'NoneType' object is not iterable - Emotion Detection Error

Question

I am trying to achieve emotion detection using opencv2. However when I run the python script it would have this error:

In 1: runfile('C:/Users/Belay Mendez/Desktop/SIGNLAB PROJECT/face-expression-detect-master/EmoDetect.py', wdir='C:/Users/Belay Mendez/Desktop/SIGNLAB PROJECT/face-expression-detect-master')

usage: EmoDetect.py [-h] [-i I [I ...]]

optional arguments:

-h, --help show this help message and exit

-i I [I ...] Enter the filenames with extention of an Image

Initializing Dlib face Detector..

Loading landmark identification data...

Unable to find trained facial shape predictor.

You can download a trained facial shape predictor from:

http://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2

Loading trained data.....

Unable to load trained data.

Make sure that traindata.pkl and pcadata.pkl are in the current directory

Traceback (most recent call last):

File "", line 1, in

runfile('C:/Users/Belay Mendez/Desktop/SIGNLAB PROJECT/face-expression-detect-master/EmoDetect.py',

wdir='C:/Users/Belay Mendez/Desktop/SIGNLAB PROJECT/face-expression-detect-master')

File "C:\Users\Belay Mendez\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 880, in runfile

execfile(filename, namespace)

File "C:\Users\Belay Mendez\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile

exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/Belay Mendez/Desktop/SIGNLAB PROJECT/face-expression-detect-master/EmoDetect.py", line 105, in

for filename in arg.i:

TypeError: 'NoneType' object is not iterable

TypeError: 'NoneType' object is not iterable

It would then crash the kernel and is unable to start it and then leads to this:

libpng warning: Image width is zero in IHDR
libpng warning: Image height is zero in IHDR
libpng error: Invalid IHDR data
libpng warning: Image width is zero in IHDR
libpng warning: Image height is zero in IHDR
libpng error: Invalid IHDR data

I don't know what is wrong, here is our codes below:

import argparse,sys

try:
    from FeatureGen import*
except ImportError:
    print ("Make sure FeatureGen.pyc file is in the current directory")
    exit()

try:
    import dlib
    from skimage import io
    import numpy
    import cv2
    from sklearn.externals import joblib
except ImportError:
        print ("Make sure you have OpenCV, dLib, scikit learn and skimage libraries properly installed")
        exit()

emotions={ 1:"Anger", 2:"Contempt", 3:"Disgust", 4:"Fear", 5:"Happy", 6:"Sadness", 7:"Surprise"}

def Predict_Emotion(filename):

    print ("Opening image....")
    try:
        img=io.imread(filename)
        cvimg=cv2.imread(filename)
    except:
        print ("Exception: File Not found.")
        return

    win.clear_overlay()
    win.set_image(img)

    dets=detector(img,1)

    if len(dets)==0:
        print ("Unable to find any face.")
        return

    for k,d in enumerate(dets):

        shape=predictor(img,d)
        landmarks=[]
        for i in range(68):
            landmarks.append(shape.part(i).x)
            landmarks.append(shape.part(i).y)


        landmarks=numpy.array(landmarks)

        print ("Generating features......")
        features=generateFeatures(landmarks)
        features= numpy.asarray(features)

        print ("Performing PCA Transform.......")
        pca_features=pca.transform(features)

        print ("Predicting using trained model........")
        emo_predicts=classify.predict(pca_features)
        print ("Predicted emotion using trained data is { " + emotions[int(emo_predicts[0])] + " }")
        print ("")

        font = cv2.FONT_HERSHEY_SIMPLEX
        cv2.putText(cvimg,emotions[int(emo_predicts[0])],(20,20), font, 1,(0,255,255),2)

        win.add_overlay(shape)

    cv2.namedWindow("Output")
    cv2.imshow("Output",cvimg)
    cv2.waitKey(0)


if __name__ == "__main__":

    parser = argparse.ArgumentParser()
    parser.add_argument('-i', type=str, nargs='+', help="Enter the filenames with extention of an Image")
    arg=parser.parse_args()

    if not len(sys.argv) > 1:
        parser.print_help()
        exit()

    landmark_path="shape_predictor_68_face_landmarks.dat"

    print ("Initializing Dlib face Detector..")
    detector= dlib.get_frontal_face_detector()

    print ("Loading landmark identification data...")
    try:
        predictor= dlib.shape_predictor(landmark_path)
    except:
        print ("Unable to find trained facial shape predictor. \nYou can download a trained facial shape predictor from: \nhttp://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2")
        exit()


    win=dlib.image_window()

    print ("Loading trained data.....")

    try:
        classify=joblib.load("traindata.pkl")
        pca=joblib.load("pcadata.pkl")
    except:
        print ("Unable to load trained data. \nMake sure that traindata.pkl and pcadata.pkl are in the current directory")
        exit()

    for filename in arg.i:
        Predict_Emotion(filename)

I do not know why it does not perform the same as the video I copied it from which is this: Face Expression Recognition using python The files needed for the code is also here face-expression prediction using python. Last, it also crashes the kernel.

Your help will be appreciated.