Files
opencv/piCameraPipeline/VideoSource.py
T
2016-10-22 13:14:30 +00:00

62 lines
1.5 KiB
Python
Executable File

import time
import cv2
import imutils
from threading import Thread
from picamera import PiCamera
from piCameraPipeline.PiCameraPipeline import RgbProcessorAdapter
class VideoSource(RgbProcessorAdapter):
def __init__(self, fileName, res, framerate):
super(VideoSource, self).__init__(res)
self.fileName = fileName
self.res = res
self.framerate = framerate
self.thread = None
self.camera = None
self.cancel = False
if fileName == 'piCamera':
self.camera = PiCamera()
self.camera.resolution = (self.res[0], self.res[1])
self.camera.framerate = self.framerate
else:
self.needRgbConversion = False
self.thread = Thread(target=self.fileReadThread)
def fileReadThread(self):
pass
def start(self):
if self.thread is not None:
if not self.thread.is_alive():
self.thread.start()
else:
self.camera.start_recording(self, format="bgr")
def stop(self):
if self.thread is not None:
if self.thread.is_alive():
self.cancel = True
self.thread.join()
else:
self.camera.stop_recording()
def fileReadThread(self):
cap = cv2.VideoCapture(self.fileName)
cap_w = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
cap_h = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
needResize = False
if self.res[0] != cap_w or self.res[1] != cap_h:
needResize = True
while not self.cancel:
ret, frame = cap.read()
if ret:
if needResize:
self.write(imutils.resize(frame, width=self.res[0], height=self.res[1]))
else:
self.write(frame)
else:
break
time.sleep(1.0/self.framerate)
self.flush()