Comments (5)
Did you check if you can render the meshes correctly? The model take rendered meshes as condition input. So even if you send in black images it will generate good looking images just that they will not have any condition association.
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I set the run_id=29
and after trained for a while I use the generate_random_samples.py
to generate some results.
I notice that in the original dir ./outputs_files/sample/29/random_samples_q_eval_full_model
, there also exist some mesh images that are black but the images are fine. So I think my train phase is normal.
I also test the generate_random_samples.py
on the original trained model with run_id =29, but the saved meshes are also all black, so I think if there are some bugs in this script?
Last, I wonder how to set the flame parameters properly so that the saved mesh are normal and can see a direct corresponding semantic connection between the mesh and generated images. thanks~
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I came to notice that I can use deca to generate FLAME parameters, sorry for the bother, thanks~
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@ParthaEth, I have tried to use DECA to get FLAME parameters, but when using these parameters to generate an image, the saved mesh still all black.
Hope you can help, thanks~
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@visonpon Has this problem been solved? I have the same situation.
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Related Issues (20)
- training problems HOT 3
- train on my own datasets,the embd_reg_l loss is 0
- Use DECA to get FLAME parameters, but when using these parameters to generate image, the saved meshes still all black
- Mtl file does not exist HOT 2
- done HOT 2
- done
- done
- train on my own datasets ,but the test results are bad HOT 1
- can't don't load inputfile and checkpoint
- Problem with run generate_random_samples.py HOT 3
- about flame parameters HOT 1
- trouble with running generate_random_samples.py HOT 1
- [Q]. How to get images of similar appearance but different pose face images like fig.1 in the paper? HOT 1
- run fail HOT 3
- CUDA out of memory HOT 2
- Download the FLAME_texture_data HOT 1
- ModuleNotFoundError: No module named 'my_utils.photometric_optimization.models' HOT 4
- error: verts, faces, aux = load_obj(obj_filename) HOT 3
- File is missing
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