Как сгладить неровные края на выходе маски сегментации из модели глубокого обучения? ⇐ Python
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Anonymous
Как сгладить неровные края на выходе маски сегментации из модели глубокого обучения?
I’m currently engaged in a project where I utilize a deep learning model to generate segmentation masks. However, I’ve encountered a persistent challenge with the jagged edges on the masks outputted by my model. This issue becomes particularly noticeable when plotting the masks, as evidenced by the attached image. I’m reaching out to seek any insights or suggestions that could help resolve these jagged edges when I want to visualize the mask.
Thank you for your time and assistance!
Applying Gaussian Blurring: I applied Gaussian blur to the masks in an attempt to smooth out the edges. I expected this to create a softer transition at the boundaries of the masks, reducing the jagged appearance.
still stair-stepped appearance and the Gaussian blur made the masks too indistinct.
Источник: https://stackoverflow.com/questions/780 ... ning-model
I’m currently engaged in a project where I utilize a deep learning model to generate segmentation masks. However, I’ve encountered a persistent challenge with the jagged edges on the masks outputted by my model. This issue becomes particularly noticeable when plotting the masks, as evidenced by the attached image. I’m reaching out to seek any insights or suggestions that could help resolve these jagged edges when I want to visualize the mask.
Thank you for your time and assistance!
Applying Gaussian Blurring: I applied Gaussian blur to the masks in an attempt to smooth out the edges. I expected this to create a softer transition at the boundaries of the masks, reducing the jagged appearance.
still stair-stepped appearance and the Gaussian blur made the masks too indistinct.
Источник: https://stackoverflow.com/questions/780 ... ning-model
