save configs
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+26
-18
@@ -1,23 +1,31 @@
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from configs.config_base import config
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config['gpu'] = '2'
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config['name'] = 'cvae_19_skirt'
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config['gpu'] = '4'
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config['name'] = 'v2_4'
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config['notes'] = '\
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offsets over average unposed garment. remove global orientation (in posed body input and in pose_shape parameters. \
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retrained body encoder with deoriented bodies \
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use mean l2 loss. small batch. l2 * 1000, balancing to 1 from 0.01\
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fixed gender issue and retrained body encoder, FINAL\
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remove shape from unposed garment\
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training on 100 garments with offsets over the average of these\
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fixed autoencoders!!!!!!!!!\
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cvae only loads encoders instead AEs\
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offsets over average unposed garment. remove global orientation (in posed body input and in pose_shape parameters. | \
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retrained body encoder with deoriented bodies | \
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use mean l2 loss. small batch. l2 * 1000, balancing to 1 from 0.01 | \
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fixed gender issue and retrained body encoder, FINAL | \
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remove shape from unposed garment | \
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training on 100 garments with offsets over the average of these | \
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fixed autoencoders!!!!!!!!! | \
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cvae only loads encoders instead AEs | \
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increase balancing coeff sooner | \
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'
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config['dataset_in_memory'] = True
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config['dataset_in_memory'] = False
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# DON'T FORGET TO RESET SSIM LOSS USAGE
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# DON'T FORGET TO CHECK MODEL LOADING
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# DON'T FORGET TO CHECK IF STORE IN MEMORY
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# DON'T FORGET TO CHECK REG LOSS COEFF
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# DON'T FORGET TO LOAD FINAL UPSCALER UNLESS HAVE LEVEL 512
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config['resolution'] = 512
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config['is_skirt'] = True
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config['reg_loss_coeff'] = 0 # set to 0 if don't want to use edge+collision
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config['is_skirt'] = False
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config['reg_loss_coeff'] = 0.1 # set to 0 if don't want to use edge+collision
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if config['resolution'] != 512:
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config['notes'] += '\
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@@ -50,14 +58,14 @@ if config['resolution'] != 512:
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config['signature_static']['uv_mask' + res_modifier] = (config['resolution'], config['resolution']//2)
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if config['resolution'] == 512:
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config['avg_garment_path'] = 'custom_data/train_skirt_25_2_no_shape_avg_uv.npy'
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config['avg_garment_path'] = 'custom_data/train_no_shape_avg_uv.npy'
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else:
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config['avg_garment_path'] = ''
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config['static_model'] = 'checkpoints/ae_static_7_2_skirt_x'
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config['body_model'] = 'checkpoints/ae_body_10_3_skirt_x'
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config['curvature_model'] = 'checkpoints/ae_curv_9_skirt_x'
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config['upscale_enhancer'] = 'checkpoints/up_2_3_skirt_x_d32'
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config['static_model'] = 'checkpoints/static_1'
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config['body_model'] = 'checkpoints/body_1'
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config['curvature_model'] = 'checkpoints/curv_1'
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config['upscale_enhancer'] = ''
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config['freeze_encoders'] = True
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config['cvae'] = dict()
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