Keep running into this issue from cmr_data.p3d import P3dDataset and from cmr_data.p3d import CUBDataset

but you do not have these files in your repo. I tried using cub_200_2011_dataset.py but it does not take in the same number of arguments as the CUBDataset class used in run_reconstruction.py.

Pascal 3D+ dataset with 4722 images is successfully loaded.

Traceback (most recent call last): File "main.py", line 149, in <module> from rendering.renderer import Renderer File "/home/ujjawal/my_work/object_recon/2d3d/code/rendering/renderer.py", line 1, in <module> from kaolin.graphics.dib_renderer.rasterizer import linear_rasterizer ModuleNotFoundError: No module named kaolin.graphics

I also downloaded the graphics folder from here https://github.com/NVIDIAGameWorks/kaolin/tree/e7e513173bd4159ae45be6b3e156a3ad156a3eb9 and tried to place in the graphics folder in the kaolin folder locally and here is the error Traceback (most recent call last): File "main.py", line 149, in <module> from rendering.renderer import Renderer File "/home/ujjawal/my_work/object_recon/2d3d/code/rendering/renderer.py", line 1, in <module> from kaolin.graphics.dib_renderer.rasterizer import linear_rasterizer File "/usr/local/lib/python3.6/dist-packages/kaolin-0.9.0-py3.6-linux-x86_64.egg/kaolin/graphics/__init__.py", line 2, in <module> File "/usr/local/lib/python3.6/dist-packages/kaolin-0.9.0-py3.6-linux-x86_64.egg/kaolin/graphics/nmr/__init__.py", line 1, in <module> File "/usr/local/lib/python3.6/dist-packages/kaolin-0.9.0-py3.6-linux-x86_64.egg/kaolin/graphics/nmr/rasterizer.py", line 30, in <module> ImportError: cannot import name rasterize_cuda

Dear NikolaZubic :
Thanks for you updated the code recently. Did you put the reconstruction.py in the models folder？When I run “python run_reconstruction.py --name pretrained_reconstruction_cub --dataset cub --batch_size 10 --generate_pseudogt” it display
No module named 'models.reconstruction.

Hi, I am interested with your work, it is wonderful, and I want to use my own picture to test the model, could you provided the pretrained model and inference scripts.

Dear NikolaZubic: I want to quote your paper, but I can't find the pseudogt_512512.npz file and can't reproduce it. Can you give me the pseudogt_512512.npz file and help me reproduce it? Thanks

I recently read your paper and was very interested in it . I want to reproduce the code of this paper. When I followed your instructions, I found it difficult for me to run the commands（python main.py --dataset cub --batch_size 16 --weights pretrained_weights_cub and python main.py --dataset p3d --batch_size 16 --weights pretrained_weights_p3d.）.And the program displayed a value error that training a model requires the pseudo-ground-truth to be setup beforehand. And I don’t know how to solve the problem, so I turn to you for help.I'm sorry to bother you, but I'really eager to solve the problem. I hope to get your reply.Thank you!

This step will help others to avoid the "ModuleNotFoundError: No module named kaolin.graphics" error.

Fix to issue: https://github.com/NikolaZubic/2dimageto3dmodel/issues/2

Great work guys. I was able to run the code on CUB dataset. But when I tried to run training_test_shape_net.py on Shape Net v2 chair class I'm getting errors because of missing files, unmatched file names, etc.

So it would be helpful if you provide Shapenet Dataset Folder structure and files(images, masks) description or a sample folder and clear instructions for training the model shapenet dataset. And also if possible give pre-trained weights for the Shape net dataset models

Thank you

Hi, I find it hard to understand how to train the model on ShapeNet. It would be very helpful if you can provide a pretrained model on ShapeNet planes (I need it to test the performance in my project). If the pretrained models are not available, it would also be helpful to introduce me of how to train the model on ShapeNet.

I find the data of trainning such as "python run_reconstruction.py --name pretrained_reconstruction_p3d --dataset p3d --optimize_z0 --batch_size 50 --tensorboard" using the data of car.mat in sfm and data folder.Even if I rename the .mat to boat.mat and using the boat imageNet in Pascal 3D+ dataset,I find the shape of the result is more like a car not a boat.So I am wondering how to train the boat set.

Hi!

Love the work you guys have done. I am currently conducting a research. Could you please tell me how I would train on a custom dataset and how I would infer an image or create a 3d model out an image with pretrained weights that you have provided?

Dear NikolaZubic： I want to use my own data set to replace the cub or P3D data set for training. Do you have any attention or requirements for images when making data sets?