使用CNN图像重塑问题的手势识别

Question

我从网络摄像头输入的新图像与训练输入大小不同

试图更改值以适合调整大小功能

IMG_SIZE=100

def createTraining():
    for categ in CATEGORIES:
        path = os.path.join(datadir,categ)
        class_num=CATEGORIES.index(categ)
        for img in os.listdir(path):
            try:
                img_array=cv2.imread(os.path.join(path,img), cv2.IMREAD_GRAYSCALE)
                new_array=cv2.resize(img_array,(IMG_SIZE,IMG_SIZE))
                training_data.append([new_array,class_num])

以下是笔记本电脑的网络摄像头输入：

camera=cv2.VideoCapture(0)

while True:
    ret,frame=camera.read()
    gray=cv2.cvtColor(frame,cv2.IMREAD_GRAYSCALE)
    cv2.imshow('frame',gray)
    frame=cv2.resize(frame,(IMG_SIZE,IMG_SIZE))
    frame=np.stack((frame)*3,axis=-1)
    frame=frame.reshape(1,100,100,1)
    prediction,score=predict_image(frame)

错误消息：

 frame=frame.reshape(1,100,100,1)
ValueError: cannot reshape array of size 30000 into shape (1,100,100,1)