Reenfocing code style

src/cli/disable.py

@@ -3,7 +3,6 @@
 # Import required modules
 import sys
 import os
-import json
 import builtins
 import fileinput
 import configparser

src/cli/test.py

@@ -49,7 +49,9 @@ def print_text(line_number, text):
 	"""Print the status text by line number"""
 	cv2.putText(overlay, text, (10, height - 10 - (10 * line_number)), cv2.FONT_HERSHEY_SIMPLEX, .3, (0, 255, 0), 0, cv2.LINE_AA)
 
+
 use_cnn = config.getboolean('core', 'use_cnn', fallback=False)
+
 if use_cnn:
 	face_detector = dlib.cnn_face_detection_model_v1(
 		path + '/../dlib-data/mmod_human_face_detector.dat'

src/compare.py

@@ -47,6 +47,7 @@ def init_detector(lock):
 	timings["ll"] = time.time() - timings["ll"]
 	lock.release()
 
+
 # Make sure we were given an username to tast against
 if len(sys.argv) < 2:
 	sys.exit(12)
@@ -149,17 +150,17 @@ while True:
 
 	# Stop if we've exceded the time limit
 	if time.time() - timings["fr"] > timeout:
-		if (dark_tries == valid_frames ):
+		if (dark_tries == valid_frames):
 			print("All frames were too dark, please check dark_threshold in config")
 			print("Average darkness: " + str(dark_running_total / valid_frames) + ", Threshold: " + str(dark_threshold))
-      sys.exit(13)
+			sys.exit(13)
 		else:
-      sys.exit(11)
+			sys.exit(11)
 
 	# Grab a single frame of video
 	frame, gsframe = video_capture.read_frame()
 
-	gsframe = clahe.apply(gsframe)	
+	gsframe = clahe.apply(gsframe)
 
 	# Create a histogram of the image with 8 values
 	hist = cv2.calcHist([gsframe], [0], None, [8], [0, 256])

src/config.ini

@@ -37,7 +37,7 @@ timeout = 4
 
 # The path of the device to capture frames from
 # Should be set automatically by an installer if your distro has one
-device_path = none
+device_path = "/dev/video1"
 
 # Scale down the video feed to this maximum height
 # Speeds up face recognition but can make it less precise

src/recorders/video_capture.py

@@ -7,21 +7,22 @@ import cv2
 import os
 import sys
 
-"""
-Class to provide boilerplate code to build a video recorder with the
-correct settings from the config file.
 
-The internal recorder can be accessed with 'video_capture.internal'
-"""
+# Class to provide boilerplate code to build a video recorder with the
+# correct settings from the config file.
+#
+# The internal recorder can be accessed with 'video_capture.internal'
+
+
 class VideoCapture:
 
-	"""
-	Creates a new VideoCapture instance depending on the settings in the
-	provided config file.
-
-	Config can either be a string to the path, or a pre-setup configparser.
-	"""
 	def __init__(self, config):
+		"""
+		Creates a new VideoCapture instance depending on the settings in the
+		provided config file.
+
+		Config can either be a string to the path, or a pre-setup configparser.
+		"""
 		if isinstance(config, str):
 			self.config = configparser.ConfigParser()
 			self.config.read(config)
@@ -30,41 +31,43 @@ class VideoCapture:
 
 		# Check device path
 		if not os.path.exists(config.get("video", "device_path")):
-			print("Camera path is not configured correctly, " +
-				  "please edit the 'device_path' config value.")
+			print("Camera path is not configured correctly, please edit the 'device_path' config value.")
 			sys.exit(1)
 
 		# Create reader
-		self.internal = None # The internal video recorder
-		self.fw	   = None # The frame width
-		self.fh	   = None # The frame height
+		# The internal video recorder
+		self.internal = None
+		# The frame width
+		self.fw = None
+		# The frame height
+		self.fh = None
 		self._create_reader()
 
 		# Request a frame to wake the camera up
 		self.internal.grab()
 
-	"""
-	Frees resources when destroyed
-	"""
 	def __del__(self):
+		"""
+		Frees resources when destroyed
+		"""
 		if self is not None:
 			self.internal.release()
 
-	"""
-	Reads a frame, returns the frame and an attempted grayscale conversion of
-	the frame in a tuple:
-
-	(frame, grayscale_frame)
-
-	If the grayscale conversion fails, both items in the tuple are identical.
-	"""
 	def read_frame(self):
+		"""
+		Reads a frame, returns the frame and an attempted grayscale conversion of
+		the frame in a tuple:
+
+		(frame, grayscale_frame)
+
+		If the grayscale conversion fails, both items in the tuple are identical.
+		"""
+
 		# Grab a single frame of video
 		# Don't remove ret, it doesn't work without it
 		ret, frame = self.internal.read()
 		if not ret:
-			print("Failed to read camera specified in your 'device_path', " +
-			      "aborting")
+			print("Failed to read camera specified in your 'device_path', aborting")
 			sys.exit(1)
 
 		try:
@@ -78,10 +81,11 @@ class VideoCapture:
 			raise
 		return frame, gsframe
 
-	"""
-	Sets up the video reader instance
-	"""
 	def _create_reader(self):
+		"""
+		Sets up the video reader instance
+		"""
+
 		if self.config.get("video", "recording_plugin") == "ffmpeg":
 			# Set the capture source for ffmpeg
 			from recorders.ffmpeg_reader import ffmpeg_reader
@@ -89,6 +93,7 @@ class VideoCapture:
 				self.config.get("video", "device_path"),
 				self.config.get("video", "device_format")
 			)
+
 		elif self.config.get("video", "recording_plugin") == "pyv4l2":
 			# Set the capture source for pyv4l2
 			from recorders.pyv4l2_reader import pyv4l2_reader
@@ -96,6 +101,7 @@ class VideoCapture:
 				self.config.get("video", "device_path"),
 				self.config.get("video", "device_format")
 			)
+
 		else:
 			# Start video capture on the IR camera through OpenCV
 			self.internal = cv2.VideoCapture(