remove reader and metrics in ModelBase

fluid/PaddleCV/video/models/attention_cluster/attention_cluster.py

@@ -143,21 +143,3 @@ class AttentionCluster(ModelBase):
             "https://paddlemodels.bj.bcebos.com/video_classification/attention_cluster_youtube8m.tar.gz"
         )
 
-    def create_dataset_args(self):
-        dataset_args = {}
-        dataset_args['num_classes'] = self.class_num
-        dataset_args['seg_num'] = self.seg_num
-        dataset_args['list'] = self.get_config_from_sec(self.mode, 'filelist')
-
-        if self.use_gpu and self.py_reader:
-            dataset_args['batch_size'] = int(self.batch_size / self.gpu_num)
-        else:
-            dataset_args['batch_size'] = self.batch_size
-
-        return dataset_args
-
-    def create_metrics_args(self):
-        metrics_args = {}
-        metrics_args['num_classes'] = self.class_num
-        metrics_args['topk'] = 20
-        return metrics_args

fluid/PaddleCV/video/models/model.py

@@ -58,52 +58,6 @@ class ModelNotFoundError(Exception):
         return msg
 
 
-class ModelConfig(object):
-    def __init__(self, cfg_file):
-        self.cfg_file = cfg_file
-        self.parser = ConfigParser()
-        self.cfg = AttrDict()
-
-    def parse(self):
-        self.parser.read(self.cfg_file)
-        for sec in self.parser.sections():
-            sec_dict = AttrDict()
-            for k, v in self.parser.items(sec):
-                try:
-                    v = eval(v)
-                except:
-                    pass
-                setattr(sec_dict, k, v)
-            setattr(self.cfg, sec.upper(), sec_dict)
-
-    def merge_configs(self, sec, cfg_dict):
-        sec_dict = getattr(self.cfg, sec.upper())
-        for k, v in cfg_dict.items():
-            if v is None:
-                continue
-            try:
-                if hasattr(sec_dict, k):
-                    setattr(sec_dict, k, v)
-            except:
-                pass
-
-    def get_config_from_sec(self, sec, item):
-        try:
-            if hasattr(self.cfg, sec):
-                sec_dict = getattr(self.cfg, sec)
-        except:
-            return None
-
-        try:
-            if hasattr(sec_dict, item):
-                return getattr(sec_dict, item)
-        except:
-            return None
-
-    def get_configs(self):
-        return self.cfg
-
-
 class ModelBase(object):
     def __init__(self, name, cfg, mode='train'):
         assert mode in ['train', 'valid', 'test', 'infer'], \
@@ -147,22 +101,6 @@ class ModelBase(object):
         "get feed inputs list"
         raise NotImplementError(self, self.feeds)
 
-    def create_dataset_args(self):
-        "get model reader"
-        raise NotImplementError(self, self.create_dataset_args)
-
-    def reader(self):
-        dataset_args = self.create_dataset_args()
-        return get_reader(self.name.upper(), self.mode, **dataset_args)
-
-    def create_metrics_args(self):
-        "get model reader"
-        raise NotImplementError(self, self.create_metrics_args)
-
-    def metrics(self):
-        metrics_args = self.create_metrics_args()
-        return get_metrics(self.name.upper(), self.mode, **metrics_args)
-
     def weights_info(self):
         "get model weight default path and download url"
         raise NotImplementError(self, self.weights_info)

fluid/PaddleCV/video/test.py

@@ -25,7 +25,6 @@ import models
 from datareader import get_reader
 from metrics import get_metrics
 
-logging.root.handlers = []
 FORMAT = '[%(levelname)s: %(filename)s: %(lineno)4d]: %(message)s'
 logging.basicConfig(level=logging.INFO, format=FORMAT, stream=sys.stdout)
 logger = logging.getLogger(__name__)

fluid/PaddleCV/video/train.py

@@ -26,7 +26,6 @@ from config import *
 from datareader import get_reader
 from metrics import get_metrics
 
-logging.root.handlers = []
 FORMAT = '[%(levelname)s: %(filename)s: %(lineno)4d]: %(message)s'
 logging.basicConfig(level=logging.INFO, format=FORMAT, stream=sys.stdout)
 logger = logging.getLogger(__name__)