#coding:utf-8
import cv2 as cv

# 讀取原始圖像
img = cv.imread('face.png')

# 調(diào)用熟悉的人臉分類器 識(shí)別特征類型
# 人臉 - haarcascade_frontalface_default.xml
# 人眼 - haarcascade_eye.xml
# 微笑 - haarcascade_smile.xml
face_detect = cv.CascadeClassifier('haarcascade_frontalface_default.xml')
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)

# 檢查人臉 按照1.1倍放到 周圍最小像素為5
face_zone = face_detect.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)
print ('識(shí)別人臉的信息：',face_zone)

# 繪制矩形和圓形檢測(cè)人臉
for x, y, w, h in face_zone:
  # 繪制矩形人臉區(qū)域 thickness表示線的粗細(xì)
  cv.rectangle(img, pt1=(x, y), pt2=(x+w, y+h),color=[0,0,255], thickness=2)
  # 繪制圓形人臉區(qū)域 radius表示半徑
  cv.circle(img, center=(x+w//2, y+h//2), radius=w//2, color=[0,255,0], thickness=2)

# 設(shè)置圖片可以手動(dòng)調(diào)節(jié)大小
cv.namedWindow("Easmount-CSDN", 0)

# 顯示圖片
cv.imshow("Easmount-CSDN", img)

# 等待顯示 設(shè)置任意鍵退出程序
cv.waitKey(0)
cv.destroyAllWindows()

#coding:utf-8
import cv2 as cv
import numpy as np

# 加載視頻
cap = cv.VideoCapture('wang.mp4')

# 調(diào)用熟悉的人臉分類器 識(shí)別特征類型
# 人臉 - haarcascade_frontalface_default.xml
# 人眼 - haarcascade_eye.xm
# 微笑 - haarcascade_smile.xml
face_detect = cv.CascadeClassifier('haarcascade_frontalface_default.xml')

while True:
  # 讀取視頻片段
  flag, frame = cap.read()
  if flag == False:
    break

  # 灰度處理
  gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)

  # 檢查人臉 按照1.1倍放到 周圍最小像素為5
  face_zone = face_detect.detectMultiScale(gray, scaleFactor = 1.5, minNeighbors = 8)

  # 繪制矩形和圓形檢測(cè)人臉
  for x, y, w, h in face_zone:
    cv.rectangle(frame, pt1 = (x, y), pt2 = (x+w, y+h), color = [0,0,255], thickness=2)
    cv.circle(frame, center = (x + w//2, y + h//2), radius = w//2, color = [0,255,0], thickness = 2)

  # 顯示圖片
  cv.imshow('video', frame)
  
  # 設(shè)置退出鍵和展示頻率
  if ord('q') == cv.waitKey(25):
    break

# 釋放資源
cv.destroyAllWindows()
cap.release()

#coding:utf-8
import cv2 as cv

# 識(shí)別電腦攝像頭并打開
cap = cv.VideoCapture(0)

# 調(diào)用熟悉的人臉分類器 識(shí)別特征類型
# 人臉 - haarcascade_frontalface_default.xml
# 人眼 - haarcascade_eye.xm
# 微笑 - haarcascade_smile.xml
face_detect = cv.CascadeClassifier('haarcascade_frontalface_default.xml')

while True:
  # 讀取視頻片段
  flag, frame = cap.read()
  if flag == False:
    break

  # 灰度處理
  gray = cv.cvtColor(frame, code=cv.COLOR_BGR2GRAY)

  # 檢查人臉 按照1.1倍放到 周圍最小像素為5
  face_zone = face_detect.detectMultiScale(gray, scaleFactor = 1.1, minNeighbors = 5)

  # 繪制矩形和圓形檢測(cè)人臉
  for x, y, w, h in face_zone:
    cv.rectangle(frame, pt1 = (x, y), pt2 = (x+w, y+h), color = [0,0,255], thickness=2)
    cv.circle(frame, center = (x + w//2, y + h//2), radius = w//2, color = [0,255,0], thickness = 2)

  # 顯示圖片
  cv.imshow('video', frame)
  
  # 設(shè)置退出鍵和展示頻率
  if ord('q') == cv.waitKey(40):
    break

# 釋放資源
cv.destroyAllWindows()
cap.release()