OpenCV Error: Assertion failed (ssize.width > 0 && ssize.height > 0) in resize, file /io/opencv/modules/imgproc/src/resize.cpp, line 3289

• face_recognition version : last version
• Python version : 3.5
• Operating System : linux

I try to read images from folders by using this litle code :

def Split_path_image():
    for i in range(len(Image_path)):
        Name_list.append(Image_path[i].split("/")[-1])
    return Name_list

def Split_name():
    for name in Name_list:
        Nsplit = str(name).split('.')
        NameSplit.append(Nsplit)
    return NameSplit


NameSplit = Loading.Split_name()
Name_list=Loading.Split_path_image()

for iname, path_name in zip(NameSplit, Name_list):
    known_faces = []
    path=os.path.join('images', path_name)
    if os.path.exists(path):
        name = face_recognition.load_image_file(path)
        name_face_encoding = face_recognition.face_encodings(name)[0]
        known_faces.append(name_face_encoding)
        names.append(iname[0])

when I run the project I get this problem :

VIDEOIO ERROR: V4L2: Pixel format of incoming image is unsupported by OpenCV
Unable to stop the stream: Device or resource busy
OpenCV Error: Assertion failed (ssize.width > 0 && ssize.height > 0) in resize, file /io/opencv/modules/imgproc/src/resize.cpp, line 3289
Called with args:
Namespace(image_height=1080, image_width=1920, rtsp_latency=200, rtsp_uri=None, use_rtsp=False, use_usb=False, video_dev=1)
OpenCV version: 3.3.1
Traceback (most recent call last):
  File "/home/hamza/um6p_project/Face_recognition/Face_Recognition_demo2.py", line 101, in <module>
    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
cv2.error: /io/opencv/modules/imgproc/src/resize.cpp:3289: error: (-215) ssize.width > 0 && ssize.height > 0 in function resize

please help me to solve this problem :

Start at Face_Recognition_demo2.py line 101, where frame is passed to cv2.resize, and inspect how the camera frame is acquired with video_dev=1. Reproduce the V4L2 errors and verify whether the input frame is empty before resize. Done means the camera input issue is understood and resize no longer receives an empty frame.