def takePicture_opencv(personGroupId, delay, typee):
if (ClassUtils.isWindows() or ClassUtils.isDarwin()):
picturepath = ClassCV.show_opencv(typee, mirror=True)
return picturepath
else:
print('若系統為樹莓派，則需設定 camera 為 CSIcamera 無法以 webcam 作為影像來源。')
return None
def show_opencv(typee, mirror=False):
''' 顯示主畫面 '''
import cv2
import numpy as np
config = ClassUtils.loadConfig()
cam = cv2.VideoCapture(config['videoid'])
cam.set(3, 1280) # 修改解析度 寬
cam.set(4, 1280 // 16 * 9) # 修改解析度 高
print('WIDTH', cam.get(3), 'HEIGHT', cam.get(4)) # 顯示預設的解析度
while True:
ret_val, img = cam.read()
# Add for face detection, ottowei , 2019011701
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Load the Haar cascade file
face_cascade = cv2.CascadeClassifier(
'haar_cascade_files/haarcascade_frontalface_default.xml')
# Run the face detector on the grayscale image
face_rects = face_cascade.detectMultiScale(gray, 1.3, 5)
# Draw a rectangle around the face
for (x, y, w, h) in face_rects:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 3)
if mirror:
img = cv2.flip(img, 1)
H, W = img.shape[:2]
#imS = cv2.resize(img, (W, H))
cv2_im = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # cv2和PIL中颜色的hex码的储存顺序不同
pil_im = Image.fromarray(cv2_im)
draw = ImageDraw.Draw(pil_im) # 括号中为需要打印的canvas，这里就是在图片上直接打印
ttf = ClassUtils.getSystemFont()
font = ImageFont.truetype(ttf, 40, encoding="utf-8")
hintfont = ImageFont.truetype(ttf, 24, encoding="utf-8")
title = config['title'] + ""
w, h = draw.textsize(title, font=font)
draw.rectangle(((W / 2 - w / 2 - 5, 0), (W / 2 + w / 2 + 5, h + 20)),
fill="black")
titlelocation = (W / 2 - w / 2, 5)
#textlocation = (0,0)
draw.text(titlelocation, title, (0, 255, 255),
font=font) # 第一个参数为打印的坐标，第二个为打印的文本，第三个为字体颜色，第四个为字体
# FreeAPIKEY: b9160fbd882f47bd821205a4bce64354
if config['api_key'] == 'b9160fbd882f47bd821205a4bce64354':
warningfont = ImageFont.truetype(ttf, 24, encoding="utf-8")
warning = "請注意，您目前是用的是共用的測試 API_KEY 請儘速自行申請一個自用的 KEY"
w, h = draw.textsize(warning, font=warningfont)
draw.rectangle(
((W / 2 - w / 2 - 5, H - h * 2), (W / 2 + w / 2 + 5, H - h)),
fill="yellow")
warninglocation = (W / 2 - w / 2, H - h * 2)
draw.text(
warninglocation, warning, (0, 0, 255),
font=warningfont) # 第一个参数为打印的坐标，第二个为打印的文本，第三个为字体颜色，第四个为字体
if typee == 'Identify':
hint = "Please Press [ENTER] to Identify"
elif typee == 'Train':
hint = "Please Press [ENTER] to take triple photos"
else:
hint = "Please Press [ENTER] to continue"
w, h = draw.textsize(hint, font=hintfont)
draw.rectangle(((W / 2 - w / 2 - 5, H - h), (W / 2 + w / 2 + 5, H)),
fill="red")
hintlocation = (W / 2 - w / 2, H - h)
#textlocation = (0,0)
draw.text(hintlocation, hint, (0, 255, 255),
font=hintfont) # 第一个参数为打印的坐标，第二个为打印的文本，第三个为字体颜色，第四个为字体
cv2_text_im = cv2.cvtColor(np.array(pil_im), cv2.COLOR_RGB2BGR)
if ClassUtils.isWindows():
cv2.namedWindow("window", cv2.WND_PROP_FULLSCREEN)
cv2.setWindowProperty("window", cv2.WND_PROP_FULLSCREEN,
cv2.WINDOW_FULLSCREEN)
cv2.imshow("window", cv2_text_im)
#cv2.imshow("window", img)
key = cv2.waitKey(1)
if key == ord(' ') or key == 3 or key == 13: # space or enter
picturepath = ClassUtils.getTakePicturePath(
config['personGroupId'])
cv2.imwrite(picturepath, img)
cv2.destroyAllWindows()
cv2.VideoCapture(config['videoid']).release()
return picturepath
elif key == 27: # esc to quit
cv2.destroyAllWindows()
cv2.VideoCapture(config['videoid']).release()
raise MyException.esc_opencv("偵測到 esc 結束鏡頭")
else:
if key != -1:
print('key=', key)