Frame didn't arrived within 5000

[yuzewang1998]

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Required Info
Camera Model	D455
Firmware Version	05.12.14.50
Operating System & Version	Win10
Platform	PC
Language	python

Hi team,I developed a project with RealSense D455 .I have learned this tutorial([https://github.com/IntelRealSense/librealsense/blob/master/wrappers/python/examples/python-tutorial-1-depth.py]).And I also coded a simple script that can save images:

It can also run successfully.And then I want to run the script faster ,so that I append the image into a list first and save the list at end of the code :

And it returns the error:
frames = pipeline.wait_for_frames() RuntimeError: Frame didn't arrive within 5000

I try to delete either colorArr.append(color_image) or depthArr.append(depth_image),it can works successfully.It looks like only one List stream can be appended into the memory in the loop.(but two steam can be saved into the disk)

I am aware of other issues about this error (#9417,#9270, #8691, #5181, #2168, #6628, and #927) but none of the proposed solutions have worked for us.So I am looking forward to your suggestion.
Thank you.

[MartyG-RealSense]

Hi @novasky0709 An approach that a RealSense user took in #4934 (comment) was to save a color PNG using cv2.imwrite (which I see that you do in your own script) and saved the depth data as an .npy file.

Given that most of the depth information is lost when saving the depth stream to PNG image file format, saving an array to .npy may be a useful route to choose if you anticipate needing to retrieve the depth data at a later time after saving.

Another RealSense Python user in #2731 (comment) took the alternative approach of saving depth and color as avi video files.

If you need to be able to save both depth and color as PNG, you could also try separating depth and color into two separate pipelines to see whether that allows both streams to be saved from their respective individual pipeline.

#5628 (comment)

In general - as described in #946 - I would recommend being wary about appending a Python array, as you may encounter a RuntimeError after 15 frames. Using the SDK's Keep() instruction to store frames in memory is a method that can be used to work around this limitation.

[yuzewang1998]

Hi @MartyG-RealSense ,
Thanks so much for your reply.Your suggestion is useful. I actually encounter a RuntimeError after 15 frames.I will read your answer carefully and reply to you,Thank you.

[MartyG-RealSense]

Hi @novasky0709 Do you have an update about this case that you can provide, please? Thanks!

[MartyG-RealSense]

Hi @novasky0709 Do you require further assistance with this case, please? Thanks!

[MartyG-RealSense]

Case closed due to no further comments received.