How to use image_import method in tempest

Best Python code snippet using tempest_python

Entregable_Final.py

Source:Entregable_Final.py

1from tkinter.font import BOLD2import cv23from matplotlib import pyplot as plt4from static_functions import *5from tkinter import *6from tkinter import filedialog7from PIL import Image8from PIL import ImageTk9from time import time10import os11import imutils12from kalmanfilter import KalmanFilter13eye_detector = EyeDetector()14kf = KalmanFilter()15global saved16saved = []17################# GUI#########################18def visualizar():19    global cap,ojo1_x,ojo1_y,ojo2_x,ojo2_y,path,save,img___,path_img, saved_img,change20    global scaled_eye_x,scaled_eye_y21    global previous_time,current_time,count,init_time22    ret,frame = cap.read()23    if ret == True:24        eyes = eye_detector.eye_coords(frame)25        if eyes is not None:26            ( (ojo1_x, ojo1_y), (ojo2_x, ojo2_y) ), ( scaled_eye_x, scaled_eye_y) = eyes27            scaled_eye_x = 1-scaled_eye_x28            29            frame = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)30            #### resize frame 31            frame = cv2.resize(frame,(75,50))32            ###########33            34            im = Image.fromarray(frame)35            img = ImageTk.PhotoImage(image=im)36            lblvideo.configure(image=img)37            lblvideo.image=img38        39            ##### modificaciÃ³n de parametros de imagen importada    40            #### leer la imagen41            42            current_time=time()43            if count==0:44                saved_img = None45            if count!=0:46                change=write_to_file(scaled_eye_x,scaled_eye_y,count,change,current_time,init_time)47            48            49            if (current_time-previous_time>7) and (count<6):50                51                path_img = path +img___[count]52                count +=153                change=True54                saved_img = None55                previous_time = time()56                elegir_img()57            if (count==6) and ((current_time-previous_time>7)):58                print('finalizar')59                finalizar()60            else:61                if saved_img is None:62                    image_imported =cv2.imread(path_img)63                    64                    image_imported = cv2.resize(image_imported,(screen_width,screen_height))65                    image_imported = imutils.resize(image_imported,height=screen_height) #"""height=400"""66                    #### visualizar la imagen de entrada en la GUI67                    image_imported = imutils.resize(image_imported,width=screen_width)68                    image_imported = cv2.cvtColor(image_imported,cv2.COLOR_BGR2RGB)69                    saved_img = image_imported.copy()70                else:71                    image_imported = saved_img.copy()72                predicted = kf.predict(screen_width*scaled_eye_x,screen_height*scaled_eye_y)73                image_import = cv2.circle(image_imported,(int(predicted[0]),int(predicted[1])),5,(0,0,255),4)74                saved = []75                76                im = Image.fromarray(image_import)77                img = ImageTk.PhotoImage(image=im)78                lblInputImage.configure(image=img)79                lblInputImage.image = img80                cv2.waitKey(0)81                lblInputImage.configure(image=img)82                lblInputImage.image = img83                ojo1_value_x.configure(text='{:.2f}'.format(ojo1_x),font=BOLD)84                ojo1_value_y.configure(text="{:.2f}".format(ojo1_y),font=BOLD)85                ojo2_value_x.configure(text='{:.2f}'.format(ojo2_x),font=BOLD)86                ojo2_value_y.configure(text='{:.2f}'.format(ojo2_y),font=BOLD)87            lblvideo.after(1,visualizar)88    else:89        lblvideo.image = ''90        lblInfoVideoPath.configure(text='')91        rad1.configure(state='active')92        