opencv python 自動綠帽機

2021-09-07 12:23:34 字數 1374 閱讀 4932

具體內容,直接看注釋吧,該注釋的我都注釋掉了。

# coding:utf-8

import cv2

# 待檢測的路徑

imagepath = r'd://greenhat'

face_cascade = cv2.cascadeclassifier(r'd://greenhat//haarcascade_frontalface_default.xml')

# 讀取

image = cv2.imread(imagepath)

gray = cv2.cvtcolor(image,cv2.color_bgr2gray)

# 填上綠帽子的位址

gh = cv2.imread(r'd://greenhat')

# 探測中的人臉

faces = face_cascade.detectmultiscale(

gray,

scalefactor = 1.022,#需》1,越小的話,檢測越寬泛,調整引數用

minneighbors = 5,

minsize = (20,20),#最小腦袋

)print("發現個人臉!".format(len(faces)))

for(x,y,w,h) in faces:

gh2 = cv2.resize(gh, (0,0), fx=0.3, fy=0.3)

sp = gh2.shape

for x1 in range(0,sp[0]):

for y1 in range(0,sp[1]):

# 去掉白顏色,只留下綠顏色,直接特判rgb

if gh2[x1,y1,1]-gh2[x1,y1,0] > 60 and gh2[x1,y1,2] - gh2[x1,y1,1] > 7:

image[y-w+x1+12,x+y1]=gh2[x1,y1]

# 利用自帶的畫綠帽子

#cv2.rectangle(image,(x,y-3),(x+w,y),(0,255,0),thickness=3)

#cv2.circle(image,(x+int(w/2),y-4),2,(0,255,0),10)

cv2.imshow("find faces!",image)

cv2.waitkey(0)

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