Synchronize with cpp

Author: csaba-luxonis

depthai-core

@@ -18,7 +18,6 @@ Code samples are used for automated testing. They are also a great starting poin
 - :ref:`RGB video` - Displays high resolution frames of the RGB camera
 - :ref:`Mono Preview` - Displays right/left mono cameras
 - :ref:`Depth Preview` - Displays colorized stereo disparity
-- :ref:`Device Queue Event` - Demonstrates how to use device queue events
 - :ref:`RGB Encoding` - Encodes RGB (1080P, 30FPS) into :code:`.h265` and saves it on the host
 - :ref:`RGB & Mono Encoding`- Encodes RGB (1080P, 30FPS) and both mono streams (720P, 30FPS) into :code:`.h265`/:code:`.h264` and saves them on the host
 - :ref:`Encoding Max Limit` - Encodes RGB (4k 25FPS) and both mono streams (720P, 25FPS) into :code:`.h265`/:code:`.h264` and saves them on the host
@@ -56,4 +55,6 @@ Code samples are used for automated testing. They are also a great starting poin
 .. rubric:: Mixed
 
 - :ref:`System information` - Displays device system information (memory/cpu usage, temperature)
-- :ref:`OpenCV support` - Demonstrates how to retrieve an image frame as an OpenCV frame
+- :ref:`OpenCV support` - Demonstrates how to retrieve an image frame as an OpenCV frame
+- :ref:`Device Queue Event` - Demonstrates how to use device queue events
+- :ref:`Queue add callback` - Demonstrates how to use queue callbacks

docs/source/tutorials/code_samples.rst

@@ -8,8 +8,10 @@ Mixed
 
    ../samples/system_information.rst
    ../samples/opencv_support.rst
+   ../samples/device_queue_event.rst
    ../samples/queue_add_callback.rst
 
 - :ref:`System information` - Displays device system information (memory/cpu usage, temperature)
 - :ref:`OpenCV support` - Demonstrates how to retrieve an image frame as an OpenCV frame
+- :ref:`Device Queue Event` - Demonstrates how to use device queue events
 - :ref:`Queue add callback` - Demonstrates how to use queue callbacks

docs/source/tutorials/mixed_samples.rst

@@ -10,7 +10,6 @@ Simple
    ../samples/rgb_video.rst
    ../samples/mono_preview.rst
    ../samples/depth_preview.rst
-   ../samples/device_queue_event.rst
    ../samples/rgb_encoding.rst
    ../samples/rgb_mono_encoding.rst
    ../samples/encoding_max_limit.rst
@@ -27,7 +26,6 @@ These samples are great starting point for the gen2 API.
 - :ref:`RGB video` - Displays high resolution frames of the RGB camera
 - :ref:`Mono Preview` - Displays right/left mono cameras
 - :ref:`Depth Preview` - Displays colorized stereo disparity
-- :ref:`Device Queue Event` - Demonstrates how to use device queue events
 - :ref:`RGB Encoding` - Encodes RGB (1080P, 30FPS) into :code:`.h265` and saves it on the host
 - :ref:`RGB & Mono Encoding`- Encodes RGB (1080P, 30FPS) and both mono streams (720P, 30FPS) into :code:`.h265`/:code:`.h264` and saves them on the host
 - :ref:`Encoding Max Limit` - Encodes RGB (4k 25FPS) and both mono streams (720P, 25FPS) into :code:`.h265`/:code:`.h264` and saves them on the host

docs/source/tutorials/simple_samples.rst

@@ -3,33 +3,32 @@
 import depthai as dai
 import queue
 
-# Start defining a pipeline
+# Create pipeline
 pipeline = dai.Pipeline()
 
 # Add all three cameras
 camRgb = pipeline.createColorCamera()
-camRgb.setPreviewSize(300, 300)
-
 left = pipeline.createMonoCamera()
-left.setBoardSocket(dai.CameraBoardSocket.LEFT)
-left.setResolution(dai.MonoCameraProperties.SensorResolution.THE_400_P)
-
 right = pipeline.createMonoCamera()
-right.setBoardSocket(dai.CameraBoardSocket.RIGHT)
-right.setResolution(dai.MonoCameraProperties.SensorResolution.THE_400_P)
 
 # Create XLink output
 xout = pipeline.createXLinkOut()
 xout.setStreamName("frames")
 
+# Properties
+camRgb.setPreviewSize(300, 300)
+left.setBoardSocket(dai.CameraBoardSocket.LEFT)
+left.setResolution(dai.MonoCameraProperties.SensorResolution.THE_400_P)
+right.setBoardSocket(dai.CameraBoardSocket.RIGHT)
+right.setResolution(dai.MonoCameraProperties.SensorResolution.THE_400_P)
+
 # Stream all the camera streams through the same XLink node
 camRgb.preview.link(xout.input)
 left.out.link(xout.input)
 right.out.link(xout.input)
 
 q = queue.Queue()
 
-
 def newFrame(inFrame):
     global q
     # Get "stream name" from the instance number
@@ -40,10 +39,8 @@ def newFrame(inFrame):
     # run image processing algorithms here
     q.put({"name": name, "frame": frame})
 
-
-# Pipeline is defined, now we can connect to the device
+# Connect to device and start pipeline
 with dai.Device(pipeline) as device:
-    device.startPipeline()
 
     # Add callback to the output queue "frames" for all newly arrived frames (color, left, right)
     device.getOutputQueue(name="frames", maxSize=4, blocking=False).addCallback(newFrame)