def video_stream():
global video_camera
global global_frame
if video_camera == None:
video_camera = VideoCamera()
while True:
frame = video_camera.get_frame()
if frame != None:
global_frame = frame
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')
else:
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + global_frame + b'\r\n\r\n')
def camera_handler(camera: VideoCamera):
while True:
frame, face = camera.get_frame()
# frame, faces = camera.get_frames()
# if hasattr(face, 'shape'):
# if hasattr(faces, 'append'):
# [Detected_face.append(face) for face in faces]
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')
def video_feed():
return Response(gen(VideoCamera(source=-1)),
mimetype='multipart/x-mixed-replace; boundary=frame')
(startX, startY) = (max(0, startX), max(0, startY))
(endX, endY) = (min(w - 1, endX), min(h - 1, endY))
# Preprocessing the live feed frame
face = img[startY:endY, startX:endX]
face = cv2.cvtColor(face, cv2.COLOR_BGR2RGB)
face = cv2.resize(face, (224, 224))
face = img_to_array(face)
face = preprocess_input(face)
face = np.expand_dims(face, axis=0)
# Predicting the frame from the loaded model
(mask, withoutMask) = model.predict(face)[0]
label = "Mask" if mask > withoutMask else "No Mask"
color = (0, 255, 0) if label == "Mask" else (0, 0, 255)
label = "{}: {:.2f}%".format(label,
max(mask, withoutMask) * 100)
cv2.putText(img, label, (startX, startY - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
cv2.rectangle(img, (startX, startY), (endX, endY), color, 10)
cv2.imshow("Frame", img)
interrupt = cv2.waitKey(10)
if interrupt & 0xFF == 27:
break
# Calling the above function
gen(VideoCamera())
from Camera import VideoCamera
from logFiles import Log
from MessageFormat import Format
from Email import Emails
'''
Acknowledgements:
- Hacker Shack
- PyImageSearch blog posts
- StackOverflow community
'''
record = None
DateNTime = time.asctime(time.localtime(
time.time())) # Time stamp on the image
logAction = Log(DateNTime) # logs: errors or successes
em = Emails(Format.message) # getting the image captured
piVCam = VideoCamera(DateNTime, record)
previousTime = 0 # temporary storage of the time
app = Flask(__name__) # creation of Webserver
Threading = False
def get_PersonInFrame():
# Stop sending emails of person after 9 minutes
global timeCaptured
timeCaptured = time.time()
threadLock = threading.Lock()
print("Person in frame" + str(record))
while True:
while record != True:
try:
frame, found_person = piVCam.get_PersonInFrame()
def color_detect():
return Response(detect(VideoCamera()),
mimetype='multipart/x-mixed-replace; boundary=frame')
def video_streamer():
return Response(
camera_handler(VideoCamera('F:\FSR\FERNLV\\AFW1.mp44')),
# return Response(camera_handler(VideoCamera(1)),
mimetype='multipart/x-mixed-replace; boundary=frame')
from flask import Flask, render_template, Response
from Camera import VideoCamera
'''
Having problem with the webcam: Not retrieving any frame but the webcam is active. It takes 2 days and no clue.
Better not to continue it. Start with QT and try to displaying the detected face
'''
app = Flask(__name__)
Detected_face = []
VID = VideoCamera(1)
def camera_handler(camera: VideoCamera):
while True:
frame, face = camera.get_frame()
# frame, faces = camera.get_frames()
# if hasattr(face, 'shape'):
# if hasattr(faces, 'append'):
# [Detected_face.append(face) for face in faces]
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')
def display_face():
while True:
for image in Detected_face:
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + image + b'\r\n\r\n')