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This repository has been archived by the owner on Jan 31, 2024. It is now read-only.
Downloading longer videos results in a memory error
Actual behavior
the download fails when almost completed, resulting in this error message:
[19]ERROR | 15:31 || Unexpected error during sorting Single Post download;
Traceback (most recent call last):
File "fansly_downloader.py", line 1188, in
File "fansly_downloader.py", line 763, in sort_download
MemoryError
for this video, my computer's memory usage only went up to 60%
( If applicable, add screenshots to help explain your problem. )
Environment Information
Operating System: windows
Fansly Downloader Version: v0.4.1
Fansly Downloader Type: executable
Specific creators name: Boba Bitch
User Research
( fill [ ] with x, if you've already done said task )
Also before downloading that specific video, when enabling show_downloads, is the file ending printed into console .m3u8 or .mp4?
What post id is it?
Regardless, I do believe you that this is a valid bug. It's because the download_m3u8() function needs an actual binary stream wrapper, so that an entire video stops being held in memory during download and transcoding.
Kinda up to contributors, as this is a open source project and I'm a little fed up with it atm.
The only thing you personally can do is upgrading your RAM capacity to 32 GB+ or asking a friend with more RAM to download and transcode the video for you, or renting a VPS which has more RAM & a GPU installed and run Fansly Downloader on there :)
Bug Description
Downloading longer videos results in a memory error
Actual behavior
the download fails when almost completed, resulting in this error message:
[19]ERROR | 15:31 || Unexpected error during sorting Single Post download;
Traceback (most recent call last):
File "fansly_downloader.py", line 1188, in
File "fansly_downloader.py", line 763, in sort_download
MemoryError
for this video, my computer's memory usage only went up to 60%
( If applicable, add screenshots to help explain your problem. )
Environment Information
User Research
( fill
[ ]
withx
, if you've already done said task )I have done the following:
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