Fixes model_zoo with minddata API change

mindspore/dataset/vision/c_transforms.py

@@ -26,7 +26,7 @@ to improve their training models.
         >>> import mindspore.dataset as ds
         >>> import mindspore.dataset.transforms.c_transforms as c_transforms
         >>> import mindspore.dataset.vision.c_transforms as c_vision
-        >>> from mindspore.dataset.transforms.vision.utils import Border, ImageBatchFormat, Inter
+        >>> from mindspore.dataset.vision.utils import Border, ImageBatchFormat, Inter
 
         >>> dataset_dir = "path/to/imagefolder_directory"
         >>> # create a dataset that reads all files in dataset_dir with 8 threads

model_zoo/official/cv/alexnet/src/dataset.py

@@ -18,7 +18,7 @@ Produce the dataset
 
 import mindspore.dataset as ds
 import mindspore.dataset.transforms.c_transforms as C
-import mindspore.dataset.transforms.vision.c_transforms as CV
+import mindspore.dataset.vision.c_transforms as CV
 from mindspore.common import dtype as mstype
 from .config import alexnet_cfg as cfg
 

model_zoo/official/cv/faster_rcnn/src/dataset.py

@@ -22,7 +22,7 @@ from numpy import random
 
 import mmcv
 import mindspore.dataset as de
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 import mindspore.dataset.transforms.c_transforms as CC
 import mindspore.common.dtype as mstype
 from mindspore.mindrecord import FileWriter

model_zoo/official/cv/googlenet/src/dataset.py

@@ -20,7 +20,7 @@ import os
 import mindspore.common.dtype as mstype
 import mindspore.dataset as ds
 import mindspore.dataset.transforms.c_transforms as C
-import mindspore.dataset.transforms.vision.c_transforms as vision
+import mindspore.dataset.vision.c_transforms as vision
 from src.config import cifar_cfg as cfg
 
 

model_zoo/official/cv/inceptionv3/src/dataset.py

@@ -18,7 +18,7 @@ Data operations, will be used in train.py and eval.py
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
 import mindspore.dataset.transforms.c_transforms as C2
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 from src.config import config_gpu as cfg
 
 

model_zoo/official/cv/lenet/src/dataset.py

@@ -17,9 +17,9 @@ Produce the dataset
 """
 
 import mindspore.dataset as ds
-import mindspore.dataset.transforms.vision.c_transforms as CV
+import mindspore.dataset.vision.c_transforms as CV
 import mindspore.dataset.transforms.c_transforms as C
-from mindspore.dataset.transforms.vision import Inter
+from mindspore.dataset.vision import Inter
 from mindspore.common import dtype as mstype
 
 

model_zoo/official/cv/lenet_quant/src/dataset.py

@@ -17,9 +17,9 @@ Produce the dataset
 """
 
 import mindspore.dataset as ds
-import mindspore.dataset.transforms.vision.c_transforms as CV
+import mindspore.dataset.vision.c_transforms as CV
 import mindspore.dataset.transforms.c_transforms as C
-from mindspore.dataset.transforms.vision import Inter
+from mindspore.dataset.vision import Inter
 from mindspore.common import dtype as mstype
 
 

model_zoo/official/cv/maskrcnn/src/dataset.py

@@ -22,7 +22,7 @@ from numpy import random
 
 import mmcv
 import mindspore.dataset as de
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 from mindspore.mindrecord import FileWriter
 from src.config import config
 import cv2

model_zoo/official/cv/mobilenetv2/src/dataset.py

@@ -23,7 +23,7 @@ from mindspore import Tensor
 from mindspore.train.model import Model
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 import mindspore.dataset.transforms.c_transforms as C2
 
 

model_zoo/official/cv/mobilenetv2_quant/src/dataset.py

@@ -19,9 +19,9 @@ import os
 from functools import partial
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 import mindspore.dataset.transforms.c_transforms as C2
-import mindspore.dataset.transforms.py_transforms
+import mindspore.dataset.transforms.py_transforms as P2
 import mindspore.dataset.vision.py_transforms as P
 
 
@@ -150,7 +150,7 @@ def create_dataset_py(dataset_path, do_train, config, device_target, repeat_num=
     else:
         trans = [decode_op, resize_op, center_crop, to_tensor, normalize_op]
 
-    compose = mindspore.dataset.transforms.py_transforms.Compose(trans)
+    compose = P2.Compose(trans)
 
     ds = ds.map(input_columns="image", operations=compose, num_parallel_workers=8, python_multiprocessing=True)
 

model_zoo/official/cv/mobilenetv3/src/dataset.py

@@ -17,7 +17,7 @@ create train or eval dataset.
 """
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 import mindspore.dataset.transforms.c_transforms as C2
 
