Error running with rtx3080 graphics card #205
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Hey, dude , as i know ,the rtx30s just only support cuda>=11.1 . |
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hey @Xushuangyin the issue is with knn use of deprecated autograd like mentionned in the last error message. I used this pull request and it worked pull request : #170 |
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@Xushuangyin |
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Hello, I didn't solve this problem in the end. I can't find a KNN_ pytorch suitable for rtx30s series.
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发件人: "j96w/DenseFusion" ***@***.***>;
发送时间: 2022年4月14日(星期四) 上午10:19
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主题: Re: [j96w/DenseFusion] Error running with rtx3080 graphics card (Issue #205)
@Xushuangyin
Were you able to solve this issue?
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I would like to ask if I use the LINEMOD data set to train the attitude estimation model, and call the model in real environment to use the camera to pose the real time pose of the object in the dataset. Can we achieve the desired result? thank you！
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发件人: "j96w/DenseFusion" ***@***.***>;
发送时间: 2022年4月14日(星期四) 上午10:19
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主题: Re: [j96w/DenseFusion] Error running with rtx3080 graphics card (Issue #205)
@Xushuangyin
Were you able to solve this issue?
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@Xushuangyin Steps:
Hope it helps! |
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I'll try it later. It's strange that the dataset I made can be trained, and part of the linemod dataset can also be trained, but the whole dataset can't be trained. Thank you.
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发件人: "j96w/DenseFusion" ***@***.***>;
发送时间: 2022年4月14日(星期四) 中午1:56
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主题: Re: [j96w/DenseFusion] Error running with rtx3080 graphics card (Issue #205)
@Xushuangyin
I'm still in the middle of training but it seems like I'm able to train the LINEMOD dataset on the rtx30s series.
Steps:
git clone -b Pytorch-1.0 https://github.com/j96w/DenseFusion.git
modify files and follow the terminal code as shown in #170 (I'm using CUDA 11.3 and seems to be working just fine)
Hope it helps!
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@Xushuangyin |
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This is a link to the method I used to make the datasets. |
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hi @Xushuangyin , can you details us a bit what you modified in the code in order to train on your custom dataset. I am having shapes issues ..
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Do you use objectdatasettools to create datasets? I seem to have encountered this problem before. I'm sorry I forgot how to solve it. You can try to modify the shape of the image. It should be that your image is 4 channels. You need to change it to 3 channels before matrix multiplication.
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发件人: "j96w/DenseFusion" ***@***.***>;
发送时间: 2022年4月15日(星期五) 晚上9:52
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主题: Re: [j96w/DenseFusion] Error running with rtx3080 graphics card (Issue #205)
hi @Xushuangyin , can you details us a bit what you modified in the code in order to train on your custom dataset.
Did you resize the images ? changed the num_points ? I noticed the loop doesnt load all objects, it skips object 7 ?
I am having shapes issues ..
ValueError: operands could not be broadcast together with shapes (540,960,4) (3,)
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I modified the file, but I still reported an error when evaluating the linemod model. Can you provide me with the specific code you modified? What are the specific modifications? Thank you.
…------------------ 原始邮件 ------------------
发件人: "j96w/DenseFusion" ***@***.***>;
发送时间: 2022年4月14日(星期四) 中午1:56
***@***.***>;
***@***.******@***.***>;
主题: Re: [j96w/DenseFusion] Error running with rtx3080 graphics card (Issue #205)
@Xushuangyin
I'm still in the middle of training but it seems like I'm able to train the LINEMOD dataset on the rtx30s series.
Steps:
git clone -b Pytorch-1.0 https://github.com/j96w/DenseFusion.git
modify files and follow the terminal code as shown in #170 (I'm using CUDA 11.3 and seems to be working just fine)
Hope it helps!
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hey i resized the image like you said and i didnt get the valueErro anymore. I have models of my objects and some of them have less than 100 vetrices. Is num_pt_mesh_small the minimum number of vertices ? I currently have a shape issue nd i think its related with the num_points :
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When training your own datasets, I didn't modify the parameters you said, which is consistent with the linemod datasets.
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发件人: "j96w/DenseFusion" ***@***.***>;
发送时间: 2022年4月18日(星期一) 上午6:13
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主题: Re: [j96w/DenseFusion] Error running with rtx3080 graphics card (Issue #205)
hey i resized the image like you said and i didnt get the valueErro anymore.
@Xushuangyin do you know what the values of num_points, num_pt_mesh_large and num_pt_mesh_small ?
I have models of my objects and some of them have less than 100 vetrices. Is num_pt_mesh_small the minimum number of vertices ?
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RTX 3090 also has the same problem..... |
RuntimeError: cuDNN error:CUDNN_STATUS_MAPPING_ERROR
Rtx3080
cuda:10.0
pytorch:1.0.0
cudnn:7.3.5
`Traceback (most recent call last):
File "./tools/train.py", line 256, in
main()
File "./tools/train.py", line 154, in main
pred_r, pred_t, pred_c, emb = estimator(img, points, choose, idx)
File "/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/xsy/Object-RPE-master/DenseFusion/lib/network.py", line 96, in forward
out_img = self.cnn(img)
File "/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/xsy/Object-RPE-master/DenseFusion/lib/network.py", line 36, in forward
x = self.model(x)
File "/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/parallel/data_parallel.py", line 141, in forward
return self.module(*inputs[0], **kwargs[0])
File "/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/xsy/Object-RPE-master/DenseFusion/lib/pspnet.py", line 65, in forward
f, class_f = self.feats(x)
File "/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/xsy/Object-RPE-master/DenseFusion/lib/extractors.py", line 115, in forward
x = self.conv1(x)
File "/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/conv.py", line 320, in forward
self.padding, self.dilation, self.groups)
Is that the reason for my graphics card？
I tried to install cuda11 1,pytorch1. 8,cudnn8. 0.5, but it will appear RuntimeError: Legacy autograd function with non-static forward method is deprecated. Please use new-style autograd function with static forward method..
How to solve this problem?
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