rad2.configure(state='active')93        selected.set(0) ### esto es para que no este seleccionado ningujo 94            #### de las redondas95        boton_end.configure(state='active')96        cap.release()97def elegir_img():98    global path_img,path,img___99    global ojo1_x,ojo1_y100  101    if len(path_img) >0:102        103        #### leer la imagen104        105        image_imported =cv2.imread(path_img)106        image_imported = cv2.resize(image_imported,(screen_width,screen_height))107        image_imported = imutils.resize(image_imported,height=screen_height) #"""height=400"""108        #### visualizar la imagen de entrada en la GUI109        image_imported = imutils.resize(image_imported,width=screen_width)#width=800)110       111        image_imported = cv2.cvtColor(image_imported,cv2.COLOR_BGR2RGB)112        image_import = cv2.circle(image_imported,((int(screen_width/2)),(int(screen_height/2)-50)),7,(0,0,255),4)113        im = Image.fromarray(image_import)114        img = ImageTk.PhotoImage(image=im)115        lblInputImage.configure(image=img)116        lblInputImage.image = img117    return118def video_de_entrada(): #Aqui esta el array de fotos119    global cap,threshold,image_imported,path,img___,path_img120    global ojo1_value_x,ojo1_value_y,ojo2_value_x,ojo2_value_y121    global previous_time,current_time,count,init_time122    path = os.path.join(os.getcwd(),"img_prototype")123    img___ = [124        "/001.jpg",125        "/002.jpg",126        "/003.jpg",127        "/004.jpg",128        "/005.jpg",129        "/006.jpg"130    ]131    #image_imported =cv2.imread()132    if selected.get() == 1: 133        boton_end.configure(state='active')134        path_img=path+img___[0]135        elegir_img()136        previous_time = time() ### tiempo inicial 137        count = 0 ## contando el nÃºmero de imagenes138        139    if selected.get() == 2: 140        rad1.configure(state='disabled')141        rad2.configure(state='disabled')142        boton_end.configure(state='active')143        lblInfoVideoPath.configure(text='')144        cap = cv2.VideoCapture(0)145        init_time = time()146        visualizar()147def finalizar():148    global init_time,current_time149    print('finalizar')150    lblInfoVideoPath.configure(text='')151    lblvideo.image=''152    lblInfoVideoPath.configure(text='')153    154    rad1.configure(state='active')155    rad2.configure(state='active')156    boton_end.configure(state='disabled')157    lblInputImage.image = ''158    selected.set(0)159    cap.release()160    ojo1_value_x.configure(text='0')161    ojo1_value_y.configure(text='0')162    ojo2_value_x.configure(text='0')163    ojo2_value_y.configure(text='0')164    write_to_file(screen_width,screen_height,50,current=current_time,previous=init_time,change=True,)165    #guardar_images()166def guardar_images():167    f = open("logs.txt",'r')168    variable= True169    all_data ={}170    for i in range(7):171        imagen=[]172        while variable:173            line = f.readline()174            if line=="\n":175                break176            177            if line[0]!='I' and line[0]!='T':      178                dato=line.split(sep='\n')[0].split(sep=',')179                imagen.append([float(dato[0]),float(dato[1])])180            # print('dato')181            if i==6 and (line[0]!='I' and line[0]!='T'):182                dato=line.split(sep='\n')[0].split(sep=',')183                imagen.append([float(dato[0]),float(dato[1])])184                variable=False185        variable=True186        all_data[i]=imagen187    ### filtro de informaciÃ³n188    print(all_data)189    screen_width=all_data[6][0][0]190    screen_height=all_data[6][0][1]191    path = os.path.join(os.getcwd(),"img_prototype")192    img___ = [193        "/001.jpg",194        "/002.jpg",195        "/003.jpg",196        "/004.jpg",197        "/005.jpg",198        "/006.jpg"199    ]200    for i in range(len(img___)):201        #### leer la imagen202        