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train curv encoders with 10p and radius 10,25

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luni
2023-01-28 15:12:42 +00:00
parent af336370d4
commit 930668611f
7 changed files with 149 additions and 44 deletions
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configs/config_ae_curv.py
+12 -2
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@@ -1,13 +1,23 @@
from configs.config_base import config
config['gpu'] = '5'
config['gpu'] = '4'
config['lr'] = 0.001
config['name'] = 'curv_1' #'ae_curv_9'
config['name'] = 'curv_1_orig_r2' #'ae_curv_9'
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 | \
| \
'
config['tags'] = ['review_2']
config['remove_global_orientation'] = True
config['cond_ae']['is_label'] = True
config['is_skirt'] = True
config['train_dir'] = '/home/workspace/data/dataset/local-cache/train_skirt'
config['valid_dir'] = '/home/workspace/local-data/valid_skirt'
config['test_dir'] = '/home/workspace/data/dataset/test_skirt_ready_2'
config['frames_file'] = 'frames_skirt_10p.txt'
config['frames_file_valid'] = 'frames_skirt_10p.txt'
config['curv_neighbourhood'] = 10
config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
'uv_curvature': (512, 256, 7),
configs/config_ae_curv_1_orig_curv_10_10p_r2.py
+30
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@@ -0,0 +1,30 @@
from configs.config_base import config
config['gpu'] = '4'
config['lr'] = 0.001
config['name'] = 'curv_1_orig_curv_10_10p_r2' #'ae_curv_9'
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 | \
| \
'
config['tags'] = ['review_2']
config['remove_global_orientation'] = True
config['dataset_in_memory'] = True
config['cond_ae']['is_label'] = True
config['is_skirt'] = True
config['train_dir'] = '/home/workspace/data/dataset/local-cache/train_skirt'
config['valid_dir'] = '/home/workspace/local-data/valid_skirt'
config['test_dir'] = '/home/workspace/data/dataset/test_skirt_ready_2'
config['frames_file'] = 'frames_skirt_10p.txt'
config['frames_file_valid'] = 'frames_skirt_10p.txt'
config['curv_neighbourhood'] = 10
config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
'uv_curvature': (512, 256, 7),
'mesh_curvature': (config['smpl_res'])
}
config['signature_static'] = { 'mesh_mask': (config['smpl_res'],),
'uv_mask': (512, 256,),
}
configs/config_ae_curv_1_orig_curv_25_10p_r2.py
+30
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@@ -0,0 +1,30 @@
from configs.config_base import config
config['gpu'] = '6'
config['lr'] = 0.001
config['name'] = 'curv_1_orig_curv_25_10p_r2' #'ae_curv_9'
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 | \
| \
'
config['tags'] = ['review_2']
config['remove_global_orientation'] = True
config['dataset_in_memory'] = True
config['cond_ae']['is_label'] = True
config['is_skirt'] = True
config['train_dir'] = '/home/workspace/data/dataset/local-cache/train_skirt'
config['valid_dir'] = '/home/workspace/local-data/valid_skirt'
config['test_dir'] = '/home/workspace/data/dataset/test_skirt_ready_2'
config['frames_file'] = 'frames_skirt_10p.txt'
config['frames_file_valid'] = 'frames_skirt_10p.txt'
config['curv_neighbourhood'] = 25
config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
'uv_curvature': (512, 256, 7),
'mesh_curvature': (config['smpl_res'])
}
config['signature_static'] = { 'mesh_mask': (config['smpl_res'],),
'uv_mask': (512, 256,),
}