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Python 3.6 run faceswap thrown when "train" the following abnormalities

Time:10-11

The Exception in Tkinter callback
Traceback (the most recent call last) :
The File "C: \ ProgramData \ Anaconda3 \ lib \ tkinter \ set py", line 1705, in __call__
Return the self. Func (* args)
The File "C: \ ProgramData \ Anaconda3 \ lib \ tkinter \ set py", line 749, in callit
Func (* args)
The File "C: \ faceswap \ lib \ GUI \ display_page py", line 211, in & lt; Lambda>
Self. After (waittime, lambda t=waittime: self update_page (t))
The File "C: \ faceswap \ lib \ GUI \ display_page py", line 210, in update_page
Self. Load_display ()
The File "C: \ faceswap \ lib \ GUI \ display_page py", line 221, in load_display
Self. Display_item_process ()
The File "C: \ faceswap \ lib \ GUI \ display_command py", line 157, in display_item_process
Selections=[" raw ", "trend"])
The File "C: \ faceswap \ lib \ GUI \ stats py", line 214, in __init__
The self. The refresh ()
The File "C: \ faceswap \ lib \ GUI \ stats py", line 220, refresh in
Self. Get_calculations ()
The File "C: \ faceswap \ lib \ GUI \ stats py", line 302, in get_calculations
Self. Stats [key]=method (raw)
The File "C: \ faceswap \ lib \ GUI \ stats py", line 334, in calc_trend
Fit=np. Polyfit (x_range, data, 3)
The File "C: \ ProgramData \ Anaconda3 \ lib \ site - packages \ numpy \ lib \ polynomial py", line 630, in polyfit
C, resids, rank, s=LSTSQ (LHS and RHS, rcond)
The File "C: \ ProgramData \ Anaconda3 \ lib \ site - packages \ numpy \ linalg \ linalg py", line 2236, in LSTSQ
X, resids, rank, s=gufunc (a, b, rcond, signature=signature, extobj=extobj)
The File "C: \ ProgramData \ Anaconda3 \ lib \ site - packages \ numpy \ linalg \ linalg py", line 109, in _raise_linalgerror_lstsq
Raise LinAlgError (" SVD did not converge in Linear further Squares ")
Numpy. Linalg. LinAlgError: SVD did not converge in Linear further Squares

Program can run, but "train" the result is very poor, don't know if there is a relationship with the above abnormal, do not know how to solve?

CodePudding user response:

There are abnormal, should can't walk the process

CodePudding user response:

Problem has been solved, because the library version conflict, still need recommendation,

CodePudding user response:

Problem solved, bother junction post, if you think you have no satisfactory answer, can choose to post no satisfaction, the junction post will cause not in time and post rate is too low, hit the enthusiasm of people to help you solve the problem, hope that the next jar can also help to you

CodePudding user response:

Hello, I also met the same problem with you, would you like to which library appeared to be the problem? Is tensorflow - gpu? Which version of the need to install?
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