opencv學習haar分類器例程
阿新 • • 發佈:2019-01-05
# -*- coding: utf-8 -*-
import cv2
import sys
img = cv2.imread(sys.argv[1])
# 載入分類器
face_haar = cv2.CascadeClassifier("data/haarcascades/haarcascade_frontalface_default.xml")
eye_haar = cv2.CascadeClassifier("data/haarcascades/haarcascade_eye.xml")
# 把影象轉為黑白影象
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 檢測影象中的所有臉
faces = face_haar.detectMultiScale(gray_img, 1.3, 5)
for face_x,face_y,face_w,face_h in faces:
cv2.rectangle(img, (face_x, face_y), (face_x+face_w, face_y+face_h), (0,255,0), 2)
# 眼長在臉上
roi_gray_img = gray_img[face_y:face_y+face_h, face_x:face_x+face_w]
roi_img = img[face_y:face_y+face_h, face_x:face_x+face_w]
eyes = eye_haar.detectMultiScale(roi_gray_img, 1.3, 5)
for eye_x,eye_y,eye_w,eye_h in eyes:
cv2.rectangle(roi_img, (eye_x,eye_y), (eye_x+eye_w, eye_y+eye_h), (255,0,0), 2)
cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import sys
img = cv2.imread(sys.argv[1])
# 載入分類器
face_haar = cv2.CascadeClassifier("data/haarcascades/haarcascade_frontalface_default.xml")
eye_haar = cv2.CascadeClassifier("data/haarcascades/haarcascade_eye.xml")
# 把影象轉為黑白影象
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 檢測影象中的所有臉
faces = face_haar.detectMultiScale(gray_img, 1.3, 5)
for face_x,face_y,face_w,face_h in faces:
cv2.rectangle(img, (face_x, face_y), (face_x+face_w, face_y+face_h), (0,255,0), 2)
# 眼長在臉上
roi_gray_img = gray_img[face_y:face_y+face_h, face_x:face_x+face_w]
roi_img = img[face_y:face_y+face_h, face_x:face_x+face_w]
eyes = eye_haar.detectMultiScale(roi_gray_img, 1.3, 5)
for eye_x,eye_y,eye_w,eye_h in eyes:
cv2.rectangle(roi_img, (eye_x,eye_y), (eye_x+eye_w, eye_y+eye_h), (255,0,0), 2)
cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()