update annotation

dygraph/datasets/ade.py

@@ -30,7 +30,7 @@ class ADE20K(Dataset):
         dataset_root: The dataset directory.
         mode: Which part of dataset to use.. it is one of ('train', 'val'). Default: 'train'.
         transforms: Transforms for image.
-        download: Whether to download dataset if dataset_root is None.
+        download: Whether to download dataset if `dataset_root` is None.
     """
 
     def __init__(self,
@@ -46,23 +46,23 @@ class ADE20K(Dataset):
 
         if mode.lower() not in ['train', 'val']:
             raise Exception(
-                "mode should be one of ('train', 'val') in ADE20K dataset, but got {}."
+                "`mode` should be one of ('train', 'val') in ADE20K dataset, but got {}."
                 .format(mode))
 
         if self.transforms is None:
-            raise Exception("transforms is necessary, but it is None.")
+            raise Exception("`transforms` is necessary, but it is None.")
 
         if self.dataset_root is None:
             if not download:
                 raise Exception(
-                    "dataset_root not set and auto download disabled.")
+                    "`dataset_root` not set and auto download disabled.")
             self.dataset_root = download_file_and_uncompress(
                 url=URL,
                 savepath=DATA_HOME,
                 extrapath=DATA_HOME,
                 extraname='ADEChallengeData2016')
         elif not os.path.exists(self.dataset_root):
-            raise Exception('there is not dataset_root: {}.'.format(
+            raise Exception('there is not `dataset_root`: {}.'.format(
                 self.dataset_root))
 
         if mode == 'train':

dygraph/datasets/cityscapes.py

@@ -53,7 +53,7 @@ class Cityscapes(Dataset):
                     mode))
 
         if self.transforms is None:
-            raise Exception("transforms is necessary, but it is None.")
+            raise Exception("`transforms` is necessary, but it is None.")
 
         img_dir = os.path.join(self.dataset_root, 'leftImg8bit')
         grt_dir = os.path.join(self.dataset_root, 'gtFine')

dygraph/datasets/dataset.py

@@ -63,39 +63,40 @@ class Dataset(fluid.io.Dataset):
                     mode))
 
         if self.transforms is None:
-            raise Exception("transforms is necessary, but it is None.")
+            raise Exception("`transforms` is necessary, but it is None.")
 
         self.dataset_root = dataset_root
         if not os.path.exists(self.dataset_root):
-            raise Exception('there is not dataset_root: {}.'.format(
+            raise Exception('there is not `dataset_root`: {}.'.format(
                 self.dataset_root))
 
         if mode == 'train':
             if train_list is None:
                 raise Exception(
-                    'When mode is "train", train_list is necessary, but it is None.'
+                    'When `mode` is "train", `train_list` is necessary, but it is None.'
                 )
             elif not os.path.exists(train_list):
                 raise Exception(
-                    'train_list is not found: {}'.format(train_list))
+                    '`train_list` is not found: {}'.format(train_list))
             else:
                 file_list = train_list
         elif mode == 'val':
             if val_list is None:
                 raise Exception(
-                    'When mode is "val", val_list is necessary, but it is None.'
+                    'When `mode` is "val", `val_list` is necessary, but it is None.'
                 )
             elif not os.path.exists(val_list):
-                raise Exception('val_list is not found: {}'.format(val_list))
+                raise Exception('`val_list` is not found: {}'.format(val_list))
             else:
                 file_list = val_list
         else:
             if test_list is None:
                 raise Exception(
-                    'When mode is "test", test_list is necessary, but it is None.'
+                    'When `mode` is "test", `test_list` is necessary, but it is None.'
                 )
             elif not os.path.exists(test_list):
-                raise Exception('test_list is not found: {}'.format(test_list))
+                raise Exception(
+                    '`test_list` is not found: {}'.format(test_list))
             else:
                 file_list = test_list
 

dygraph/datasets/optic_disc_seg.py

@@ -35,19 +35,20 @@ class OpticDiscSeg(Dataset):
 
         if mode.lower() not in ['train', 'val', 'test']:
             raise Exception(
-                "mode should be 'train', 'val' or 'test', but got {}.".format(
+                "`mode` should be 'train', 'val' or 'test', but got {}.".format(
                     mode))
 
         if self.transforms is None:
-            raise Exception("transforms is necessary, but it is None.")
+            raise Exception("`transforms` is necessary, but it is None.")
 
         if self.dataset_root is None:
             if not download:
-                raise Exception("data_file not set and auto download disabled.")
+                raise Exception(
+                    "`data_root` not set and auto download disabled.")
             self.dataset_root = download_file_and_uncompress(
                 url=URL, savepath=DATA_HOME, extrapath=DATA_HOME)
         elif not os.path.exists(self.dataset_root):
-            raise Exception('there is not dataset_root: {}.'.format(
+            raise Exception('there is not `dataset_root`: {}.'.format(
                 self.dataset_root))
 
         if mode == 'train':

dygraph/datasets/voc.py

@@ -43,23 +43,23 @@ class PascalVOC(Dataset):
 
         if mode.lower() not in ['train', 'trainval', 'trainaug', 'val']:
             raise Exception(
-                "mode should be one of ('train', 'trainval', 'trainaug', 'val') in PascalVOC dataset, but got {}."
+                "`mode` should be one of ('train', 'trainval', 'trainaug', 'val') in PascalVOC dataset, but got {}."
                 .format(mode))
 
         if self.transforms is None:
-            raise Exception("transforms is necessary, but it is None.")
+            raise Exception("`transforms` is necessary, but it is None.")
 
