cv_test1.py

import cv2
# import fastai
# from fastai import *
# from fastai.vision import *
import pathlib

# path = pathlib.PosixPath('./data/asl-alphabet/')
# data = ImageDataBunch.from_folder(path=path,ds_tfms=get_transforms(),size=224,valid_pct=0.3)
# data.normalize(imagenet_stats)
# learn = create_cnn(data,models.resnet34,metrics=accuracy)

# learn.load('stage-1')


cap = cv2.VideoCapture(0)

while(True):
    ret, frame = cap.read()   #capture each frame
    ret = cap.set(3,224)
    ret = cap.set(4,224)

    # gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)   #converts each frame to gray

    cv2.imshow('FRAME',frame)
    # cv2.imshow('GRAY',gray)

    #For capturing frame and saving it as an image at given folder:
    # if cv2.waitKey(1) == ord('n'):
        # cv2.imwrite('test1.jpg',frame)
    
    #making actual prediction for each frame:=============================================
    

    #For quitting the given session: ord is used to obtain unicode of the given string.
    #cv2.waitKey returns the unicode of the key which is pressed
    if cv2.waitKey(10) == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()