Fixed a few small things from PR #109
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faa3e28563
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f8cfde6f72
6 changed files with 56 additions and 48 deletions
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@ -77,14 +77,15 @@ insert_model = {
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"data": []
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}
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# Check if the user explicitly set ffmpeg as recorder
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if config.get("video", "recording_plugin") == "ffmpeg":
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from ffmpeg_reader import ffmpeg_reader
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# Set the capture source for ffmpeg
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video_capture = ffmpeg_reader(config.get("video", "device_name"), config.get("video", "device_format"), 10)
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video_capture = ffmpeg_reader(config.get("video", "device_path"), config.get("video", "device_format"))
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else:
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# Start video capture on the IR camera
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# Start video capture on the IR camera through OpenCV
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video_capture = cv2.VideoCapture(config.get("video", "device_path"))
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# Force MJPEG decoding if true
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@ -3,6 +3,7 @@
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# Import required modules
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import configparser
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import os
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import sys
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import time
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import cv2
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import face_recognition
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@ -14,6 +15,11 @@ path = os.path.dirname(os.path.abspath(__file__))
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config = configparser.ConfigParser()
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config.read(path + "/../config.ini")
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if config.get("video", "recording_plugin") == "ffmpeg":
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print("Howdy has been configured to use ffmpeg as recorder, which doesn't support the test command yet")
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print("Aborting")
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sys.exit(12)
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# Start capturing from the configured webcam
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video_capture = cv2.VideoCapture(config.get("video", "device_path"))
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@ -28,7 +28,7 @@ try:
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if not isinstance(sys.argv[1], str):
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sys.exit(1)
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except IndexError:
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sys.exit(1)
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sys.exit(12)
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# The username of the authenticating user
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user = sys.argv[1]
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@ -56,14 +56,15 @@ for model in models:
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# Add the time needed to start the script
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timings.append(time.time())
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# Check if the user explicitly set ffmpeg as recorder
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if config.get("video", "recording_plugin") == "ffmpeg":
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from ffmpeg_reader import ffmpeg_reader
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# Set the capture source for ffmpeg
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video_capture = ffmpeg_reader(config.get("video", "device_name"), config.get("video", "device_format"), 10)
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video_capture = ffmpeg_reader(config.get("video", "device_path"), config.get("video", "device_format"))
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else:
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# Start video capture on the IR camera
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# Start video capture on the IR camera through OpenCV
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video_capture = cv2.VideoCapture(config.get("video", "device_path"))
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# Force MJPEG decoding if true
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@ -22,21 +22,6 @@ dismiss_lockscreen = false
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disabled = false
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[video]
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#
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# opencv or ffmpeg. Choose ffmpeg if your IR device is a grayscale only.
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# Run this: v4l2-ctl -d /dev/video2 --list-formats
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recording_plugin = opencv
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#
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# format to use for ffmpeg. Could be vfwcap or v4l2 or some other thing...
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#
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device_format = v4l2
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#
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# device name if using ffmpeg. ex: /dev/video2
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#
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device_name = none
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# The certainty of the detected face belonging to the user of the account
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# On a scale from 1 to 10, values above 5 are not recommended
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certainty = 3.5
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@ -45,17 +30,13 @@ certainty = 3.5
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timeout = 4
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# The path of the device to capture frames from
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# Should be set automatically by the installer
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# Should be set automatically by an installer if your distro has one
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device_path = none
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# Scale down the video feed to this maximum height
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# Speeds up face recognition but can make it less precise
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max_height = 320
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# Force the use of Motion JPEG when decoding frames, fixes issues with
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# YUYV raw frame decoding
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force_mjpeg = false
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# Set the camera input profile to this width and height
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# The largest profile will be used if set to -1
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# Automatically ignored if not a valid profile
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@ -68,6 +49,19 @@ frame_height = -1
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# The lower this setting is, the more dark frames are ignored
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dark_threshold = 50
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# The recorder to use. Can be either opencv or ffmpeg.
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# Switching from the default opencv to ffmpeg can help with grayscale issues.
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recording_plugin = opencv
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# Video format used by ffmpeg. Options include vfwcap or v4l2.
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# FFMPEG only.
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device_format = v4l2
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# Force the use of Motion JPEG when decoding frames, fixes issues with YUYV
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# raw frame decoding.
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# OPENCV only.
