muelea / tuch Goto Github PK

Hi @muelea , Thanks for sharing your program with us, it' clean and helpful.
When running the SMPLify-DC demo command, I found that the pkl files are missing:

python demo_smplify_dc.py --name smplify_dc --log_dir out/demo_smplify_dc --ds_names dsc_df \
--num_smplify_iters 100
Traceback (most recent call last):
  File "demo_smplify_dc.py", line 183, in <module>
    main(options)
  File "demo_smplify_dc.py", line 45, in main
    dataset = BaseDataset(options, options.ds_names[0], use_augmentation=False)
  File "/data_1/xxx/projects/github/tuch/tuch/datasets/base_dataset.py", line 67, in __init__
    self.classes = pickle.load(open(osp.join(config.DSC_ROOT, 'classes.pkl'), 'rb'))
FileNotFoundError: [Errno 2] No such file or directory: '/data_1/xxx/datasets/DSC/classes.pkl'

Could you please upload "classes.pkl" and "ContactSigSMPL.pkl" ? Thanks

Hi,

I have a quick question regarding the MTP dataset. I noticed that the left_hand_pose and right_hand_pose are 6-dimensional PCA coefficients for 3DCP Scan and 3DCP Mocap. However, when visualizing for AGORA, I noticed the vectors are 12 dimensional.

Could you please tell me how to interpret this specifically for AGORA? I noticed that in several cases, the latter 6 values were all zeros, but this is not consistent for all cases. I just wanted to make sure I was not missing anything.

Also, thank you for the great work and for providing the code and data! :)

Hi, @muelea ! Thanks for your great work. I found the mtp dataset only provides smpl pose and shape parameter, missing the smpl transition parameter and camera parameters. I want to render the smpl ground truth on the image. It would be very much appreciated if you have any advice on this.

Hi @muelea ,

I am trying to find the checkpoints which are being referenced in these lines in the config but can't seem to find them anywhere. Could you please provide the links where I could download these from?

I really appreciate any help you can provide. Thanks!

Hi @muelea ,
I visit the DeepFashion Website and found that there are several benchmarks, each with different zips for images. I download one of the zips, but after extraction, the folder is like this:

DeepFashion/WOMEN/Tees_Tanks/id_00007979/04_4_full.jpg
DeepFashion/WOMEN/Tees_Tanks/id_00007979/04_7_additional.jpg
DeepFashion/WOMEN/Tees_Tanks/id_00007981/
DeepFashion/WOMEN/Tees_Tanks/id_00007981/03_1_front.jpg
DeepFashion/WOMEN/Tees_Tanks/id_00007981/03_3_back.jpg
DeepFashion/WOMEN/Tees_Tanks/id_00007981/03_7_additional.jpg

rather than the structure that all images in one folder:

${DF_ROOT}
|-- images
    |-- img_00000001.jpg
    |-- img_00000002.jpg

I guess I downloaded the wrong subset of dataset of DF.

Could you give more details on which benchmark (or even better, which zip :)) to download? Thanks in advance.