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--- lirec:firewire_camera_notes [2009-03-24 16:32] – created 161.23.251.227
+++ lirec:firewire_camera_notes [2009-05-08 12:55] (current) – davegriffiths
@@ Line 1: / Line 1: @@
+======The Lirec camera & Linux======
-Notes from getting the official lirec camera working with Linux.
+The official lirec camera is:
   * [[http://www.theimagingsource.com/|Imaging Source]] DFK 31AF03-Z
-===Howto===
+===Getting it working===
   * After plugging the camera in, you may need to do:
@@ Line 17: / Line 18: @@
   * Use [[http://damien.douxchamps.net/ieee1394/coriander/|Coriander]] to test the camera
-To get an image you have to press the buttons in the following order:
+To get an image working it's a bit picky - you have to press the buttons in the following order:
   - In the services tab click 'Receive' at the top
@@ Line 26: / Line 27: @@
 <code>./configure --use-unicap=yes</code>
 The examples in libunicap are very useful for debugging, such as device_info, raw_image and sdl_display. There is also an OpenCV example here.
+===Getting debayering working in coriander===
+  - In services tab again, in Format select 'Format_1, Mode_5:1024x768 Mono 8bpp'
+  - In options click Nearest and GBRG
+  - In Trigger you should be able to select 30fps
+You can also get OpenCV to read from this mode, but it will get the raw image directly.
+===Getting the camera working with OpenCV===
+The caminfo for OpenCV I used for the raw image was as follows (I think Marek has a better way):
+<code>
+static struct caminfo cameras[] =
+{
+   {
+      handle:            NULL,
+      device_identifier: "Imaging Source DFx 31AF03-Z 1940800048",
+      fourcc:            UCIL_FOURCC( 'Y', '8', '0', '0' ),
+      format_size:       { 0, 0, 1024, 768 },
+      window:            "Camera 1",
+      image:             NULL,
+      properties:        camera0_properties,
+      property_count:    sizeof( camera0_properties ) / sizeof( unicap_property_t ),
+      cascade: NULL,
+      storage: NULL,
+   },
+};
+</code>
+===Using OpenCV for the debayering===
+OpenCV has a built in debayering algorithm, as part of it's colour space conversions. The one which works with the lirec camera is:
+<code>cvCvtColor(bayerimage, rgbimage, CV_BayerGB2RGB);</code>
+Where the input is a 1 channel image and the output is 3 channel RGB image.
+==The bayer pattern image, raw data from the camera CCD==
+{{:lirec:bayerpattern.png|}}
+==Converted to RGB==
+{{:lirec:bayerrgb.png|}}