def setCovid19ImageToWindow_ViaDragAndDrop(filename):
app._PRIOR_IMAGE.destroy() #destroy old image
load = Image.open(filename)
load = load.resize((CONSTANT_DIAGNOSIS_IMAGE_SPAN, CONSTANT_DIAGNOSIS_IMAGE_SPAN),Image.ANTIALIAS) #Resized "load" image to constant size on screen. However, neural network still runs on on original image scale from filename.
render = ImageTk.PhotoImage(load)
img = Label(image=render)
img.image = render
img.place(x=(int(screenWidth)/2)-CONSTANT_DIAGNOSIS_IMAGE_SPAN/2, y=((int(screenHeight)/2))-CONSTANT_DIAGNOSIS_IMAGE_SPAN/2-80)
app.DIAGNOSIS_RESULT += "**Covid19 Mode (Drag & Drop) Result** \n" + filename+"\n\n"
app.DIAGNOSIS_RESULT += covid19_ai_diagnoser.doOnlineInference_covid19Pneumonia (filename)
print(app.DIAGNOSIS_RESULT)
app._PRIOR_IMAGE = img #set latest instance of old image
app.addDiagnosisResult(app.DIAGNOSIS_RESULT)
enableDiagnosisResultColouring ( )
def loadCovid19ImageFromName(filename):
app._PRIOR_IMAGE.destroy() #destroy old image
load = Image.open(filename)
render = ImageTk.PhotoImage(load)
img = Label(image=render)
img.image = render
img.place(x=(int(screenWidth) / 2) - load.width / 2,
y=((int(screenHeight) / 2)) - load.height / 2)
outputContent = "#############################################\n" + filename + "\n\n"
outputContent += covid19_ai_diagnoser.doOnlineInference_covid19Pneumonia(
filename)
print(outputContent)
app._PRIOR_IMAGE = img #set latest instance of old image
messagebox.showinfo(title=windowTitle + " : Result ",
message=outputContent)