Python 类型错误：不支持 src 数据类型 = 17
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TypeError: src data type = 17 is not supported
提问by Law.X
I'm now in a program try to change pictures from normal to binaryzation.So i use opencv on python, but when i finish my problem in my home carry my code to my office it come up with a unknown error.So i come to here ,looking for help.
我现在在一个程序中尝试将图片从正常更改为二进制化。所以我在 python 上使用 opencv，但是当我在家里完成我的问题时，将我的代码带到我的办公室，它出现了一个未知错误。所以我来了在这里，寻求帮助。
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import cv2
im = Image.open('card.jpg')
img = np.array(im)
if img.ndim == 3:
img = img[:, :,0]
plt.gray()
ret, thresh1 = cv2.threshold(img, 50, 255, cv2.THRESH_BINARY)
plt.subplot(222)
plt.imshow(thresh1)
plt.show()
The traceback is
回溯是
Traceback (most recent call last): File "D:/tensorflow/opencv.py", line 12, in ret, thresh1 = cv2.threshold(img, 50, 255, cv2.THRESH_BINARY) TypeError: src data type = 17 is not supported
回溯（最近一次调用）：文件“D:/tensorflow/opencv.py”，第 12 行，在 ret，thresh1 = cv2.threshold(img, 50, 255, cv2.THRESH_BINARY) TypeError: src data type = 17 is不支持
回答by Miki
You can find a list of OpenCV types here.
您可以在此处找到 OpenCV 类型列表。
type = 17means that your image is a CV_8SC3, aka a 3 channel matrix of char. However, thresholdaccepts only
type = 17意味着您的图像是CV_8SC3，也就是 的 3 通道矩阵char。但是，threshold只接受
(single-channel, 8-bit or 32-bit floating point).
（单通道、8 位或 32 位浮点）。
which means that the type must be either CV_8UC1or CV_32FC1.
这意味着类型必须是CV_8UC1or CV_32FC1。
Check shapeand dtypeof your img, and adjust imgas required.
检查shape和dtype你的img，调整img的要求。
