‘delete’

greenhat/PyPy.py

@@ -1,48 +0,0 @@
-#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()

greenhat/shape_predictor_5_face_landmarks.txt

@@ -1 +0,0 @@
-自行下载