liwenssss

@Amran2k16 are you it convenient to send me your generate smpl_fbx_temate file. Actually， I fail to generate it so that I use the radvani's. Maybe it is the reasaon. @Lotayou...

@Amran2k16 Hi, I tried. nothing changed. ``` uv_map = imread("/home/liwensh/data/human36m_UV_map_/h36m_0001/frame0001.png") uv_map = uv_map.astype(np.float) print(uv_map.min(), uv_map.max()) resample_mesh = generator.resample(uv_map) device = torch.device('cuda') model = SMPLModel( device=device, model_path='./model_lsp.pkl', data_type=torch.float32 ) model.write_obj(resample_mesh, './test.obj')...

thanks your advice, I just successfully generate the smpl_fbx_template.obj. I find the reason is that I am not familiar with blender. I will try later to solve this and if...

I just think maybe I do something wrong I dont notice. I will try to do it from the beginning process except the data generate process. I am not sure...

hi, @Amran2k16 ,have you met the following phenomenon when you generate SMPL model:  as we can see some bulge around the left hand and the right feet. if you...

I just remove dilate when generate uv map and set align_corners is True when upsample.And now when I trained again it got better. I will give the resaults later.

when trained to epoch 22 iter 2749, the l1 loss was 1.736614 and the predicted uv map is :  but when it got epoch 22 iter 2999, the l1...

yes, I tried to reload the latest better performanced checkpoint and continue to training. But I found the resample resault is ..emmm old question. so I wonder if my trained...

> Maybe your GLIBC version is lower than 2.25. You can check the version with this command `ldd --version`; > > I solved the problem by lowering the version of...

I use the cluster with 3090.