         if self.dataset_root is None:
             if not download:
                 raise Exception(
-                    "dataset_root not set and auto download disabled.")
+                    "`dataset_root` not set and auto download disabled.")
             self.dataset_root = download_file_and_uncompress(
                 url=URL,
                 savepath=DATA_HOME,
                 extrapath=DATA_HOME,
                 extraname='VOCdevkit')
         elif not os.path.exists(self.dataset_root):
-            raise Exception('there is not dataset_root: {}.'.format(
+            raise Exception('there is not `dataset_root`: {}.'.format(
                 self.dataset_root))
 
         image_set_dir = os.path.join(self.dataset_root, 'VOC2012', 'ImageSets',
@@ -76,7 +76,7 @@ class PascalVOC(Dataset):
 
             if not os.path.exists(file_list_aug):
                 raise Exception(
-                    "When mode is 'trainaug', Pascal Voc dataset should be augmented, "
+                    "When `mode` is 'trainaug', Pascal Voc dataset should be augmented, "
                     "Please make sure voc_augment.py has been properly run when using this mode."
                 )
 

dygraph/infer.py

@@ -88,7 +88,7 @@ def main(args):
         else fluid.CPUPlace()
 
     if args.dataset not in DATASETS:
-        raise Exception('--dataset is invalid. it should be one of {}'.format(
+        raise Exception('`--dataset` is invalid. it should be one of {}'.format(
             str(list(DATASETS.keys()))))
     dataset = DATASETS[args.dataset]
 
@@ -101,7 +101,7 @@ def main(args):
 
         if args.model_name not in MODELS:
             raise Exception(
-                '--model_name is invalid. it should be one of {}'.format(
+                '`--model_name` is invalid. it should be one of {}'.format(
                     str(list(MODELS.keys()))))
         model = MODELS[args.model_name](num_classes=test_dataset.num_classes)
 

dygraph/train.py

@@ -13,21 +13,14 @@
 # limitations under the License.
 
 import argparse
-import os
 
 import paddle.fluid as fluid
 from paddle.fluid.dygraph.parallel import ParallelEnv
-from paddle.fluid.io import DataLoader
-from paddle.incubate.hapi.distributed import DistributedBatchSampler
 
 from datasets import DATASETS
 import transforms as T
 from models import MODELS
-import utils.logging as logging
 from utils import get_environ_info
-from utils import load_pretrained_model
-from utils import resume
-from utils import Timer, calculate_eta
 from core import train
 
 
@@ -141,7 +134,7 @@ def main(args):
         else fluid.CPUPlace()
 
     if args.dataset not in DATASETS:
-        raise Exception('--dataset is invalid. it should be one of {}'.format(
+        raise Exception('`--dataset` is invalid. it should be one of {}'.format(
             str(list(DATASETS.keys()))))
     dataset = DATASETS[args.dataset]
 
@@ -169,7 +162,7 @@ def main(args):
 
         if args.model_name not in MODELS:
             raise Exception(
-                '--model_name is invalid. it should be one of {}'.format(
+                '`--model_name` is invalid. it should be one of {}'.format(
                     str(list(MODELS.keys()))))
         model = MODELS[args.model_name](num_classes=train_dataset.num_classes)
 

dygraph/val.py

@@ -13,25 +13,14 @@
 # limitations under the License.
 
 import argparse
-import os
-import math
 
-import numpy as np
-import tqdm
-import cv2
-from paddle.fluid.dygraph.base import to_variable
 import paddle.fluid as fluid
 from paddle.fluid.dygraph.parallel import ParallelEnv
-from paddle.fluid.io import DataLoader
-from paddle.fluid.dataloader import BatchSampler
 
 from datasets import DATASETS
 import transforms as T
 from models import MODELS
-import utils.logging as logging
 from utils import get_environ_info
-from utils import ConfusionMatrix
-from utils import Timer, calculate_eta
 from core import evaluate
 
 
@@ -87,7 +76,7 @@ def main(args):
         else fluid.CPUPlace()
 
     if args.dataset not in DATASETS:
-        raise Exception('--dataset is invalid. it should be one of {}'.format(
+        raise Exception('`--dataset` is invalid. it should be one of {}'.format(
             str(list(DATASETS.keys()))))
     dataset = DATASETS[args.dataset]
 
@@ -100,7 +89,7 @@ def main(args):
 
         if args.model_name not in MODELS:
             raise Exception(
-                '--model_name is invalid. it should be one of {}'.format(
+                '`--model_name` is invalid. it should be one of {}'.format(
                     str(list(MODELS.keys()))))
         model = MODELS[args.model_name](num_classes=eval_dataset.num_classes)