Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How do I get the point cloud data from Realsense and convert it to the NPY files needed for the project demo? #7

Open
gzchenjiajun opened this issue Dec 7, 2020 · 9 comments

Comments

@gzchenjiajun
Copy link

I am using your warehouse, I tried the demo effect and felt very good.
I see that the demo code is an input of test data in NPY format, and the output is the score and grasp location.

Now I want to merge the data from Intel RealSense into a similar output format, and then give it to machine control. How do I do that?

@gzchenjiajun
Copy link
Author

Smoothed pc comes from averaging the depth for 10 frames and removing

the pixels with jittery depth between those 10 frames.

How exactly is this step generated? Is there a reference case?

@gzchenjiajun
Copy link
Author

Smoothed pc comes from averaging the depth for 10 frames and removing

the pixels with jittery depth between those 10 frames.

How exactly is this step generated? Is there a reference case?

I understand it's 10 frames of point cloud data, right?

@jsll
Copy link
Owner

jsll commented Dec 9, 2020

Yes you are correct it is 10 frames of point-cloud data.

Now I want to merge the data from Intel RealSense into a similar output format, and then give it to machine control. How do I do that?

What you need to do is to read in the data from Intel RealSense and then convert these to pytorch tensors which is then fed to the network.

@gzchenjiajun
Copy link
Author

Yes you are correct it is 10 frames of point-cloud data.

Now I want to merge the data from Intel RealSense into a similar output format, and then give it to machine control. How do I do that?

What you need to do is to read in the data from Intel RealSense and then convert these to pytorch tensors which is then fed to the network.

Thank you very much, I will try it these days!
Your Git project is really great! I can't wait to actually use it

@gzchenjiajun
Copy link
Author

What does the output value of the network xyz stand for?
Is the output XYZ based on the xyz value in the center of the object or on the XYZ value in the bottom left corner of the image?
thank you

@jsll

@jsll
Copy link
Owner

jsll commented Dec 13, 2020

xyz is the 3D coordinates of the point-cloud

@gzchenjiajun
Copy link
Author

gzchenjiajun commented Dec 28, 2020

link:https://pan.baidu.com/s/1Q8Xbk9sW2sZ50Wk_aUz4LA password:coo3

I wrote my own code to gather data from Realsense and infer, So here's the code.
But now I have made a mistake, I don't know how to solve it, could you help me? thank you

image

@imdoublecats
Copy link

link:https://pan.baidu.com/s/1Q8Xbk9sW2sZ50Wk_aUz4LA password:coo3

I wrote my own code to gather data from Realsense and infer, So here's the code.
But now I have made a mistake, I don't know how to solve it, could you help me? thank you

image

Your link is dead

@gzchenjiajun
Copy link
Author

@imdoublecats
我换了另一个repo去跑,你可以帮帮我吗?谢谢 ,链接在下面
NVlabs/6dof-graspnet#11 (comment)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants