add handling of different resolutions
This commit is contained in:
+56
-26
@@ -54,22 +54,31 @@ class DatasetSimple(tf.data.Dataset):
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class StaticDataset():
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def __init__(self, folder, signature, use_filled=True) -> None:
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def __init__(self, folder, signature, use_filled=True, resolutions=[512]) -> None:
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self.store = dict()
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self.signature = signature
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self.folder = folder
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self.possible_keys = ['uv_static', 'mesh_static', 'mesh_mask', 'uv_mask', 'uv_shaped_body']
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assert set(resolutions).issubset(set([32, 128, 512]))
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self.possible_keys = ['uv_static', 'uv_static_32', 'uv_static_128' 'mesh_static', 'mesh_mask', 'uv_mask', 'uv_shaped_body']
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self.keys = [value for value in signature.keys() if value in self.possible_keys]
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filled = ''
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self.resolutions = resolutions
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self.filled = ''
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if use_filled:
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filled = '_filled'
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self.filled = '_filled'
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def read(self, id):
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data = dict()
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if 'uv_static' in self.signature.keys():
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uv_static = np.load(os.path.join(self.folder, 'uv_static' + filled, id + '.npz')); uv_static = uv_static['uv_static']; uv_static = np.transpose(uv_static, [2, 0, 1]); data['uv_static' + filled]=uv_static
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for res in self.resolutions:
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res_string = ''
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if res != 512:
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res_string = '_' + str(res)
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if 'uv_static' + res_string in self.signature.keys():
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uv_static = np.load(os.path.join(self.folder, 'uv_static' + self.filled + res_string, id + '.npz')); uv_static = uv_static['uv_static' + self.filled]; uv_static = np.transpose(uv_static, [2, 0, 1]); data['uv_static' + res_string] = uv_static
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if 'mesh_static' in self.signature.keys():
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mesh_static = np.load(os.path.join(self.folder, 'mesh_static', id + '.npz')); mesh_static = mesh_static['mesh_static']; data['mesh_static'] = mesh_static
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if 'mesh_mask' in self.signature.keys():
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@@ -124,14 +133,17 @@ class DatasetFactory():
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for key in signature.keys():
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if key == 'id':
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tf_signature.append(tf.TensorSpec(shape = (), dtype = tf.string))
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elif key == 'uv_curvature' or key == 'mesh_curvature':
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elif key == 'uv_curvature' or key == 'mesh_curvature' or key == 'uv_curvature_32' or key == 'uv_curvature_128':
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tf_signature.append(tf.TensorSpec(shape = signature[key], dtype = tf.int32))
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else:
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tf_signature.append(tf.TensorSpec(shape = signature[key], dtype = tf.float32))
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return tf_signature
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def get_dataset(self, folder, batch_size, signature, shuffle=True, use_filled=True):
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def get_dataset(self, folder, batch_size, signature, shuffle=True, use_filled=True, resolutions=[512]):
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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, 128, 512]))
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# static_data = StaticDataset(folder, signature)
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dataset_idx = DatasetIdx(folder, shuffle)
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filled = ''
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@@ -167,9 +179,7 @@ class DatasetFactory():
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# if 'mesh_posed_body_no_orient' in signature.keys():
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# mesh_posed_body_no_orient = np.load(os.path.join(folder, 'mesh_posed_body_no_orient', id + '_' + frame_nr + '.npz')); mesh_posed_body_no_orient = mesh_posed_body_no_orient['mesh_posed_body_no_orient']
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# item['mesh_posed_body_no_orient'] = mesh_posed_body_no_orient
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if 'uv_body_posed' in signature.keys():
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uv_posed_body_no_orient = np.load(os.path.join(folder, 'uv_posed_body_no_orient' + filled, id + '_' + frame_nr + '.npz')); uv_posed_body_no_orient = uv_posed_body_no_orient['uv_posed_body_no_orient' + filled]; uv_posed_body_no_orient = np.transpose(uv_posed_body_no_orient, [2, 0, 1])
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item['uv_body_posed'] = uv_posed_body_no_orient
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if 'mesh_body_posed' in signature.keys():
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mesh_posed_body_no_orient = np.load(os.path.join(folder, 'mesh_posed_body_no_orient', id + '_' + frame_nr + '.npz')); mesh_posed_body_no_orient = mesh_posed_body_no_orient['mesh_posed_body_no_orient']
