remove redundant codes and comments

fluid/PaddleCV/video/datareader/nonlocal_reader.py

@@ -89,7 +89,7 @@ class NonlocalReader(DataReader):
                                **dataset_args)
         else:
             logger.info('Not implemented')
-            raise
+            raise NotImplementedError
 
 
 def video_fast_get_frame(video_path,
@@ -104,7 +104,6 @@ def video_fast_get_frame(video_path,
 
     sampledFrames = []
 
-    # n_frame <  sample area
     video_output = np.ndarray(shape=[length, height, width, 3], dtype=np.uint8)
 
     use_start_frm = start_frm
@@ -220,7 +219,6 @@ def make_reader(filelist, batch_size, sample_times, is_training, shuffle,
                 start_frm = -1
                 spatial_pos = -1
                 in_sample_times = 1
-            # print('label = ', label)
             label = np.array([label]).astype(np.int64)
             # 1, get rgb data for fixed length of frames
             try:
@@ -246,8 +244,6 @@ def make_reader(filelist, batch_size, sample_times, is_training, shuffle,
                              spatial_pos = spatial_pos)
 
             batch_out.append((rgbdata, label))
-            #elapsed_time = time.time() - start_time
-            #print('read item time ', elapsed_time)
             if len(batch_out) == batch_size:
                 yield batch_out
                 batch_out = []

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

@@ -34,7 +34,7 @@ class AttentionCluster(ModelBase):
         self.feature_dims = self.cfg.MODEL.feature_dims
         self.cluster_nums = self.cfg.MODEL.cluster_nums
         self.seg_num = self.cfg.MODEL.seg_num
-        self.class_num = self.cfg.MODEL.num_classes  #self.cfg.MODEL.class_num
+        self.class_num = self.cfg.MODEL.num_classes
         self.drop_rate = self.cfg.MODEL.drop_rate
 
         if self.mode == 'train':

fluid/PaddleCV/video/processdata/kinetics/video2pkl.py

@@ -46,11 +46,7 @@ f.close()
 def generate_pkl(entry):
     mode = entry[4]
     category = entry[0].strip('"')
-    #if ' ' in category:
-    #    category_dir = category.replace(' ', '_')
-    #else:
     category_dir = category
-    #video_path = os.path.join(entry[0], entry[1] + "_%06d"%int(entry[2]) + "_%06d"%int(entry[3]) + ".mp4")
     video_path = os.path.join(
         './',
         entry[1] + "_%06d" % int(entry[2]) + "_%06d" % int(entry[3]) + ".mp4")

fluid/PaddleCV/video/processdata/youtube8m/tf2pkl.py

@@ -142,11 +142,6 @@ class YT8MFrameFeatureReader(BaseReader):
 
         num_frames = tf.minimum(tf.shape(decoded_features)[0], max_frames)
 
-        #feature_matrix = Dequantize(decoded_features,
-        #                                  max_quantized_value,
-        #                                  min_quantized_value)
-        #feature_matrix = resize_axis(feature_matrix, 0, max_frames)
-
         feature_matrix = decoded_features
 
         return feature_matrix, num_frames