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VideoStream.py
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VideoStream.py
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from picamera.array import PiRGBArray
from picamera import PiCamera
from threading import Thread
import cv2
import time
# THIS CLASS MANAGES THE RASPBERRY PI CAMERA CONNECTION
# For more information about this code visit this page:
# https://www.pyimagesearch.com/2015/03/30/accessing-the-raspberry-pi-camera-with-opencv-and-python/
class PiVideoStream:
def __init__(self, resolution=(320, 240), framerate=32):
# initialize the camera and stream
print('Using modded PiVideoStream...')
self.camera = PiCamera()
self.camera.iso=100
time.sleep(1)
self.camera.exposure_mode = 'off'
self.camera.shutter_speed = self.camera.exposure_speed
self.camera.image_denoise=True
g = self.camera.awb_gains
self.camera.awb_mode = 'off'
self.camera.awb_gains = g
#self.camera.led = True
self.camera.resolution = resolution
self.camera.framerate = framerate
self.rawCapture = PiRGBArray(self.camera, size=resolution)
self.stream = self.camera.capture_continuous(self.rawCapture,
format="bgr", use_video_port=True)
# initialize the frame and the variable used to indicate
# if the thread should be stopped
self.frame = None
self.stopped = False
def start(self):
# start the thread to read frames from the video stream
t = Thread(target=self.update, args=())
t.daemon = True
t.start()
return self
def update(self):
# keep looping infinitely until the thread is stopped
for f in self.stream:
# grab the frame from the stream and clear the stream in
# preparation for the next frame
self.frame = f.array
self.rawCapture.truncate(0)
# if the thread indicator variable is set, stop the thread
# and resource camera resources
if self.stopped:
self.stream.close()
self.rawCapture.close()
self.camera.close()
return
def read(self):
# return the frame most recently read
return self.frame
def stop(self):
# indicate that the thread should be stopped
self.stopped = True