diff --git a/models/Model_SAEHD/Model.py b/models/Model_SAEHD/Model.py index 69a7172..0915603 100644 --- a/models/Model_SAEHD/Model.py +++ b/models/Model_SAEHD/Model.py @@ -575,7 +575,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ... {'sample_type': SampleProcessor.SampleType.FACE_IMAGE,'warp':False , 'transform':True, 'channel_type' : SampleProcessor.ChannelType.BGR, 'ct_mode': ct_mode, 'face_type':self.face_type, 'data_format':nn.data_format, 'resolution': resolution}, {'sample_type': SampleProcessor.SampleType.FACE_MASK, 'warp':False , 'transform':True, 'channel_type' : SampleProcessor.ChannelType.G, 'face_mask_type' : SampleProcessor.FaceMaskType.FULL_FACE_EYES, 'face_type':self.face_type, 'data_format':nn.data_format, 'resolution': resolution}, ], - uniform_yaw_distribution=self.options['uniform_yaw'], + uniform_yaw_distribution=self.options['uniform_yaw'] or self.pretrain, generators_count=src_generators_count ), SampleGeneratorFace(training_data_dst_path, debug=self.is_debug(), batch_size=self.get_batch_size(), @@ -584,7 +584,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ... {'sample_type': SampleProcessor.SampleType.FACE_IMAGE,'warp':False , 'transform':True, 'channel_type' : SampleProcessor.ChannelType.BGR, 'face_type':self.face_type, 'data_format':nn.data_format, 'resolution': resolution}, {'sample_type': SampleProcessor.SampleType.FACE_MASK, 'warp':False , 'transform':True, 'channel_type' : SampleProcessor.ChannelType.G, 'face_mask_type' : SampleProcessor.FaceMaskType.FULL_FACE_EYES, 'face_type':self.face_type, 'data_format':nn.data_format, 'resolution': resolution}, ], - uniform_yaw_distribution=self.options['uniform_yaw'], + uniform_yaw_distribution=self.options['uniform_yaw'] or self.pretrain, generators_count=dst_generators_count ) ])