Argthtjtr

I don't understand the difference betwen the two codes here below:

Is there a reason why this works:

def evaluer_dessin ():

    global result,img

    listeimage=

    for y in matrice:

        for x in y:

            listeimage.append(x)

    img = np.array([listeimage])



    afficher_resultat()  



    try:

        Cadre.delete(result)

    except:

        pass

    if evaluerimg:

        result=Cadre.create_text(Largeur/2,Hauteur/8,text="c'est un 

"+str((prediction[0]+1)%10),font=('', '50'),fill="red")

    root.after(300,evaluer_dessin)



def afficher_resultat():

    global prediction

    prediction = session.run(y_pred_cls,feed_dict={ x : img})

But this code here doesn't :

def evaluer_dessin ():

    global result

    listeimage=

    for y in matrice:

        for x in y:

            listeimage.append(x)

    img = np.array([listeimage])



    # this is the line that doesn't work, it says that it cant convert an

    # int into a tensor

    prediction = session.run(y_pred_cls,feed_dict={ x : img})



    try:

        Cadre.delete(result)

    except:

        pass

    if evaluerimg:

        result=Cadre.create_text(Largeur/2,Hauteur/8,text="c'est un 

"+str((prediction[0]+1)%10),font=('', '50'),fill="red")

    root.after(300,evaluer_dessin)

It says that "img" is an int but it's type is clearly an array, and the weirdest thing is that when I use a seperate function to calculate the prediction, it works well!

Here's the error shown for the second program:

>Traceback (most recent call last):

>  File "C:UsersnicolAppDataLocalProgramsPythonPython35libsite-packagestensorflowpythonclientsession.py", line 1092, in _run

>    subfeed, allow_tensor=True, allow_operation=False)

>  File "C:UsersnicolAppDataLocalProgramsPythonPython35libsite-packagestensorflowpythonframeworkops.py", line 3490, in as_graph_element

>    return self._as_graph_element_locked(obj, allow_tensor, allow_operation)

>  File "C:UsersnicolAppDataLocalProgramsPythonPython35libsite-packagestensorflowpythonframeworkops.py", line 3579, in >_as_graph_element_locked

>    types_str))

>TypeError: Can not convert a int into a Tensor.

>

>During handling of the above exception, another exception occurred:

>

>Traceback (most recent call last):

>  File "C:UsersnicolDesktopCNN_exeprogrammeCNNexe.py", line 170, in <module>

>    evaluer_dessin()

>  File "C:UsersnicolDesktopCNN_exeprogrammeCNNexe.py", line 123, in >evaluer_dessin

>    prediction = session.run(y_pred_cls,feed_dict={ x : img})

>  File "C:UsersnicolAppDataLocalProgramsPythonPython35libsite-packagestensorflowpythonclientsession.py", line 929, in run

>    run_metadata_ptr)

>  File "C:UsersnicolAppDataLocalProgramsPythonPython35libsite-packagestensorflowpythonclientsession.py", line 1095, in _run

>    'Cannot interpret feed_dict key as Tensor: ' + e.args[0])

>TypeError: Cannot interpret feed_dict key as Tensor: Can not convert a int into >a Tensor.

>[Finished in 2.1s with exit code 1]

>[shell_cmd: python -u "C:UsersnicolDesktopCNN_exeprogrammeCNNexe.py"]

>[dir: C:UsersnicolDesktopCNN_exe]

>[path: C:Program Files (x86)InteliCLS Client;C:Program FilesInteliCLS >Client;C:WINDOWSsystem32;C:WINDOWS;C:WINDOWSSystem32Wbem;C:WINDOWSSyst>em32WindowsPowerShellv1.0;C:Program Files (x86)IntelIntel(R) Management >Engine ComponentsDAL;C:Program FilesIntelIntel(R) Management Engine >ComponentsDAL;C:Program Files (x86)IntelIntel(R) Management Engine ComponentsIPT;C:Program FilesIntelIntel(R) Management Engine ComponentsIPT;C:Program FilesIntelWiFibin;C:Program FilesCommon FilesIntelWirelessCommon;C:WINDOWSSystem32OpenSSH;C:UsersnicolAppData>LocalProgramsPythonPython35Scripts;C:UsersnicolAppDataLocalPrograms>PythonPython35;C:UsersnicolAppDataLocalProgramsPythonPython37Scripts>;C:UsersnicolAppDataLocalProgramsPythonPython37;C:UsersnicolAppData>LocalMicrosoftWindowsApps;]

Thanks jdehesa for helping me solving the problem. The problem came actually from the variable x and not form img.
All I had to do was to give another name to the the variable in the for loop:

def evaluer_dessin ():

    global listeimage,result,img

    listeimage=

    for y in matrice:

        for z in y: # I just change the name from "x" to "z" and the problem was solved

            listeimage.append(z)

    img = np.array([listeimage])



    prediction = session.run(y_pred_cls,feed_dict={ x : img})



    try:

        Cadre.delete(result)

    except:

        pass

    if evaluerimg:

        result=Cadre.create_text(Largeur/2,Hauteur/8,text="c'est un "+str((prediction[0]+1)%10),font=('', '50'),fill="red")

    root.after(300,evaluer_dessin)

I'm new to stackoverflow and I just wanted to say how awesome this website is, you get all the answers you want by clever and nice people.