i am having a little bit of experience in KNIME, but not with Image-Processing…
What am i doing?
I am reading a CSV file and a png Image. The Image is the air route from a drone. The CSV file is full of alle information - regarding altitude hold, GPS coordinates and so on… with these information i am trying to develop a Deep Learning network with Keras. So that in the end - Keras can decide, how good the pilot has flown the maneuver.
I’m not entirely clear on your use case, but I’ll try to speak to the topic a little.
Combining CSV data and Image data to be used as inputs for a Keras network is definitely possible in KNIME. Here’s an example that uses images as inputs to a deep learning model.
As to your question about reading in colored images, yes that is possible, the image reader will keep all of the color channels by default.
What extra information do you hope to extract from the image that wouldn’t be included in the gps, altitude, etc data in the csv?
i solved it. Problem was that Apple has its own interpretation of png files… The Screenshot was saved as png (apple style) and the KNIME image reader wasn’t able to read it, except the x and y axis. The coloured part z axis was missing.
How to solve?
convert the png mac Screenshot into a JPEG.
It would be great if KNIME could prevent a solution for that
Thanks for sharing that solution!
I work on a windows laptop and wouldn’t have thought to try that.
I’m curious if the png screenshot was just oriented differently, in which case the Dimension Swapper might be useful as a way to fix it without converting file types.