print(path+img___[i])203        image_imported =cv2.imread(path+img___[i])204        print(image_imported)205        image_imported = cv2.resize(image_imported,(int(screen_width),int(screen_height)))206        image_imported = imutils.resize(image_imported,height=int(screen_height)) #"""height=400"""207        #### visualizar la imagen de entrada en la GUI208        image_imported = imutils.resize(image_imported,width=int(screen_width))#width=800)209        210        #image_imported = cv2.cvtColor(image_imported,cv2.COLOR_BGR2RGB)211        212        #image_import = cv2.circle(image_imported,((int(screen_width/2)),(int(screen_height/2)-50)),7,(0,0,255),cv2.FILLED) #4213        image_import = None214        for j in range(len(all_data[i])):215            x = all_data[i][j][0]216            y = all_data[i][j][1]217            218            if j==0:219                image_import = cv2.circle(image_imported,((int(screen_width*x)),(int(screen_height*y))),7,(0,255,0),4)220            else:221                image_import = cv2.circle(image_import,((int(screen_width*x)),(int(screen_height*y))),7,(0,255,0),4)222        cv2.imwrite(f'{i} '+'view.jpg',image_import)223def gui():224    global cap,selected,IblInfo1,lblInfoVideoPath,rad1,rad2,boton_end,boton_upload_file,boton_upload_file225    global lblInputImage,lblvideo,entrada_1,threshold226    global cap,ojo1_x,ojo1_y,ojo2_x,ojo2_y227    global screen_width,screen_height ### obtenciÃ³n de tamaÃ±o de pantalla228    global ojo1_value_x,ojo1_value_y,ojo2_value_x,ojo2_value_y,change,init_time229    ojo1_x=0230    ojo1_y=0231    ojo2_x=0232    ojo2_y=0233    234    change=True ### el valor de cambio inicial para imagenes235    cap = None236    root = Tk()237    IblInfo1 = Label(root,text='Entrada de Video',font='Bold')238    IblInfo1.grid(column=0,row=0,columnspan=1)239    240    selected = IntVar()241    rad1 = Radiobutton( ### para adjuntar imagen242        root,243        text='Inicializar visualizaciÃ³n',244        width=20,245        variable=selected,246        value=1,247        command=video_de_entrada248    )249    rad2 = Radiobutton( ## para poder visualizar la imagen de video250        root, 251        text='Ver Video en Vivo',252        width=20,253        variable=selected,254        value=2,255        command=video_de_entrada256    )257    rad1.grid(column=0,row=1,padx=0)258    rad2.grid(column=0,row=2,padx=0)259    ########## mostrar el pad del videos260    lblInfoVideoPath = Label(root,text='',width=20)261    lblInfoVideoPath.grid(column=2,row=1)262    lblvideo = Label(root)263    lblvideo.grid(column=2,row=0,columnspan=2,rowspan=3)264    ################### segmentar donde se mostrarÃ¡ la imagen################265    lblInputImage=Label(root)266    lblInputImage.grid(column=0, row=3,pady=0,columnspan=5)267    ############ mostrar el botÃ³n para finalizar visualizaciÃ³n###########268    boton_end = Button(269        root,270        text='Finalizar VisualizaciÃ³n y limpiar',271        state='active',272        command=finalizar273        )274    boton_end.grid(column=1,row=0)275    ########## labels para ojo 1 y ojo 2 276    ojo_1_label = Label(root,text='Ojo 1')277    ojo_1_label.grid(column=2,row=0)278    ojo_2_label=Label(root,text='Ojo 2')279    ojo_2_label.grid(column=2,row=1)280    ####### visualizar posicion de ojos x e y   281    ojo1_value_x = Label(root,text=f'{ojo1_x}')282    ojo1_value_y = Label(root,text=f'{ojo1_y}')283    ojo2_value_x = Label(root,text=f'{ojo2_x}')284    ojo2_value_y = Label(root,text=f'{ojo2_y}')285    286    ojo1_value_x.grid(column=3,row=0)287    ojo1_value_y.grid(column=4,row=0)288    ojo2_value_x.grid(column=3,row=1)289    ojo2_value_y.grid(column=4,row=1)290    #### tamaÃ±o de la pantalla obtenciÃ³n de datos291    screen_width = root.winfo_screenwidth()292    screen_height = root.winfo_screenheight() -150293    ################ Visualizando los valores en ojo izquierdo y ojo derecho ##############294    root.mainloop()...

