Rotate camera by 90 DEGREES

Hi Brandon and erik .

Thanks so much for the information...

I'm trying to implement camera rotation to 90 degrees using specified method using colorCamera

Below is code snippet, I get an error, seems there is unknown property error.

pipeline = depthai.Pipeline()
if camera:
print("Creating Color Camera...")
cam = pipeline.createColorCamera()

    # code to rotate camera by 90 degrees - start
    manip90 = pipeline.createImageManip()
    rr = depthai.RotatedRect()
    rr.center.x, rr.center.y = cam.getResolutionWidth() // 2, cam.getResolutionHeight() // 2
    rr.size.width, rr.size.height = cam.getResolutionHeight(), cam.getResolutionWidth()
    rr.angle = 90

    manip90.initialConfig.setCropRotatedRect(rr, False)
    cam.out.link(manip90.inputImage) # problem with this line...
    # code to rotate camera by 90 degrees - end

    cam.setPreviewSize(300,300)
    cam.setResolution(depthai.ColorCameraProperties.SensorResolution.THE_1080_P)
    cam.setInterleaved(False)
    cam.setBoardSocket(depthai.CameraBoardSocket.RGB)
    cam_xout = pipeline.createXLinkOut()
    cam_xout.setStreamName("cam_out")
    cam.preview.link(cam_xout.input)

Error message as below:
cam.out.link(manip90.inputImage) # problem with this line...
AttributeError: 'depthai.ColorCamera' object has no attribute 'out'

Requesting your kind help here..
Please let me know if my implementation is correct and also how to resolve this error.

I need to simply implement the following:
The camera is placed horizontally, so need to rotate it to 90 degrees so that straight image is captured...
This needs to happen both at sending image for inference and the one which we display finally in imshow method.

Thanks & Best Regards,
Ram

Hi erik ,

Thanks so much.

I have come across another issue now, since I set preview to multiples of 16 i.e (640,400) originally it was (300,300)
cam.setPreviewSize(300,300)
changed to...
cam.setPreviewSize(640,400)

Inference doesn't work due to above changes, I tried to reset (300,300) to (640,400) in all other instances, inference doesn't work.

Can you please tell me how I should adjust in other instances after changing preview size to 640,400?

I also tried to change to (640,640) in all instances, get following error:

[NeuralNetwork(2)] [warning] Input image (640x640) does not match NN (300x300)

Need your help with this last step.

Thanks & Best Regards,
Ram

Hi erik

I am using Oak-1 and had depthai 2.1 installed

I now installed depthai 2.8 ...

I'm now getting rotated output without inference results.

below is the error:
[NeuralNetwork(4)] [warning] Input image (640x400) does not match NN (300x300)
FPS:0.00

Thanks & Best Regards,
Ram

Hi erik , Brandon

Thanks for your reply...

I've used same code from your example as below:

	camRgb = pipeline.createColorCamera()
	camRgb.setPreviewSize(640, 400)
	camRgb.setResolution(depthai.ColorCameraProperties.SensorResolution.THE_1080_P)
	camRgb.setInterleaved(False)

	manipRgb = pipeline.createImageManip()
	rgbRr = depthai.RotatedRect()
	rgbRr.center.x, rgbRr.center.y = camRgb.getPreviewWidth() // 2, camRgb.getPreviewHeight() // 2
	rgbRr.size.width, rgbRr.size.height = camRgb.getPreviewHeight(), camRgb.getPreviewWidth()
	rgbRr.angle = 90
	manipRgb.initialConfig.setCropRotatedRect(rgbRr, False)
	camRgb.preview.link(manipRgb.inputImage)

	cropManip = pipeline.createImageManip()
	cropManip.initialConfig.setResize(300, 300)
	manipRgb.out.link(cropManip.inputImage)

	manipRgbOut = pipeline.createXLinkOut()
	manipRgbOut.setStreamName("cam_out")
	cropManip.out.link(manipRgbOut.input)

I still get same error as below:
[14442C1021FB92CD00] [140.524] [NeuralNetwork(4)] [warning] Input image (640x400) does not match NN (300x300)

I do get the output frame, however, without inference results...

Really need help to understand what I am doing wrong.
Alternatively, can you please provide an updated script of gen2-fatigue-detection with rotate option using the code suggested for rotate?

I am using this as an example... want to run inference with camera placed horizontally.

This is kind of important, thanks in advance for your time and help.

Thanks & Best Regards,
Ram