processors#

class aiearth.predict.processors.ArgmaxProcessor(columns: List[str])[源代码]#

基类：Processor

pandas_udf(df: DataFrame)[源代码]#
class aiearth.predict.processors.Chw2HwcProcessor(columns: List[str])[源代码]#

基类：Processor

pandas_udf(df: DataFrame)[源代码]#
class aiearth.predict.processors.Hwc2ChwProcessor(columns: List[str])[源代码]#

基类：Processor

pandas_udf(df: DataFrame)[源代码]#
class aiearth.predict.processors.MaskBinarizationProcessor(columns: List[str], mask_threshold, fill_value=1)[源代码]#

基类：Processor

pandas_udf(df: DataFrame)[源代码]#
class aiearth.predict.processors.MeanNormProcessor(columns: List[str], mean, norm)[源代码]#

基类：Processor

pandas_udf(df: DataFrame)[源代码]#
class aiearth.predict.processors.Processor[源代码]#

基类：Preprocessor

abstract pandas_udf(df: DataFrame) → DataFrame[源代码]#
set_batch_size(batch_size)[源代码]#
set_num_cpus(num_cpus)[源代码]#
set_num_gpus(num_gpus)[源代码]#
class aiearth.predict.processors.RGB2GrayProcessor(columns: List[str])[源代码]#

基类：Processor

pandas_udf(df: DataFrame)[源代码]#
class aiearth.predict.processors.SqueezeNdimProcessor(columns: List[str])[源代码]#

基类：Processor

pandas_udf(df: DataFrame)[源代码]#