MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
Access a toolbox for object segmentation and pose estimation in robotics challenges.
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 anytimeMIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
apc-vision-toolbox has 309 stars on GitHub. It has been forked 140 times. apc-vision-toolbox is written mainly in C++. It has been in active development since 2016. apc-vision-toolbox is available under the BSD-2-Clause license. Its main topics are 3d, amazon-picking-challenge, artificial-intelligence, computer-vision.
MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
apc-vision-toolbox is an open-source project. It is released under the BSD-2-Clause license.
Yes. apc-vision-toolbox is free and open source — you can use, modify and self-host it.
apc-vision-toolbox is available under the BSD-2-Clause license.
apc-vision-toolbox is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/andyzeng-apc-vision-toolbox.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.