added one_hot option to dataset
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+21
-10
@@ -167,7 +167,7 @@ class DatasetFactory():
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return tf_signature
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def get_dataset(self, folder, batch_size, signature, shuffle=True, use_filled=False, resolutions=[512], in_memory=False, do_repeat=True, is_cape=False):
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def get_dataset(self, folder, batch_size, signature, shuffle=True, use_filled=False, resolutions=[512], in_memory=False, do_repeat=True, is_cape=False, use_one_hot=False):
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# assert (use_filled and len(resolutions) >= 1) or (not use_filled and len(resolutions) == 1)
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assert set(resolutions).issubset(set([32, 64, 128, 256, 512]))
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@@ -180,6 +180,12 @@ class DatasetFactory():
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if is_cape:
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separator = '.'
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one_hot = ''
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one_hot_2 = ''
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if use_one_hot:
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one_hot = '_one_hot'
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one_hot_2 = '_one_hot_2'
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def read_item(frame):
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frame_split = tf.strings.split(frame, sep=separator)
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@@ -224,7 +230,8 @@ class DatasetFactory():
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# uv_unposed = np.load(os.path.join(folder, 'uv_unposed', id + '_' + frame_nr + '.npz')); uv_unposed = uv_unposed['uv_unposed']; uv_unposed = np.transpose(uv_unposed, [2, 0, 1])
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# item['uv_unposed'] = uv_unposed
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if 'mesh_unposed' in signature.keys():
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mesh_unposed_no_shape = np.load(os.path.join(folder, 'mesh_unposed_no_shape', id + separator + frame_nr + '.npz')); mesh_unposed_no_shape = mesh_unposed_no_shape['mesh_unposed_no_shape']
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# print('one_hot')
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mesh_unposed_no_shape = np.load(os.path.join(folder, 'mesh_unposed_no_shape' + one_hot, id + separator + frame_nr + '.npz')); mesh_unposed_no_shape = mesh_unposed_no_shape['mesh_unposed_no_shape']
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item['mesh_unposed'] = mesh_unposed_no_shape
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@@ -248,11 +255,12 @@ class DatasetFactory():
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item['uv_curvature' + res_string] = uv_curvature
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if 'uv_unposed' + res_string in signature.keys():
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uv_unposed_no_shape = np.load(os.path.join(folder, 'uv_unposed_no_shape' + filled + res_string, id + separator + frame_nr + '.npz')); uv_unposed_no_shape = uv_unposed_no_shape['uv_unposed_no_shape' + filled]
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uv_unposed_no_shape = np.load(os.path.join(folder, 'uv_unposed_no_shape' + one_hot_2 + res_string, id + separator + frame_nr + '.npz')); uv_unposed_no_shape = uv_unposed_no_shape['uv_unposed_no_shape' + filled]
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item['uv_unposed' + res_string] = uv_unposed_no_shape
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if 'uv_body_posed' + res_string in signature.keys():
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uv_posed_body_no_orient = np.load(os.path.join(folder, 'uv_posed_body_no_orient' + filled + res_string, id + separator + frame_nr + '.npz')); uv_posed_body_no_orient = uv_posed_body_no_orient['uv_posed_body_no_orient' + filled]
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uv_posed_body_no_orient = np.load(os.path.join(folder, 'uv_posed_body_no_orient_2' + filled + res_string, id + separator + frame_nr + '.npz'))
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uv_posed_body_no_orient = uv_posed_body_no_orient['uv_posed_body_no_orient' + filled]
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item['uv_body_posed' + res_string] = uv_posed_body_no_orient
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@@ -318,8 +326,8 @@ if __name__ == '__main__':
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signature_dynamic = { 'id': (),
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# 'pose_shape': (72 + 11,),
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# 'uv_posed': (3, 512, 256,),
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#'uv_body_posed': (3, 512, 256,),
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# 'uv_body_posed_32': (3, 32, 16,),
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# 'uv_body_posed': (512, 256, 3),
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# 'uv_body_posed_32': (32, 16, 3),
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# 'mesh_body_posed': (14475, 3,),
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# 'mesh_posed': (14475, 3,),
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# 'mesh_unposed': (14475, 3,),
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@@ -341,13 +349,16 @@ if __name__ == '__main__':
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signature=signature_dynamic,
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use_filled=False,
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resolutions=[512],
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do_repeat=False)
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do_repeat=False,
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use_one_hot=True)
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static_dataset = StaticDataset(folder='/home/workspace/local-data/train',
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signature=signature_static,
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use_filled=False,
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resolutions=[512])
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# for i, batch in enumerate(dataset):
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# print(i)
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sum_uv = np.zeros((512, 256, 3), dtype=np.float32)
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@@ -375,11 +386,11 @@ if __name__ == '__main__':
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k = F[:,2]
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)]).show()
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np.save('custom_data/train_no_shape_avg_uv.npy', avg_garment)
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np.save('custom_data/train_no_shape_one_hot_avg_uv.npy', avg_garment)
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print()
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# print()
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pass
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# pass
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# uv_res = 256
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