add config cape updates
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@@ -21,10 +21,10 @@ config['batch_size'] = 32
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config['signature_dynamic'] = { 'id': (),
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config['signature_dynamic'] = { 'id': (),
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'pose_shape': (72 + 11,),
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'pose_shape': (72 + 11,),
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'uv_body_posed': (3, 512, 256,),
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'uv_body_posed': (3, 512, 256,),
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'mesh_body_posed': (14475, 3,),
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'mesh_body_posed': (config['smpl_res'], 3,),
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}
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}
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config['signature_static'] = {
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config['signature_static'] = {
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'mesh_mask': (14475,),
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'mesh_mask': (config['smpl_res'],),
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}
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}
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['latent_dim'] = config['latent_dim']
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@@ -2,19 +2,18 @@ from configs.config_base import config
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config['gpu'] = '5'
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config['gpu'] = '5'
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config['lr'] = 0.001
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config['lr'] = 0.001
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config['name'] = 'curv_1_5' #'ae_curv_9'
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config['name'] = 'curv_1' #'ae_curv_9'
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config['notes'] = 'convnext + convnext, 16*8*32, ce loss. flattened latent dim of 128. trained on 100 garments. switched back to sparse CCE, normal one was giving NaN | \
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config['notes'] = 'convnext + convnext, 16*8*32, ce loss. flattened latent dim of 128. trained on 100 garments. switched back to sparse CCE, normal one was giving NaN | \
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try ssim loss | \
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smaller model | \
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'
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'
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config['cond_ae']['is_label'] = True
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config['cond_ae']['is_label'] = True
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config['signature_dynamic'] = { 'id': (),
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config['signature_dynamic'] = { 'id': (),
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'uv_curvature': (512, 256, 7),
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'uv_curvature': (512, 256, 7),
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'mesh_curvature': (14475)
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'mesh_curvature': (config['smpl_res'])
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}
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}
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config['signature_static'] = { 'mesh_mask': (14475,),
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config['signature_static'] = { 'mesh_mask': (config['smpl_res'],),
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'uv_mask': (512, 256,),
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'uv_mask': (512, 256,),
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}
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}
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