Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Last update: Dec 21, 2022

Related tags

Deep Learning SS-Conv

Overview

Sparse Steerable Convolution (SS-Conv)

Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space", NeurIPS 2021.

Created by Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, and Kui Jia.

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Comments

isnt it correct to set optimizer and lr_scheduler's "name" to "type" ?

Hi~! I'm trying to start training but I got an simple error " KeyError: "cfg or default_args must contain the key 'type', but got {'name': 'Adam', 'lr': 0.01, 'betas': [0.5, 0.999], 'eps': 1e-06, 'params': [{'params': <filter object at 0x7fca95bd3f98>}]}\nNone"

So I changed "name" to "type" of "optimizer" and then I got another error. KeyError: "cfg or default_args must contain the key 'type', but got {'name': 'StepLR', 'step_size': 2, 'gamma': 0.5, 'optimizer': Adam (\nParameter Group 0\n amsgrad: False\n betas: [0.5, 0.999]\n eps: 1e-06\n lr: 0.01\n weight_decay: 0\n)}\nNone"

So, I again changed "name" to "type" of "lr_scheduler".

and then it seems no more error but, there is no progress on trainning. just got stuck from scratch.

2022-05-25 11:38:49,545 - using gpu: 2 2022-05-25 11:38:49,546 - => creating model ... 580 images found.

I used my custom images/depth/ so on which are fit to NOCS format and I already passed running the data_processing.py script.

Please help me~!

opened by dedoogong 2
[install] header file missing

Hi, Appreciate your work,

when I install SS_Conv_lib, it seems some header files are not found, SS-Conv/SS_Conv_lib/src/conv/geometry.h:16:10: fatal error: tensorview.h: No such file or directory SS-Conv/SS_Conv_lib/src/conv/reordering_functor.h:12:10: fatal error: tensorview.h: No such file or directory SS_Conv_lib/src/pool/global_maxpool.h:16:10: fatal error: datatype.h: No such file or directory

any extra dependencies?

opened by David-Willo 1
When will the code be released?

Hi, authors

Your work is novel and I believe it will have a big impact on object pose estimation society. But I'm wondering if you are going to release the code in near future.

opened by shanice-l 1
segmentation mask of LineMOD

Very good work! I have a question about the LineMOD segmentation masks. You mentioned that the predicted masks provided by the PoseCNN[10] paper are used for testing in the supplementary material, but, as I know, PoseCNN paper does not provide segmentation masks for LineMOD neither on their project page nor their Github page. Is it possible to clarify how or where to obtain the predicted object masks, if I am wrong? Thanks!

opened by dingdingcai 0

Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Related tags

Overview

Sparse Steerable Convolution (SS-Conv)

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segmentation mask of LineMOD

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