train encoder with radius 100
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from configs.config_base import config
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config['gpu'] = '1'
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config['lr'] = 0.001
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config['name'] = 'curv_1_orig_curv_100_10p_r2' #'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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| \
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'
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config['tags'] = ['review_2']
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config['remove_global_orientation'] = True
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config['dataset_in_memory'] = True
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config['cond_ae']['is_label'] = True
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config['is_skirt'] = True
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config['train_dir'] = '/home/workspace/data/dataset/local-cache/train_skirt'
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config['valid_dir'] = '/home/workspace/local-data/valid_skirt'
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config['test_dir'] = '/home/workspace/data/dataset/test_skirt_ready_2'
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config['frames_file'] = 'frames_skirt_10p.txt'
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config['frames_file_valid'] = 'frames_skirt_10p.txt'
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config['curv_neighbourhood'] = 100
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config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
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'uv_curvature': (512, 256, 7),
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'mesh_curvature': (config['smpl_res'])
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}
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config['signature_static'] = { 'mesh_mask': (config['smpl_res'],),
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'uv_mask': (512, 256,),
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}
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