forest.py 文件源码

def predict(url):
    global model      
    # Read image
    image = io.imread(url)
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
    image = cv2.resize(image, (500, 500), interpolation=cv2.INTER_CUBIC)    

    # Use otsu to mask
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    ret, mask = cv2.threshold(gray,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
    mask = cv2.medianBlur(mask, 5)

    features = describe(image, mask)

    state = le.inverse_transform(model.predict([features]))[0]
    return {'type': state}