OCT-Converter
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Error while opening E2E files
Hey, your converter is a long needed tool. Somehow I have problems to open E2E files using your example E2E code. Everytime, I got this error message:
Traceback (most recent call last):
File "C:\ProgramData\Anaconda3\envs\noct\lib\site-packages\IPython\core\interactiveshell.py", line 3437, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "
Hi,
Difficult to know what is going on here. Have you tried multiple volumes with the same error?
Hi, yes I tried several OCT.E2E files from our Spectralis device. I got the same error every time.
Hey - are you able to try on linux/mac? And do you know what Spectralis device you're using - is it very new or old?
Hi, yes I tried several OCT.E2E files from our Spectralis device. I got the same error every time.
Hi JosefKauer, I meet the same problem. Have you solved it?
StreamError: Error in path (parsing) -> magic
stream read less than specified amount, expected 12, found 0
Hi, I am sorry, I did not further investigated into this matter due to lack of time. So far I did not resolve this issue.
Are you able to provide an example .E2E file?
Hi, I am sorry, I did not further investigated into this matter due to lack of time. So far I did not resolve this issue.
That's fine. Thanks for your kind reply.
Are you able to provide an example .E2E file?
Unfortunately, I could not becuase they may not be public data currently. But I do know this E2E file is not a common OCT one. It acutually contains OCTA volumes. Do you have any further idea? Thank you!
That is OK, although it will be much harder without.
Do you have the newer OCT2/Angiography modules? It would be useful to know if @JosefKauer also does/can share data.
To help with debugging where the parsing is failing, I have opened PR #44, however this is of little use by itself.
You could use a tool such as binwalk to try and extract the image data inside:
$ binwalk -e path/to/.E2E
This might detect JPEG/JFIF signatures - helpful for visualisation, but perhaps not for quantitative analysis. There are likely to be false positives also.
That is OK, although it will be much harder without.
Do you have the newer OCT2/Angiography modules? It would be useful to know if @JosefKauer also does/can share data.
To help with debugging where the parsing is failing, I have opened PR #44, however this is of little use by itself.
You could use a tool such as binwalk to try and extract the image data inside:
$ binwalk -e path/to/.E2E
This might detect JPEG/JFIF signatures - helpful for visualisation, but perhaps not for quantitative analysis. There are likely to be false positives also.
OK, I wil have a try. Thanks for the advice!