Option_4_Num_3_4.py

Source:Option_4_Num_3_4.py

12import matplotlib.pyplot as plt3import matplotlib.image as mpimg4from keras.models import load_model5from keras.preprocessing.image import load_img6from keras.preprocessing.image import img_to_array78#################################################[RESOURCES]#################################################9# CIFAR-10 tutorial and database                                                                            #10# https://machinelearningmastery.com/how-to-develop-a-cnn-from-scratch-for-cifar-10-photo-classification/   #11# https://www.cs.toronto.edu/~kriz/cifar.html                                                               #12#############################################################################################################1314# load and prepare the image15def load_image(filename):16    img = load_img(filename, target_size=(32, 32))                 # Load the target image17    img = img_to_array(img)                                        # Convert the image to an array18    img = img.reshape(1, 32, 32, 3)                                # Reshape into a 3-channel sample19    img = img.astype('float32')                                    # Prepare pixel data20    img = img / 255.021    22    return img2324# This function allows multiple images to be processed 25def multiprocessing():26    while(True):  27        run_example()28        plt.show(block=True)29        30        exit_statement=input("Enter 'q' if you would like to quit or press any key to continue.")31        32        if (exit_statement.lower()=='q'):33            break34        else:35            print("Program will continue")36            37    return None3839# This function calculates the percent match of each image for each category40def getPercentage(prediction_class,index):41    42    i = index43    percentage = round(prediction_class[0][i]*100,3)44                       45    return percentage4647# This function loads the chosen image and makes a prediction of what the image is48def run_example():49    print("Please make a selection on the menu below\n")       # Displays the menu and takes user input50    choose = input('''\t\tMenu:                                51              -----------------------------------52              1: Airplane_1_database_processed53              2: Airplane_2_database_processed54              3: Automobile_1_database_processed55              4: Automobile_2_database_processed56              5: Bird_1_database_processed57              6: Bird_2_database_processed58              7: Cat_1_database_processed59              8: Cat_2_database_processed60              9: Deer_1_database_processed61             10: Deer_2_database_processed62             11: Dog_1_database_processed63             12: Dog_2_database_processed64             13: Frog_1_database_processed65             14: Frog_2_database_processed66             15: Horse_1_database_processed67             16: Horse_2_database_processed68             17: Ship-1_database_processed69             18: Ship_2_database_processed70             19: Truck_1_database_processed71             20: Truck_2_database_processed72            -------------------------------------73            Enter here:''')            7475    try:                                                           # try block to check valid user input76        options=int(choose)        77        if (options == 1):78            image_import ='Airplane_1_database_processed'79        if (options == 2):80            image_import ='Airplane_2_database_processed'    81        if (options == 3):82            image_import ='Automobile_1_database_processed'83        if (options == 4):84            image_import ='Automobile_2_database_processed'           85        if (options == 5):86            image_import ='Bird_1_database_processed'87        if (options == 6):88            image_import ='Bird_2_database_processed'    89        if (options == 7):90            image_import ='Cat_1_database_processed'91        if (options == 8):92            image_import ='Cat_2_database_processed'93        if (options == 9):94            image_import ='Deer_1_database_processed'95        if (options == 10):96            image_import ='Deer_2_database_processed'    97        if (options == 11):98            image_import ='Dog_1_database_processed'99        if (options == 12):100            image_import ='Dog_2_database_processed'           101        if (options == 13):102            image_import ='Frog_1_database_processed'103        if (options == 14):104            image_import ='Frog_2_database_processed'    105        if (options == 15):106            image_import ='Horse_1_database_processed'107        if (options == 16):108            image_import ='Horse_2_database_processed'109        if (options == 17):110            image_import ='Ship_1_database_processed'111        if (options == 18):112            image_import ='Ship_2_database_processed'    113        if (options == 19):114            image_import ='Truck_1_database_processed'115        if (options == 20):116            image_import='Truck_2_database_processed'         117        118        image = load_image(''+image_import+'.png')                  # Call the load_image function 119        model = load_model('final_model.h5')                        # Load the model using keras120        result = model.predict_classes(image)                       # Predict the class the image falls into121        plt.imshow(mpimg.imread(''+image_import+'.png'))122        prediction_class = model.predict_proba(image)               # Calculate the class probability for the object123        124# Call the getPercentage function for each category125######################################################################################################################126        airplane_stats = getPercentage(prediction_class,0)       127        automobile_stats = getPercentage(prediction_class,1)128        bird_stats = getPercentage(prediction_class,2)129        cat_stats = getPercentage(prediction_class,3)130        deer_stats = getPercentage(prediction_class,4)131        dog_stats = getPercentage(prediction_class,5)132        frog_stats = getPercentage(prediction_class,6)133        horse_stats = getPercentage(prediction_class,7)134        ship_stats = getPercentage(prediction_class,8)135        truck_stats = getPercentage(prediction_class,9)136######################################################################################################################137        138# Display the results in the console window139######################################################################################################################140        print("\nImage:",image_import,"\nMaking Prediction....\n")141        print("Image Prediction:")142        print(f"Airplane: {airplane_stats}%")143        print(f"Automobile: {automobile_stats}%")144        print(f"Bird: {bird_stats}%")145        print(f"Cat: {cat_stats}%")146        print(f"Deer: {deer_stats}%")147        print(f"Dog: {dog_stats}%")148        print(f"Frog: {frog_stats}%")149        print(f"Horse: {horse_stats}%")150        print(f"Ship: {ship_stats }%")151        print(f"Truck: {truck_stats}%")152######################################################################################################################153        154        print("\nClasses: ['airplane','automobile','bird','cat','deer','dog','frog','horse','ship','truck']")155        print("Class:",result[0],'\n')156    157        placeMarker = int(result[0])158        159        if (placeMarker == 0):160            print("This is an airplane")        161        if (placeMarker == 1):162            print("This is an automobile")       163        if (placeMarker == 2):164            print("This is a bird")       165        if (placeMarker == 3):166            print("This is a cat.")        167        if (placeMarker == 4):168            print("This is a deer.")        169        if (placeMarker == 5):170            print("This is a dog.")       171        if (placeMarker == 6):172            print("This is a frog.")        173        if (placeMarker == 7):174            print("This is a horse.")        175        if (placeMarker == 8):176            print("This is a ship.")        177        if (placeMarker == 9):178            print("This is a truck.")179180    except ValueError:  181        print("Error: a non-integer value was entered.\n"182              "Please only enter a valid integer between 1 and 20")183    except UnboundLocalError:184        print("Error: This integer is out of the given range.\n"185              "Please only enter a valid integer between 1 and 20")186        187    return None188def main():189     190    user_choice = input("Would you like to enable multi-image processing? Type: 'y', or type 'n' for single image processing:")191192    if(user_choice.lower()=='y'):193        multiprocessing()    194    elif(user_choice.lower()=='n'):195        run_example()196    else:197        print("Please make a valid selection")198        main()199        200if __name__ == '__main__':
...

