An error occurs when outputting an image via CSV. What is wrong in my code?

Question

Python

I am learning how to create an NS, I am trying to create a SNS according to the lecture. But I have a problem, when I try to display an image from a CSV table through opencv, an error appears. I'm a newbie, so don't be too harsh. Can anyone explain what is the error? If necessary, I can throw off the laptop with the full code

Below is part of the code

img mask
0 data\first\33-1.jpg data\mas\33-2.jpg
1 data\first\33-3.jpg data\mas\33-4. jpg
2 data\first\33-5.jpg data\mas\33-6.jpg
3 data\first\33-7.jpg data\mas\33-8.jpg
4 data\first\33-9.jpg data \mas\33-10.jpg
5 data\first\33-11.jpg data\mas\33-12.jpg
6 data\first\33-13.jpg data\mas\33-14.jpg
img, mask = train_df.iloc[6
]
img = cv2.imread('data/first/{}'.format(img_name))
mask = cv2.imread('data/mas/{}'.format(img_name)) ​​fig
, axes = plt.subplots (nrows=1, ncols=2, figsize=(25, 25)) cv2.imshow(mask[..., 0]) cv2.imshow(img) ​plt.show () fig, axes = plt.subplots( nrows=1, ncols=2, figsize=(25, 25)) axes[0].imshow(img) axes[1].imshow(mask) plt.show() ----------- -------------------------------------------------- -------------- TypeError Traceback (most recent call last) in 1 fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(25, 25)) 2 axes [0].imshow(img)
----> 3 axes[1].imshow(mask)
4 plt.show()

~\anaconda3\envs\deeplearning\lib\site-packages\matplotlib\__init__.py in inner(ax, data, *args, **kwargs)
1445 def inner(ax, *args, data=None, **kwargs):
1446 if data is None:
-> 1447 return func(ax, *map(sanitize_sequence, args), **kwargs)
1448
1449 bound = new_sig.bind(ax, *args, **kwargs)

~\anaconda3\envs\deeplearning\lib\site-packages\matplotlib\axes\_axes.py in imshow(self, X, cmap, norm, aspect, interpolation , alpha, vmin, vmax, origin, extent, filternorm, filterrad, resample, url, **kwargs)
5521 resample=resample, **kwargs)
5522
-> 5523 im.set_data(X)
5524 im.set_alpha(alpha)
5525 if im.get_clip_path() is None:

~\anaconda3\envs\deeplearning\lib\site-packages\matplotlib\image.py in set_data(self, A)
700 if (self._A. dtype != np.uint8 and
701 not np.can_cast(self._A.dtype, float, "same_kind")):
--> 702 raise TypeError("Image data of dtype {} cannot be converted to "
703 "float" .format(self._A.dtype))
704

TypeError: Image data of dtype object cannot be converted to float

Answer 1

img = cv2.imread('data/first/{}'.format(img_name))
mask = cv2.imread('data/mas/{}'.format(img_name))
First, you should specify cv2 as the second parameter. IMREAD_COLOR.
Secondly, check what is in the end in img and mask.
On error, imread() silently returns None rather than throwing an exception.