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class DatasetName:
w300 = '300W'
wflw = 'wflw'
class ModelArch:
ASMNet = 'ASMNet'
MNV2 = 'mobileNetV2'
class DatasetType:
data_type_train = 0
data_type_validation = 1
data_type_test = 2
class LearningConfig:
batch_size = 3
epochs = 150
pose_len = 3
class InputDataSize:
image_input_size = 224
pose_len = 3
class W300Conf:
W300W_prefix_path = '/media/ali/new_data/300W/' # --> local
train_pose = W300W_prefix_path + 'train_set/pose/'
train_annotation = W300W_prefix_path + 'train_set/annotations/'
train_image = W300W_prefix_path + 'train_set/images/'
test_annotation_path = W300W_prefix_path + 'test_set/annotations/'
test_image_path = W300W_prefix_path + 'test_set/images/'
num_of_landmarks = 68
class WflwConf:
Wflw_prefix_path = '/media/ali/new_data/wflw/' # --> local
train_pose = Wflw_prefix_path + 'train_set/pose/'
train_annotation = Wflw_prefix_path + 'train_set/annotations/'
train_image = Wflw_prefix_path + 'train_set/images/'
test_annotation_path = Wflw_prefix_path + 'test_set/annotations/'
test_image_path = Wflw_prefix_path + 'test_set/images/'
num_of_landmarks = 98 |