質問編集履歴
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```python
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#OpenCVのインポート
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import cv2
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#カスケード型分類器に使用する分類器のデータ（xmlファイル）を読み込み
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HAAR_FILE = "/content/drive/My Drive/haarcascade_frontalface_default.xml"
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cascade = cv2.CascadeClassifier(HAAR_FILE)
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#画像ファイルの読み込み
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image_picture = "/content/drive/My Drive/a_resize.png"
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img = cv2.imread(image_picture)
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#グレースケールに変換する
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img_g = cv2.imread(image_picture,0)
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#カスケード型分類器を使用して画像ファイルから顔部分を検出する
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face = cascade.detectMultiScale(img_g)
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#顔の座標を表示する
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print(face)
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#顔部分を切り取る
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for x,y,w,h in face:
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face_cut = img[y:y+h, x:x+w]
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#白枠で顔を囲む
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for x,y,w,h in face:
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cv2.rectangle(img,(x,y),(x+w,y+h),(255,255,255),2)
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#画像の出力
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cv2.imwrite('face_cut.jpg', face_cut)
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cv2.imwrite('face_rectangle.jpg', img)
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```
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```error
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NameError Traceback (most recent call last)
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<ipython-input-10-1b361f5a4955> in <module>()
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25 #画像の出力
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---> 26 cv2.imwrite('face_cut.jpg', face_cut)
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cascade_path = "/content/drive/My Drive/haarcascade_frontalface_alt.xml"
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origin_image_path = "/content/drive/My Drive/a_resize.png"
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NameError: name 'face_cut' is not defined
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i=0
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image = cv2.imread(origin_image_path,0)
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cascade = cv2.CascadeClassifier(cascade_path)
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facerect = cascade.detectMultiScale(image, scaleFactor=1.1, minNeighbors=1, minSize=(10, 10))
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if len(facerect) > 0:
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for rect in facerect:
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# 顔だけ切り出して保存
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x = rect[0]
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y = rect[1]
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width = rect[2]
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height = rect[3]
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dst = image[y:y + height, x:x + width]
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save_path = dir_path + '/' + 'image(' + str(i) + ')' + '.png'
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#認識結果の保存
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cv2.imwrite(save_path, dst)
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print("save!")
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i += 1
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print("Finish")
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```
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1
書式変更
test
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test
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画像から顔を切り出して保存したいと考えています。
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print("Finish")
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```
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```error
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SystemError Traceback (most recent call last)
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<ipython-input-8-3cf9f5ef0f68> in <module>()
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9 image = cv2.imread(origin_image_path,0)
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---> 11 cascade = cv2.CascadeClassifier(cascade_path)
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12 facerect = cascade.detectMultiScale(image, scaleFactor=1.1, minNeighbors=1, minSize=(10, 10))
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SystemError: <class 'cv2.CascadeClassifier'> returned a result with an error set
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```
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