In early of this week, I found that each image was not resized. So, I thought the area value and convolution values could be wrong as each image resolution is different.
So, I applied resizimg logic for which I should change much even design.
By the way, I found the result of the work was worse than before. And my previous logic already reflect relative adjustment with different resolution.
I realized resizing image resolution could be harmful and make object recognition difficult.
Even if I spent much time in tight and busy schedule, I have learned the important lesson.
Yesterday, I recovered it to the previous one and I could fixed some bugs and improve performance better.
Of course, output data is not exact still. I should check it continuously.
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