質問編集履歴
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あああ
test
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cv2のKNearestが使えない
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cv2のKNearestが使えないああ
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test
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###サンプル
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```lang-python
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import cv2
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import numpy as np
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####### training part ###############
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samples = np.loadtxt('generalsamples.data',np.float32)
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responses = np.loadtxt('generalresponses.data',np.float32)
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responses = responses.reshape((responses.size,1))
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model = cv2.ml.KNearest_create()
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model.train(samples,responses)
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############################# testing part #########################
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im = cv2.imread('pi.png')
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out = np.zeros(im.shape,np.uint8)
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gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
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thresh = cv2.adaptiveThreshold(gray,255,1,1,11,2)
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contours,hierarchy = cv2.findContours(thresh,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)
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for cnt in contours:
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if cv2.contourArea(cnt)>50:
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[x,y,w,h] = cv2.boundingRect(cnt)
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if h>28:
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cv2.rectangle(im,(x,y),(x+w,y+h),(0,255,0),2)
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roi = thresh[y:y+h,x:x+w]
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roismall = cv2.resize(roi,(10,10))
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roismall = roismall.reshape((1,100))
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roismall = np.float32(roismall)
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retval, results, neigh_resp, dists = model.find_nearest(roismall, k = 1)
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string = str(int((results[0][0])))
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cv2.putText(out,string,(x,y+h),0,1,(0,255,0))
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cv2.imshow('im',im)
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cv2.imshow('out',out)
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cv2.waitKey(0)
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```
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###わからないこと
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90
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91
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pythonのopencvで数字認識をしようと、
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スタックオーバフローにあったサンプルを動かそうとしたところ、
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```lang-python
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@@ -29,3 +111,23 @@
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111
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30
112
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どなたか教えてください。
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cv2.ml~に変えて実行してみたところ
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```
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Traceback (most recent call last):
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File "suji_test.py", line 10, in <module>
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model.train(samples,responses)
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TypeError: only size-1 arrays can be converted to Python scalars
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```
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このようになりました
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これはどういういみですか？
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