使用RGB数据将输入数据剪切到有效显示范围(对于浮点数为[0..1]，对于整数为[0..255]) [英] Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers)

问题描述

在将 MRI 切片转换为 PNG 格式后，我尝试对其运行图形切割算法.我一直遇到以下问题:

I tried to run the graph cut algorithm for a slice of an MRI after converting it into PNG format. I keep encountering the following problem:

Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).

即使将 vmin 和 vmax 设置如下:

This is even after setting vmin and vmax as follows:

plt.imshow(out, vmin=0, vmax=255)

推荐答案

在缩放 [0, 255] 范围后将图像投射到 np.uint8 将消除此警告.如 issue matplotlib 中的一项功能.

Cast the image to np.uint8 after scaling [0, 255] range will dismiss this warning. It seems like a feature in matplotlib, as discussed in this issue.

plt.imshow((out * 255).astype(np.uint8))

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