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Apache Spark commented on SPARK-22730: -------------------------------------- User 'tomasatdatabricks' has created a pull request for this issue: https://github.com/apache/spark/pull/20168 > Add support for non-integer image formats > ----------------------------------------- > > Key: SPARK-22730 > URL: https://issues.apache.org/jira/browse/SPARK-22730 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 2.3.0 > Reporter: Tomas Nykodym > > The conversion functions toImage and toNDArray provided by ImageSchema > currently do not support non-integer image formats. > Therefore, users who want to work with both integer and floating point > formats have to write their own versions. > Related to this problem is the lack of description of supported openCV modes > (e.g. number of channels, data type). > This tickets is based on our implementation in spark-deep learning and aims > to bring this functionality to the ImageSchema. > To be more specific, we want to > 1. update toImage and toNDArray functions to handle float32(64) based > images. > See > https://github.com/tomasatdatabricks/spark-deep-learning/blob/92217afcfdb3f0a42540f396d9018d75ffa6ba7c/python/sparkdl/image/imageIO.py#L61-L87 > 2. add information about individual OpenCv modes, e.g. > See > https://github.com/tomasatdatabricks/spark-deep-learning/blob/92217afcfdb3f0a42540f396d9018d75ffa6ba7c/python/sparkdl/image/imageIO.py#L31-L46 -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org