Issue obtaining images from camera source using a python script

[AlejandroDiazD]

Hello,

I'm trying to, using a python script, read an image from video streaming and later write it on my axis camera device. The objective is to process that image using a dnn similarly to the object-detector-python example, but my current issue is just about reading the image from video streaming.

I have followed the steps described in object-detector-python example, but for the following image (screenshot from the web interface of the camera):

I'm getting the following image:

Next, I provide my specific case characteristics:

• Camera model: AXIS P3268-LVE Dome Camera
• Camera firmware: 10.12.165
• Camera resolution: 1280x960 (4:3). This is the resolution used for the provided images, but I have already tried the same case for different resolutions (with similar results).

I also provide some reproducible code:

import cv2 from vdo_proto_utils import VideoCaptureClient stream_width, stream_height, stream_framerate = (1280, 960, 10) grpc_socket = 'unix:///tmp/acap-runtime.sock' capture_client = VideoCaptureClient(socket=grpc_socket, stream_width=stream_width, stream_height=stream_height, stream_framerate=stream_framerate) frame = capture_client.get_frame() cv2.imwrite('/app/output_image.jpg', frame)

I'm running that code inside a docker container based on a docker image built using the Dockerfile provided in the object-detector-python example.

Thank you for your time.

[AlejandroDiazD]

Update: I almost solved the issue (@Corallo ).

The problem was related to the image rotation of the camera. To solve it I changed the rotation from the web interface in /video/installation.

Now the only problem is the color representation, we can see how the blue parts of the image are seen as brown.

The original image:

The obtained image:

Do you know how can I solve it?

Thanks!

[Corallo]

Hi @AlejandroDiazD

Good that you solved the issue by yourself, I guess if you want to keep the image flipped, you can try to flip also the resolution (960x1280). I am keeping this issue open until we document this behavior.

Regarding the color problem, I think it is just that cv2 expects the color format in bgr when you save the image, while your frame is in rgb. try bgr_img = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)

[AlejandroDiazD]

It worked! :)

Thank you @Corallo, feel free to mark the issue as solved when you consider.

We keep in contact.