Custom loss function in Keras
I’m working on a image class-incremental classifier approach using a CNN as a feature extractor and a fully-connected block for classifying.
I’m working on a image class-incremental classifier approach using a CNN as a feature extractor and a fully-connected block for classifying.
I’ve gone through the official doc. I’m having a hard time understanding what this function is used for and how it works. Can someone explain this in layman’s terms?
When photographing a sheet of paper (e.g. with phone camera), I get the following result (left image) (jpg download here). The desired result (processed manually with an image editing software) is on the right:
I’m trying to use OpenCV 2.1 to combine two images into one, with the two images placed adjacent to each other. In Python, I’m doing:
How do you convert a grayscale OpenCV image to black and white? I see a similar question has already been asked, but I’m using OpenCV 2.3, and the proposed solution no longer seems to work.
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