 

model_zoo/official/cv/nasnet/src/dataset.py

@@ -18,7 +18,7 @@ Data operations, will be used in train.py and eval.py
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
 import mindspore.dataset.transforms.c_transforms as C2
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 
 
 def create_dataset(dataset_path, config, do_train, repeat_num=1):

model_zoo/official/cv/resnet/src/dataset.py

@@ -18,7 +18,7 @@ create train or eval dataset.
 import os
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 import mindspore.dataset.transforms.c_transforms as C2
 from mindspore.communication.management import init, get_rank, get_group_size
 

model_zoo/official/cv/resnet50_quant/src/dataset.py

@@ -19,9 +19,9 @@ import os
 from functools import partial
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
-import mindspore.dataset.transforms.vision.c_transforms as C
 import mindspore.dataset.transforms.c_transforms as C2
-import mindspore.dataset.transforms.py_transforms
+import mindspore.dataset.vision.c_transforms as C
+import mindspore.dataset.transforms.py_transforms as P2
 import mindspore.dataset.vision.py_transforms as P
 from mindspore.communication.management import init, get_rank, get_group_size
 from src.config import config_quant
@@ -146,7 +146,7 @@ def create_dataset_py(dataset_path, do_train, repeat_num=1, batch_size=32, targe
     else:
         trans = [decode_op, resize_op, center_crop, to_tensor, normalize_op]
 
-    compose = mindspore.dataset.transforms.py_transforms.Compose(trans)
+    compose = P2.Compose(trans)
     ds = ds.map(input_columns="image", operations=compose, num_parallel_workers=8, python_multiprocessing=True)
 
     # apply batch operations

model_zoo/official/cv/resnet_thor/src/dataset.py

@@ -18,7 +18,7 @@ create train or eval dataset.
 import os
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 import mindspore.dataset.transforms.c_transforms as C2
 from mindspore.communication.management import init, get_rank, get_group_size
 

model_zoo/official/cv/resnext50/src/dataset.py

@@ -19,7 +19,7 @@ import os
 from mindspore.common import dtype as mstype
 import mindspore.dataset as de
 import mindspore.dataset.transforms.c_transforms as C
-import mindspore.dataset.transforms.vision.c_transforms as V_C
+import mindspore.dataset.vision.c_transforms as V_C
 from PIL import Image, ImageFile
 from src.utils.sampler import DistributedSampler
 

model_zoo/official/cv/shufflenetv2/src/dataset.py

@@ -21,7 +21,7 @@ from src.config import config_gpu as cfg
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
 import mindspore.dataset.transforms.c_transforms as C2
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 
 
 class toBGR():

model_zoo/official/cv/ssd/src/dataset.py

@@ -24,7 +24,7 @@ import numpy as np
 import cv2
 
 import mindspore.dataset as de
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 from mindspore.mindrecord import FileWriter
 from .config import config
 from .box_utils import jaccard_numpy, ssd_bboxes_encode

model_zoo/official/cv/vgg16/src/dataset.py

@@ -19,7 +19,7 @@ import os
 from mindspore.common import dtype as mstype
 import mindspore.dataset as de
 import mindspore.dataset.transforms.c_transforms as C
-import mindspore.dataset.transforms.vision.c_transforms as vision
+import mindspore.dataset.vision.c_transforms as vision
 from PIL import Image, ImageFile
 from src.utils.sampler import DistributedSampler
 

model_zoo/official/cv/warpctc/src/dataset.py

@@ -19,7 +19,7 @@ import numpy as np
 import mindspore.common.dtype as mstype
 import mindspore.dataset.engine as de
 import mindspore.dataset.transforms.c_transforms as c
-import mindspore.dataset.transforms.vision.c_transforms as vc
+import mindspore.dataset.vision.c_transforms as vc
 from PIL import Image
 from src.config import config as cf
 

model_zoo/official/cv/yolov3_darknet53/src/yolo_dataset.py

@@ -19,7 +19,7 @@ import multiprocessing
 from PIL import Image
 from pycocotools.coco import COCO
 import mindspore.dataset as de
-import mindspore.dataset.transforms.vision.c_transforms as CV
+import mindspore.dataset.vision.c_transforms as CV
 
 from src.distributed_sampler import DistributedSampler
 from src.transforms import reshape_fn, MultiScaleTrans

model_zoo/official/cv/yolov3_darknet53_quant/src/yolo_dataset.py

@@ -18,7 +18,7 @@ import os
 from PIL import Image
 from pycocotools.coco import COCO
 import mindspore.dataset as de
-import mindspore.dataset.transforms.vision.c_transforms as CV
+import mindspore.dataset.vision.c_transforms as CV
 
 from src.distributed_sampler import DistributedSampler
 from src.transforms import reshape_fn, MultiScaleTrans

model_zoo/official/cv/yolov3_resnet18/src/dataset.py

@@ -22,7 +22,7 @@ from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
 from PIL import Image
 import mindspore.dataset as de
 from mindspore.mindrecord import FileWriter
-import mindspore.dataset.transforms.vision.c_transforms as C
+import mindspore.dataset.vision.c_transforms as C
 from src.config import ConfigYOLOV3ResNet18
 
 iter_cnt = 0