, and the classic recognize a digit problem. Our team personally uses machine learning to do real-time object detection with YOLO and NVidia DOPE, so we may touch on that as well!
What are some alternatives?
When comparing iNeRF-public and Deep_Object_Pose you can also consider the following projects:
CenterPose - Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)
PoseCNN-PyTorch - PyTorch implementation of the PoseCNN framework
reor - Self-organizing AI note-taking app that runs models locally.
Hierarchical-Localization - Visual localization made easy with hloc
2021_ML_Workshop - 2021 ML Workshop
java-snapshot-testing - Facebook style snapshot testing for JAVA Tests
pong-wars
llm-classifier - Classify data instantly using an LLM
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
iNeRF-public vs CenterPose
Deep_Object_Pose vs PoseCNN-PyTorch
iNeRF-public vs PoseCNN-PyTorch
Deep_Object_Pose vs reor
iNeRF-public vs Hierarchical-Localization
Deep_Object_Pose vs Hierarchical-Localization
Deep_Object_Pose vs CenterPose
Deep_Object_Pose vs 2021_ML_Workshop
Deep_Object_Pose vs java-snapshot-testing
Deep_Object_Pose vs pong-wars
Deep_Object_Pose vs llm-classifier
Deep_Object_Pose vs qdrant