diff --git a/greenhat/PyPy.py b/greenhat/PyPy.py
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+++ b/greenhat/PyPy.py
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+#coding = utf-8
+
+import cv2
+import dlib
+
+Base = 32
+img = 'ym.jpg'
+hat = 'ghat.png'
+Model = 'shape_predictor_5_face_landmarks.dat'
+
+image = cv2.imread(img)
+greenhat= cv2.imread(hat,-1)
+detector = dlib.get_frontal_face_detector()
+predictor = dlib.shape_predictor(Model)
+dets = detector(image,1)
+
+
+for face in dets:
+    left,right,top,bot=face.left(),face.right(),face.top(),face.bottom()
+    shape = predictor(image,face)
+    point1 = shape.part(0)
+    point2 = shape.part(2)
+    # Midx Midy 眼睛的中间点
+    Midx = (point1.x+point2.x)//2
+    Midy = (point1.y+point2.y)//2
+    # cv2.circle(image,(Midx,Midy),3,(0,255,0))
+    width = int((right-left)*2.25)
+    height = int(width*greenhat.shape[0]/greenhat.shape[1])
+    # 将要加上去的绿帽的形状
+    greenhat = cv2.resize(greenhat,(width,height),cv2.INTER_CUBIC)
+    # cv2.imshow("greenhat",greenhat)
+    # cv2.waitKey(0)
+    Addx = width//2
+    # 有一个值得注意的就是不能数组越界
+    r,g,b,alpha = cv2.split(greenhat)
+    for y in range(Midy-height,Midy):
+        if y+Base < 0 or y+Base >= image.shape[0]: continue
+        for x in range(Midx-Addx,Midx-Addx+width):
+            if x < 0 or x >= image.shape[1] : continue
+            tmpx,tmpy = x-Midx+Addx,y-Midy+height
+            if alpha[tmpy][tmpx] >= 100:
+                image[y+Base][x] = (r[tmpy][tmpx],g[tmpy][tmpx],b[tmpy][tmpx])
+
+
+cv2.imshow("output",image)
+cv2.imwrite("output.jpg",image)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
diff --git a/greenhat/ghat.png b/greenhat/ghat.png
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diff --git a/greenhat/output.jpg b/greenhat/output.jpg
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diff --git a/greenhat/shape_predictor_5_face_landmarks.txt b/greenhat/shape_predictor_5_face_landmarks.txt
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+++ b/greenhat/shape_predictor_5_face_landmarks.txt
@@ -0,0 +1 @@
+自行下载
diff --git a/greenhat/ym.jpg b/greenhat/ym.jpg
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