Python DatasetPolicy.learn_weights示例

示例#1

文件： policy.py 项目： jizhihang/timely_object_recognition

 def test_learn_weights(self):
     dataset = Dataset("full_pascal_val")
     train_dataset = Dataset("full_pascal_train")
     dataset.images = dataset.images[:20]
     train_dataset.images = train_dataset.images[:20]
     dp = DatasetPolicy(dataset, train_dataset, self.weights_dataset_name, **self.config)
     weights = dp.learn_weights()

示例#2

 def test_learn_weights(self):
     dataset = Dataset('full_pascal_val')
     train_dataset = Dataset('full_pascal_train')
     dataset.images = dataset.images[:20]
     train_dataset.images = train_dataset.images[:20]
     dp = DatasetPolicy(dataset, train_dataset, self.weights_dataset_name,
                        **self.config)
     weights = dp.learn_weights()