#
# Copyright 2018 Analytics Zoo Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import sys
from zoo.common.utils import callZooFunc
if sys.version >= '3':
long = int
unicode = str
[docs]class NNImageReader:
"""
Primary DataFrame-based image loading interface, defining API to read images from files
to DataFrame.
"""
[docs] @staticmethod
def readImages(path, sc=None, minPartitions=1, resizeH=-1, resizeW=-1,
image_codec=-1, bigdl_type="float"):
"""
Read the directory of images into DataFrame from the local or remote source.
:param path Directory to the input data files, the path can be comma separated paths as the
list of inputs. Wildcards path are supported similarly to sc.binaryFiles(path).
:param min_partitions A suggestion value of the minimal splitting number for input data.
:param resizeH height after resize, by default is -1 which will not resize the image
:param resizeW width after resize, by default is -1 which will not resize the image
:param image_codec specifying the color type of a loaded image, same as in OpenCV.imread.
By default is Imgcodecs.CV_LOAD_IMAGE_UNCHANGED(-1).
>0 Return a 3-channel color image. Note In the current implementation the
alpha channel, if any, is stripped from the output image. Use negative value
if you need the alpha channel.
=0 Return a grayscale image.
<0 Return the loaded image as is (with alpha channel if any).
:return DataFrame with a single column "image"; Each record in the column represents
one image record: Row (uri, height, width, channels, CvType, bytes).
"""
df = callZooFunc(bigdl_type, "nnReadImage", path, sc, minPartitions, resizeH,
resizeW, image_codec)
df._sc._jsc = sc._jsc
return df