# Class that simulates the functionality of opencv so howdy can use v4l2 devices seamlessly # Import required modules. lib4l-dev package is also required. import v4l2 import fcntl import numpy import sys from cv2 import cvtColor, COLOR_GRAY2BGR, CAP_PROP_FRAME_WIDTH, CAP_PROP_FRAME_HEIGHT try: from pyv4l2.frame import Frame except ImportError: print("Missing pyv4l2 module, please run:") print(" pip3 install pyv4l2\n") sys.exit(13) class pyv4l2_reader: """ This class was created to look as similar to the openCV features used in Howdy as possible for overall code cleanliness. """ # Init def __init__(self, device_name, device_format): self.device_name = device_name self.device_format = device_format self.height = 0 self.width = 0 self.probe() self.frame = "" def set(self, prop, setting): """ Setter method for height and width """ if prop == CAP_PROP_FRAME_WIDTH: self.width = setting elif prop == CAP_PROP_FRAME_HEIGHT: self.height = setting def get(self, prop): """ Getter method for height and width """ if prop == CAP_PROP_FRAME_WIDTH: return self.width elif prop == CAP_PROP_FRAME_HEIGHT: return self.height def probe(self): """ Probe the video device to get height and width info """ vd = open(self.device_name, 'r') fmt = v4l2.v4l2_format() fmt.type = v4l2.V4L2_BUF_TYPE_VIDEO_CAPTURE ret = fcntl.ioctl(vd, v4l2.VIDIOC_G_FMT, fmt) vd.close() if ret == 0: height = fmt.fmt.pix.height width = fmt.fmt.pix.width else: # Could not determine the resolution from ioctl call. Reverting to slower ffmpeg.probe() method import ffmpeg probe = ffmpeg.probe(self.device_name) height = int(probe['streams'][0]['height']) width = int(probe['streams'][0]['width']) if self.get(CAP_PROP_FRAME_HEIGHT) == 0: self.set(CAP_PROP_FRAME_HEIGHT, int(height)) if self.get(CAP_PROP_FRAME_WIDTH) == 0: self.set(CAP_PROP_FRAME_WIDTH, int(width)) def record(self): """ Start recording """ self.frame = Frame(self.device_name) def grab(self): """ Read a sigle frame from the IR camera. """ self.read() def read(self): """ Read a sigle frame from the IR camera. """ if not self.frame: self.record() # Grab a raw frame from the camera frame_data = self.frame.get_frame() # Convert the raw frame_date to a numpy array img = ( numpy .frombuffer(frame_data, numpy.uint8) ) # Convert the numpy array to a proper grayscale image array img_bgr = cvtColor(img, COLOR_GRAY2BGR) # Convert the grayscale image array into a proper RGB style numpy array img2 = ( numpy .frombuffer(img_bgr, numpy.uint8) .reshape([352, 352, 3]) ) # Return a single frame of video return 0, img2 def release(self): """ Empty our array. If we had a hold on the camera, we would give it back here. """ self.video = () self.num_frames_read = 0 if self.frame: self.frame.close()