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item['mesh_body_posed'] = mesh_posed_body_no_orient
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@@ -185,20 +195,35 @@ class DatasetFactory():
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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 + '_' + 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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if 'uv_unposed' in signature.keys():
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uv_unposed_no_shape = np.load(os.path.join(folder, 'uv_unposed_no_shape' + filled, id + '_' + frame_nr + '.npz')); uv_unposed_no_shape = uv_unposed_no_shape['uv_unposed_no_shape' + filled]; uv_unposed_no_shape = np.transpose(uv_unposed_no_shape, [2, 0, 1])
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item['uv_unposed'] = uv_unposed_no_shape
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if 'uv_curvature' in signature.keys():
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uv_curvature = np.load(os.path.join(folder, 'uv_curvature' + filled, id + '_' + frame_nr + '.npz'));
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if filled != '':
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uv_curvature = uv_curvature['uv_curvature' + filled]
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else:
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uv_curvature = uv_curvature['curvature_uv']
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item['uv_curvature'] = uv_curvature.astype(np.int32)
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if 'mesh_curvature' in signature.keys():
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mesh_curvature = np.load(os.path.join(folder, 'mesh_curvature', id + '_' + frame_nr + '.npz')); mesh_curvature = mesh_curvature['mesh_curvature']
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item['mesh_curvature'] = mesh_curvature.astype(np.int32)
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for res in resolutions:
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res_string = ''
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if res != 512:
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res_string = '_' + str(res)
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if 'uv_curvature' + res_string in signature.keys():
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uv_curvature = np.load(os.path.join(folder, 'uv_curvature' + filled + res_string, id + '_' + frame_nr + '.npz'));
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if filled != '':
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uv_curvature = uv_curvature['uv_curvature' + filled]
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else:
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uv_curvature = uv_curvature['curvature_uv']
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item['uv_curvature' + res_string] = uv_curvature.astype(np.int32)
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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 + '_' + frame_nr + '.npz')); uv_unposed_no_shape = uv_unposed_no_shape['uv_unposed_no_shape' + filled]; uv_unposed_no_shape = np.transpose(uv_unposed_no_shape, [2, 0, 1])
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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 + '_' + frame_nr + '.npz')); uv_posed_body_no_orient = uv_posed_body_no_orient['uv_posed_body_no_orient' + filled]; uv_posed_body_no_orient = np.transpose(uv_posed_body_no_orient, [2, 0, 1])
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item['uv_body_posed' + res_string] = uv_posed_body_no_orient
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# item = { **static_info, **item }
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as_list = []
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for key in signature.keys():
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@@ -250,15 +275,18 @@ 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': (3, 512, 256,),
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'uv_body_posed_32': (3, 32, 16,),
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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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'uv_unposed': (3, 512, 256,),
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#'uv_unposed': (3, 512, 256,),
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'uv_unposed_32': (3, 32, 16,),
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# 'uv_curvature': (512, 256),
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# 'mesh_curvature': (14475)
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}
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signature_static = { #'uv_static': (3, 512, 256,),
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'uv_static_32': (3, 32, 16,),
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# 'mesh_static': (14475, 3,),
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# 'mesh_mask': (14475,),
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'uv_mask': (512, 256,),
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@@ -266,12 +294,14 @@ if __name__ == '__main__':
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}
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dataset = factory.get_dataset(folder='/home/workspace/local-data/train_100',
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batch_size=300,
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batch_size=4,
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signature=signature_dynamic,
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use_filled=False)
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use_filled=True,
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resolutions=[32])
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static_dataset = StaticDataset(folder='/home/workspace/local-data/train_100',
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signature=signature_static,
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use_filled=False)
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use_filled=True,
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resolutions=[32])
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