Scan every folder in every fingerprint base named as folder

[lightcomc]

Hello. How to create this case:

I am added txt file with source folders and want to do bases named as folders

for /r "C:\Users\Owner\Desktop\LISTOFFOLDERS.txt" %%i in (".") do python "C:\Users\Owner\Desktop\audfprint-master\audfprint-master\audfprint.py" new --dbase "C:\Users\Owner\Desktop\fingerprint\FOLDERNAMEFROMTXT.pklz" "%%i" >> "C:\Users\Owner\Desktop\fingerprint.txt"

Result - i have multiple.pklz for matching.

Why? I have 600+ Folders. and i want to find more matched results (about 5) than one. sources and track names in folders can be duplicated and I want to get all the track name matches for verification, since I have partially sampled music ..

[ZhymabekRoman]

I think you need automate this using Python not bat

[dpwe]

I think you want “add” instead of “new” for all except the first call, and use the same dbase name for all folders. “Pklz” is the suffix for precomputed per-track peak files. I usually call the database file .db or something. DAn.

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On Sun, Sep 25, 2022 at 07:36 lightcomc ***@***.***> wrote: Hello. How to create this case: I am added txt file with source folders and want to do bases named as folders for /r "C:\Users\Owner\Desktop\LISTOFFOLDERS.txt" %%i in ("*.*") do python "C:\Users\Owner\Desktop\audfprint-master\audfprint-master\audfprint.py" new --dbase "C:\Users\Owner\Desktop\fingerprint\FOLDERNAMEFROMTXT.pklz" "%%i" >> "C:\Users\Owner\Desktop\fingerprint.txt" Result - i have multiple.pklz for matching. Why? I have 600+ Folders. and i want to find more matched results (about 5) than one. sources and track names in folders can be duplicated and I want to get all the track name matches for verification, since I have partially sampled music .. — Reply to this email directly, view it on GitHub <#85>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAEGZULO6WRPASKPZHLF2QTV77XHZANCNFSM6AAAAAAQU6UVVI> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[xuboot]

Can this algorithm load the historical features into memory first, so that the matching speed is improved, but I don't know how to modify your basic code