Moved recorders to new folder

src/cli/add.py

@@ -101,11 +101,11 @@ insert_model = {
 # Check if the user explicitly set ffmpeg as recorder
 if config.get("video", "recording_plugin") == "ffmpeg":
 	# Set the capture source for ffmpeg
-	from ffmpeg_reader import ffmpeg_reader
+	from recorders.ffmpeg_reader import ffmpeg_reader
 	video_capture = ffmpeg_reader(config.get("video", "device_path"), config.get("video", "device_format"))
 elif config.get("video", "recording_plugin") == "pyv4l2":
 	# Set the capture source for pyv4l2
-	from pyv4l2_reader import pyv4l2_reader
+	from recorders.pyv4l2_reader import pyv4l2_reader
 	video_capture = pyv4l2_reader(config.get("video", "device_path"), config.get("video", "device_format"))
 else:
 	# Start video capture on the IR camera through OpenCV

src/compare.py

@@ -116,11 +116,11 @@ timings["ic"] = time.time()
 # Check if the user explicitly set ffmpeg as recorder
 if config.get("video", "recording_plugin") == "ffmpeg":
 	# Set the capture source for ffmpeg
-	from ffmpeg_reader import ffmpeg_reader
+	from recorders.ffmpeg_reader import ffmpeg_reader
 	video_capture = ffmpeg_reader(config.get("video", "device_path"), config.get("video", "device_format"))
 elif config.get("video", "recording_plugin") == "pyv4l2":
 	# Set the capture source for pyv4l2
-	from pyv4l2_reader import pyv4l2_reader
+	from recorders.pyv4l2_reader import pyv4l2_reader
 	video_capture = pyv4l2_reader(config.get("video", "device_path"), config.get("video", "device_format"))
 else:
 	# Start video capture on the IR camera through OpenCV
@@ -178,12 +178,14 @@ while True:
 		stop(11)
 
 	# Grab a single frame of video
-	_, frame = video_capture.read()
+	ret, frame = video_capture.read()
 
 	try:
+		# Convert from color to grayscale
+		# First processing of frame, so frame errors show up here
 		gsframe = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 	except cv2.error:
-		print("Unknown camera, please check your 'device_path' config value.\n")
+		print("\nUnknown camera, please check your 'device_path' config value.\n")
 		raise
 
 	# Create a histogram of the image with 8 values

src/config.ini

@@ -57,7 +57,7 @@ frame_height = -1
 # The lower this setting is, the more dark frames are ignored
 dark_threshold = 50
 
-# The recorder to use. Can be either opencv, ffmpeg or pyv4l2.
+# The recorder to use. Can be either opencv (default), ffmpeg or pyv4l2.
 # Switching from the default opencv to ffmpeg can help with grayscale issues.
 recording_plugin = opencv
 

src/recorders/ffmpeg_reader.py

@@ -126,3 +126,7 @@ class ffmpeg_reader:
 		""" Empty our array. If we had a hold on the camera, we would give it back here. """
 		self.video = ()
 		self.num_frames_read = 0
+
+	def grab(self):
+		""" Redirect grab() to read() for compatibility """
+		self.read()

src/recorders/pyv4l2_reader.py

@@ -1,19 +1,20 @@
 # 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
+from recorders 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
+	from v4l2.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. """
 
@@ -68,7 +69,6 @@ class pyv4l2_reader:
 		""" Start recording """
 		self.frame = Frame(self.device_name)
 
-
 	def grab(self):
 		""" Read a sigle frame from the IR camera. """
 		self.read()
@@ -83,20 +83,13 @@ class pyv4l2_reader:
 		frame_data = self.frame.get_frame()
 
 		# Convert the raw frame_date to a numpy array
-		img = (
+		img = (numpy.frombuffer(frame_data, numpy.uint8))
-		   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 = (
+		img2 = (numpy.frombuffer(img_bgr, numpy.uint8).reshape([352, 352, 3]))
-		   numpy
-		   .frombuffer(img_bgr, numpy.uint8)
-		   .reshape([352, 352, 3])
-		)
 
 		# Return a single frame of video
 		return 0, img2
@@ -107,4 +100,3 @@ class pyv4l2_reader:
 		self.num_frames_read = 0
 		if self.frame:
 			self.frame.close()
-