質問編集履歴
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コード追加
test
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test
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@@ -113,3 +113,85 @@
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cv2.imwrite('/content/drive/My Drive/eye/塗りつぶし.png',img)
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```
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見よう見まねで記述したコード
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```
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from google.colab import drive
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drive.mount('/content/drive')
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from __future__ import print_function
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import cv2
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image_count =100
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# 顔検出インスタンス生成
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cascadePath = '/content/drive/My Drive/opencv-master/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml'
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faceCascade = cv2.CascadeClassifier(cascadePath)
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# 画像ファイル読み込み
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for i in range(image_count):
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img = cv2.imread('/content/drive/My Drive/eye/A/'+'('+str(i+1)+')'+'.jpg',cv2.IMREAD_COLOR)
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# 最小Windowサイズを定義
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minW = 0.1*640
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minH = 0.1*480
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# グレースケールに変換
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gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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# 顔検出
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faces = faceCascade.detectMultiScale(
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gray,
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scaleFactor = 1.2,
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minNeighbors = 3,
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minSize = (int(minW), int(minH)),
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)
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# 検出領域を塗りつぶすためのループ
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for x, y, w, h in faces:
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img [y: y + h, x: x + w] = [0, 0, 0] #色指定
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# 画像保存
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cv2.imwrite('/content/drive/My Drive/eye/'+'('+str(i+1)+')' + '.jpg',img)
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# Do a bit of cleanup
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print("\n Exit Program")
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```
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