From e7fc0fbcd502797f8304071dcb15d0678db48d73 Mon Sep 17 00:00:00 2001 From: xiefangqi Date: Mon, 28 Sep 2020 15:35:10 +0800 Subject: [PATCH] minddata fix compose comment example --- mindspore/dataset/transforms/py_transforms.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/mindspore/dataset/transforms/py_transforms.py b/mindspore/dataset/transforms/py_transforms.py index 8033da88a2..610907586d 100644 --- a/mindspore/dataset/transforms/py_transforms.py +++ b/mindspore/dataset/transforms/py_transforms.py @@ -80,10 +80,10 @@ class Compose: >>> dataset = ds.ImageFolderDataset(dataset_dir, num_parallel_workers=8) >>> # create a list of transformations to be applied to the image data >>> transform = py_transforms.Compose([py_vision.Decode(), - >>> py_vision.RandomHorizontalFlip(0.5), - >>> py_vision.ToTensor(), - >>> py_vision.Normalize((0.491, 0.482, 0.447), (0.247, 0.243, 0.262)), - >>> py_vision.RandomErasing()]) + >>> py_vision.RandomHorizontalFlip(0.5), + >>> py_vision.ToTensor(), + >>> py_vision.Normalize((0.491, 0.482, 0.447), (0.247, 0.243, 0.262)), + >>> py_vision.RandomErasing()]) >>> # apply the transform to the dataset through dataset.map() >>> dataset = dataset.map(operations=transform, input_columns="image") >>> @@ -96,7 +96,7 @@ class Compose: >>> py_vision.RandomErasing()] >>> >>> # apply the transform to the dataset through dataset.map() - >>> dataset = dataset.map(operations=transform, input_columns="image") + >>> dataset = dataset.map(operations=transform_list, input_columns="image") >>> >>> # Certain C++ and Python ops can be combined, but not all of them >>> # An example of combined operations @@ -106,18 +106,18 @@ class Compose: >>> >>> data = ds.NumpySlicesDataset(arr, column_names=["cols"], shuffle=False) >>> transformed_list = [py_transforms.OneHotOp(2), c_transforms.Mask(c_transforms.Relational.EQ, 1)] - >>> data = data.map(operations=op_list, input_columns=["cols"]) + >>> data = data.map(operations=transformed_list, input_columns=["cols"]) >>> >>> # Here is an example of mixing vision ops >>> data_dir = "/path/to/imagefolder_directory" >>> data1 = ds.ImageFolderDataset(dataset_dir=data_dir, shuffle=False) >>> input_columns = ["column_names"] - >>> data1 = data1.map(operations=op_list, input_columns=input_columns) >>> op_list=[c_vision.Decode(), >>> c_vision.Resize((224, 244)), >>> py_vision.ToPIL(), >>> np.array, # need to convert PIL image to a NumPy array to pass it to C++ operation >>> c_vision.Resize((24, 24))] + >>> data1 = data1.map(operations=op_list, input_columns=input_columns) """ @check_compose_list