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Any pre-processed data for training and test #2
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We are processing that. I will keep you updated. And thank you for the pointer! |
Hi, I was trying to run the training code, and I found in planercnn/datasets/plane_dataset.py Line 94 in 557583f
it asked a .tsv file named scannetv2-labels.combined.tsv is needed, and inplanercnn/datasets/plane_dataset.py Line 43 in 557583f
a .txt file named with the scene_id seems required to be under each scene's directory.
May I ask where I can get access to these files? |
They are from the original ScanNet dataset. You need to download the data and uncompress the .sens file (maybe delete the .sens file after uncompression to save space). |
Thanks. By the way, how can I run the training with multiple gpu? I cannot find any line contain the function Line 360 in 41a0f63
but it seems does not work as well. |
Sorry but is there any way we can run ScanNet original sens reader.py for all sens files scattered in different scene files? It looks like I cannot move all .sens file into one directory as it is important to map to corresponding annotations in later merging operation. |
Hi @dreamPoet , I just simply set the |
Hi @yangengt123, do you simply use |
Yeah, the only difference is I used absolute path, something like |
Thank you, but have you solve the problem of multi-GPU training now? I meet the same problem. |
By the way I use srun with gpu:8 and -n8 as bash command. |
And there are three parameters related to batch size, one in config, one in option, and one for dataset loader...Frankly, I am a bit of confused... |
@dreamPoet did you solve the .sens files extraction problem using reader.py? I'm in the exactly same problem. Any idea? Best. |
Well, I could solve it using python 2.7 but calling one .sens file per once. And dont forget about the reader.py options arguments such as --export_depth_images, --export_color_images, etc. |
That is right, I use python2.7. Maybe this is the reason I did not meet any problem. By the way, may I ask if you can still download the data from ScanNet recently? I tried to download the data to a new server but it seems my download script cannot work. |
Ah thanks. |
yeah, maybe I should. Thanks. |
Hi,
Thanks for sharing the code of your great work.
I am trying to run the training code, but I found the whole ScanNet dataset is rather than large. May I ask if it is necessary to download all the .sens from the dataset? Is it possible to get access to your per-processed data, or to train the network with part of this dataset?
BTW, a small contribution, if any one uses Cuda 9 + RTX 2080 GPU, the arch should be
sm_70
for the nvcc compilement. A link for other gpu types: https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/The text was updated successfully, but these errors were encountered: