It won't be very efficient but you could write a python UDF using
PythonMagick - https://wiki.python.org/moin/ImageMagick
If you have PyArrow > 0.10 then you might be able to get a boost by saving
images in a column as BinaryType and writing a PandasUDF.
On Wed, Jul 31, 2019 at 6:22 AM Nick Dawes <nickdawe...@gmail.com> wrote:
> Any other way of resizing the image before creating the DataFrame in
> Spark? I know opencv does it. But I don't have opencv on my cluster. I have
> Anaconda python packages installed on my cluster.
>
> Any ideas will be appreciated. Thank you!
>
> On Tue, Jul 30, 2019, 4:17 PM Nick Dawes <nickdawe...@gmail.com> wrote:
>
>> Hi
>>
>> I'm new to spark image data source.
>>
>> After creating a dataframe using Spark's image data source, I would like
>> to resize the images in PySpark.
>>
>> df = spark.read.format("image").load(imageDir)
>>
>> Can you please help me with this?
>>
>> Nick
>>
>
--
*Patrick McCarthy *
Senior Data Scientist, Machine Learning Engineering
Dstillery
470 Park Ave South, 17th Floor, NYC 10016
