gap-lab-cuhk-sz / sampro3d Goto Github PK

Thanks for your excellent work. Can you please tell me what is the filtering strategy in automatic-SAM mentioned in the paper? I didn't find the filtering strategy in segment anything.

Thank you for your excellent work. I've noticed that you've employed a new method to obtain quantitative results, but I haven't seen this part in the code. Could you please share this portion of the code?
Thanks.

Hi,

Thanks for your great work. I tried to test it on the RedWood bedroom dataset (http://redwood-data.org/indoor_lidar_rgbd/index.html) with downsampled RGB-D images (from 21930 to 219 frames, resolution 640x480), both original and downsampled pointcloud (~5M, 100k points) but cannot get reasonable outputs. After filtering it seems that only the first frame result is remained as I checked the camera pose by reprojecting the first frame depth into the scene scan point cloud. It says originally with 580 prompts in 3d proposal stage and 51 remains after 2d-guided filter. Then 15 after prompt consolidation.

There is one point I don't know whether I got it correct: in utils/main_utils.py:transform_pt_depth_scannet_torch(), it requires bx and by from camera intrinsic matrix. I don't know what they mean and set them to 0s.

Could you provide any insights on refining the results? e.g. lower image resolution for SAM, change filter parameters, etc.

First frame rgb image:

Final segmented point cloud, the floor is segmented well, but for other parts seem only around the first frame viewpoint:

Hello!

Thank you for your wonderful work. I have encountered the following two bugs in my reproduction, in which I have not changed any core code.

The first bug I encountered was when I followed the steps to run "main.py":

I encountered the second bug after resolving the first one:

So I fixed the bug by moving line 377 before line 358.

Hope these get your attention. @mutianxu

Thank you and your team for the wonderful work! I've successfully run the code, but how can I visualize the 3D bounding boxes?