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Extracting image features using PySpark-OpenCV on RDD data (i.e. SequeceFile is in Hadoop)

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Let me explain my experiment. I have convert the image files to sequencefile(SequenceWritable). Using java i.e from local drive to hadoop(HDFS) file. And trying to read this sequencefile from hadoop using pySpark. Here I am able to load the data in RDD. If trying to use this RDD with OpenCV function could not able to compile. I need help on this. code eg: import cv2 import numpy as np imageRdd = sc.sequenceFile("/user/GR5017759/Retinopathy/OutputSeq") R = cv2.imdecode(np.asarray(bytearray(imageRDD), dtype=np.uint8) =================================== error: TypeError: 'RDD' object is not iterable If you have any idea on this please help me.

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