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force_mjpeg = false
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[debug]
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# Show a short but detailed diagnostic report in console
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end_report = false
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@ -1,18 +1,26 @@
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import ffmpeg
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# Class that simulates the functionality of opencv so howdy can use ffmpeg seamlessly
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# Import required modules
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import numpy
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import sys
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import re
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from subprocess import Popen, PIPE
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from cv2 import CAP_PROP_FRAME_WIDTH
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from cv2 import CAP_PROP_FRAME_HEIGHT
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from cv2 import CAP_PROP_FOURCC
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import sys
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from subprocess import Popen, PIPE
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import re
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try:
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import ffmpeg
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except ImportError:
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print("Missing ffmpeg module, please run:")
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print(" pip3 install ffmpeg-python\n")
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sys.exit(12)
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class ffmpeg_reader:
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""" This class was created to look as similar to the openCV features used in Howdy as possible for overall code cleanliness. """
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# Init
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def __init__(self, device_name, device_format, numframes):
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self.device_name = device_name
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def __init__(self, device_path, device_format, numframes=10):
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self.device_path = device_path
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self.device_format = device_format
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self.numframes = numframes
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self.video = ()
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@ -20,7 +28,6 @@ class ffmpeg_reader:
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self.height = 0
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self.width = 0
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self.init_camera = True
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self.force_jpeg = 0
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def set(self, prop, setting):
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""" Setter method for height and width """
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@ -28,9 +35,6 @@ class ffmpeg_reader:
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self.width = setting
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elif prop == CAP_PROP_FRAME_HEIGHT:
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self.height = setting
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elif prop == CAP_PROP_FOURCC:
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self.force_jpeg = setting
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def get(self, prop):
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""" Getter method for height and width """
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@ -38,34 +42,32 @@ class ffmpeg_reader:
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return self.width
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elif prop == CAP_PROP_FRAME_HEIGHT:
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return self.height
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elif prop == CAP_PROP_FOURCC:
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return self.force_jpeg
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def probe(self):
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""" Probe the video device to get height and width info """
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# Running this command on ffmpeg unfortunatly returns with an exit code of 1, which is silly.
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# Running this command on ffmpeg unfortunatly returns with an exit code of 1, which is silly.
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# Returns an error code of 1 and this text: "/dev/video2: Immediate exit requested"
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args = ["ffmpeg", "-f", self.device_format, "-list_formats", "all", "-i", self.device_name]
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args = ["ffmpeg", "-f", self.device_format, "-list_formats", "all", "-i", self.device_path]
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process = Popen(args, stdout=PIPE, stderr=PIPE)
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out, err = process.communicate()
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return_code = process.poll()
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# worst case scenario, err will equal en empty byte string, b'', so probe will get set to [] here.
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# Worst case scenario, err will equal en empty byte string, b'', so probe will get set to [] here.
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regex = re.compile('\s\d{3,4}x\d{3,4}')
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probe = regex.findall(str(err.decode("utf-8")))
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if not return_code == 1 or len(probe) < 1:
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if not return_code == 1 or len(probe) < 1:
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# Could not determine the resolution from ffmpeg call. Reverting to ffmpeg.probe()
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probe = ffmpeg.probe(self.device_name)
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probe = ffmpeg.probe(self.device_path)
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height = probe['streams'][0]['height']
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width = probe['streams'][0]['width']
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else:
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(height, width) = [x.strip() for x in probe[0].split('x')]
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# Set height and width from probe if they haven't been set already
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if height.isdigit() and self.get(CAP_PROP_FRAME_HEIGHT) == 0:
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self.set(CAP_PROP_FRAME_HEIGHT, int(height))
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if width.isdigit() and self.get(CAP_PROP_FRAME_WIDTH) == 0:
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self.set(CAP_PROP_FRAME_WIDTH, int(width))
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@ -80,9 +82,10 @@ class ffmpeg_reader:
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# Ensure num_frames_read is reset to 0
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self.num_frames_read = 0
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# Record a predetermined amount of frames from the camera
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stream, ret = (
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ffmpeg
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.input(self.device_name, format=self.device_format)
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.input(self.device_path, format=self.device_format)
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.output('pipe:', format='rawvideo', pix_fmt='rgb24', vframes=numframes)
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.run(capture_stdout=True, quiet=True)
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)
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@ -33,11 +33,14 @@ def doAuth(pamh):
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pamh.conversation(pamh.Message(pamh.PAM_ERROR_MSG, "No face model known"))
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return pamh.PAM_USER_UNKNOWN
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# Status 11 means we exceded the maximum retry count
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if status == 11:
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elif status == 11:
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pamh.conversation(pamh.Message(pamh.PAM_ERROR_MSG, "Face detection timeout reached"))
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return pamh.PAM_AUTH_ERR
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# Status 12 means we aborted
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elif status == 12:
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return pamh.PAM_AUTH_ERR
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# Status 0 is a successful exit
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if status == 0:
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elif status == 0:
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# Show the success message if it isn't suppressed
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if not config.getboolean("core", "no_confirmation"):
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pamh.conversation(pamh.Message(pamh.PAM_TEXT_INFO, "Identified face as " + pamh.get_user()))
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