質問編集履歴
2
エラー文を記載しました。
test
CHANGED
@@ -1 +1 @@
|
|
1
|
-
Python threshold()
|
1
|
+
Python threshold() 二値化
|
test
CHANGED
@@ -24,10 +24,44 @@
|
|
24
24
|
|
25
25
|
img=cv2.threshold(img,100,200,cv2.THRESH_BINARY_INV) #1
|
26
26
|
|
27
|
-
plp.imshow(img,
|
27
|
+
plp.imshow(img,cmap="gray")
|
28
28
|
|
29
29
|
```
|
30
30
|
|
31
31
|
|
32
32
|
|
33
33
|
また、あるサイトには#1の最後に[1]を付ければよいと書いてあったのですがこれはどういう意味ですか?
|
34
|
+
|
35
|
+
|
36
|
+
|
37
|
+
エラー文
|
38
|
+
|
39
|
+
VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
|
40
|
+
|
41
|
+
x = np.array(x, subok=True, copy=copy)
|
42
|
+
|
43
|
+
Traceback (most recent call last):
|
44
|
+
|
45
|
+
File "c:\Practice\trying.py", line 10, in <module>
|
46
|
+
|
47
|
+
plp.imshow(img,cmap="gray")
|
48
|
+
|
49
|
+
File "C:\Users\c7not\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\pyplot.py", line
|
50
|
+
|
51
|
+
2903, in imshow
|
52
|
+
|
53
|
+
__ret = gca().imshow(
|
54
|
+
|
55
|
+
File "C:\Users\c7not\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\__init__.py", line 1361, in inner
|
56
|
+
|
57
|
+
return func(ax, *map(sanitize_sequence, args), **kwargs)
|
58
|
+
|
59
|
+
File "C:\Users\c7not\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\axes\_axes.py", line 5609, in imshow
|
60
|
+
|
61
|
+
im.set_data(X)
|
62
|
+
|
63
|
+
File "C:\Users\c7not\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\image.py", line 700, in set_data
|
64
|
+
|
65
|
+
raise TypeError("Image data of dtype {} cannot be converted to "
|
66
|
+
|
67
|
+
TypeError: Image data of dtype object cannot be converted to float
|
1
コードに抜けている部分があったので修正しました。
test
CHANGED
File without changes
|
test
CHANGED
@@ -20,6 +20,8 @@
|
|
20
20
|
|
21
21
|
img=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
|
22
22
|
|
23
|
+
img=cv2.GaussianBlur(img,(7,7),0)
|
24
|
+
|
23
25
|
img=cv2.threshold(img,100,200,cv2.THRESH_BINARY_INV) #1
|
24
26
|
|
25
27
|
plp.imshow(img,gmap="gray")
|