feat 新增人脸识别 中心点检测
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@@ -85,17 +85,17 @@ class GenerateImage:
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image_result = cv2.cvtColor(np.squeeze(image.astype(np.uint8)), cv2.COLOR_RGB2BGR)
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image_result = cv2.cvtColor(np.squeeze(image.astype(np.uint8)), cv2.COLOR_RGB2BGR)
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is_smudge = True
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is_smudge = True
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if self.category == "sketch":
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if self.category == "sketch":
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# 色阶调整
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cutoff = 1
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levels_img = autoLevels(image_result, cutoff)
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# 亮度调整
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luminance = luminance_adjust(0.3, levels_img)
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# 去背景
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remove_bg_image = remove_background(luminance)
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# 人脸检测
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# 人脸检测
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if face_detect_pic(image_result) > 0:
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if face_detect_pic(remove_bg_image) > 0:
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is_smudge = False
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is_smudge = False
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else:
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else:
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# 色阶调整
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cutoff = 1
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levels_img = autoLevels(image_result, cutoff)
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# 亮度调整
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luminance = luminance_adjust(0.3, levels_img)
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# 去背景
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remove_bg_image = remove_background(luminance)
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# 污点/
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# 污点/
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is_smudge, not_smudge_image = stain_detection(remove_bg_image)
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is_smudge, not_smudge_image = stain_detection(remove_bg_image)
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# 类型识别
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# 类型识别
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@@ -263,6 +263,12 @@ def face_detect_pic(image):
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# 3、检测人脸(用灰度图检测,返回人脸矩形坐标(4个角))
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# 3、检测人脸(用灰度图检测,返回人脸矩形坐标(4个角))
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faces_rect = face_detector.detectMultiScale(gray, 1.05, 3)
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faces_rect = face_detector.detectMultiScale(gray, 1.05, 3)
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if DEBUG:
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dst = image.copy()
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for x, y, w, h in faces_rect:
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cv2.rectangle(dst, (x, y), (x + w, y + h), (0, 0, 255), 3) # 画出矩形框
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cv2.imshow("", dst)
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cv2.waitKey(0)
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return len(faces_rect)
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return len(faces_rect)
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