test.py

Source:test.py

1# -*- coding: utf-8 -*-2import vtk3import numpy as np4import libtiff as lt5class MyStyle(vtk.vtkInteractorStyleImage):6    def __init__(self, parent=None):7        print "ddd"8        self.AddObserver("LeftButtonPressEvent", self.leftButtonDown)9        self.AddObserver("MouseWheelForwardEvent", self.forward_fun)10        self.AddObserver("MouseWheelBackwardEvent", self.backward_fun)11        12        13    def forward_fun(self, *arg):14        s = imageViewer.GetSlice()15        n = s + 116        if n > 511:17            n = 018        imageViewer.SetSlice(n)19    20    def backward_fun(self, *arg):21        s = imageViewer.GetSlice()22        n = s - 123        if n < 0:24            n = 51125        imageViewer.SetSlice(n)26    27    def leftButtonDown(self, *arg):28        inter1 = self.GetInteractor()29        click_pos = inter1.GetEventPosition()30        s = imageViewer.GetSlice()31#        print imageViewer.GetSize()32#        print imageViewer.GetImageActor().GetBounds()33#        image_data.SetScalarComponentFromFloat(click_pos[0], click_pos[1], s, 0, 255.0)34#        image_data.SetScalarComponentFromFloat(click_pos[0] + 1, click_pos[1], s, 0, 255.0)35#        image_data.SetScalarComponentFromFloat(click_pos[0], click_pos[1] + 1, s, 0, 255.0)36#        image_data.SetScalarComponentFromFloat(click_pos[0] - 1, click_pos[1], s, 0, 255.0)37#        image_data.SetScalarComponentFromFloat(click_pos[0], click_pos[1] - 1, s, 0, 255.0)38#        image_import.Modified()39#        image_import.Update()40#        imageViewer.SetInput(image_import.GetOutput())41#        imageViewer.Render()42        picker = vtk.vtkCellPicker()43        picker.Pick(click_pos[0], click_pos[1], s, imageViewer.GetRenderer())44        pos = picker.GetPickPosition()45        print pos46        sphereSource = vtk.vtkSphereSource()47        sphereSource.SetCenter(pos[0], pos[1], pos[2])48        sphereSource.SetRadius(1)49        sphereMapper = vtk.vtkPolyDataMapper()50        sphereMapper.SetInputConnection(sphereSource.GetOutputPort())51        sphereActor = vtk.vtkActor()52        sphereActor.SetMapper(sphereMapper)53        sphereActor.GetProperty().SetColor(255.0, 0.0, 0.0)54        imageViewer.GetRenderer().AddActor(sphereActor)55        imageViewer.Render()56def fun1():57    print "ddddd"58global i, imageViewer59i = 10060Tiff = lt.TIFF3D.open('G:\\sulei\\workplace\\Swc\\res\\22_24_12.tif', 'r')61images = Tiff.read_image()62image_import  = vtk.vtkImageImport()63images = np.require(images, dtype=np.uint8)64images_string = images.tostring()65image_import.CopyImportVoidPointer(images_string, len(images_string))66image_import.SetDataScalarTypeToUnsignedChar()67image_import.SetDataExtent(0, 511, 0, 511, 0, 511)68image_import.SetWholeExtent(0, 511, 0, 511, 0, 511)69image_import.SetNumberOfScalarComponents(1)70image_import.Update()71image_data = image_import.GetOutput()72#image_data1 = vtk.vtkImageData()73#image_data1.DeepCopy(image_data)74style = MyStyle()75irenWin = vtk.vtkRenderWindowInteractor()76   77#style = vtk.vtkInteractorStyleImage()78#style.SetInteractionModeToImageSlicing()79#style.AddObserver("LeftButtonPressEvent", fun1)80#irenWin.SetInteractorStyle(style)81imageViewer = vtk.vtkImageViewer2()82imageViewer.SetInput(image_data)83imageViewer.SetupInteractor(irenWin)84imageViewer.SetColorLevel(50)85imageViewer.SetColorWindow(100)86imageViewer.SetSlice(i)87imageViewer.SetSliceOrientationToXY()88imageViewer.Render()89irenWin.SetInteractorStyle(style)                                    #the location is important...

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