Keras中出现意外的关键字参数“ragged”

Question

尝试使用以下python代码运行经过训练的keras模型：

from keras.preprocessing.image import img_to_array
from keras.models import load_model

from imutils.video import VideoStream
from threading import Thread
import numpy as np
import imutils
import time
import cv2
import os

MODEL_PATH = "/home/pi/Documents/converted_keras/keras_model.h5"

print("[info] loading model..")
model = load_model(MODEL_PATH)


print("[info] starting vid stream..")
vs = VideoStream(usePiCamera=True).start()
time.sleep(2.0)

while True:
    frame = vs.Read()
    frame = imutils.resize(frame, width=400)

    image = cv2.resize(frame, (28, 28))
    image = image.astype("float") / 255.0
    image = img_to_array(image)
    image = np.expand_dims(image, axis=0)
    (fuel, redBall, whiteBall, none) = model.predict(image)[0]
    label = "none"
    proba = none

    if fuel > none and fuel > redBall and fuel > whiteBall:
        label = "Fuel"
        proba = fuel
    elif redBall > none and redBall > fuel and redBall > whiteBall:
        label = "Red Ball"
        proba = redBall
    elif whiteBall > none and whiteBall > redBall and whiteBall > fuel:
        label = "white ball"
        proba = whiteBall
    else:
        label = "none"
        proba = none

    label = "{}:{:.2f%}".format(label, proba * 100)
    frame = cv2.putText(frame, label, (10, 25),
                        cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1) & 0xFF

    if key == ord("q"):
        break

print("[info] cleaning up..")
cv2.destroyAllWindows()
vs.stop()

当我用python3运行它时，我得到以下错误： TypeError: __init__() got an unexpected keyword argument 'ragged'

是什么导致了这个错误，我该如何避免它？在

版本： Keras v2.3.1版 tensorflow v1.13.1版

编辑以添加：

^{pr2}$

h5 file link (google drive)

Answer 1

所以我尝试了上面你提到的teachable machine
事实证明，您导出的模型是从tensorflow.keras而不是直接从kerasAPI导出的。这两者是不同的。所以在加载时可能使用衣衫褴褛可能与keras API不兼容的张量。

解决您的问题：

不要直接导入keras，因为模型是用Tensorflow的keras高级api保存的。将所有导入更改为tensorflow.keras

更改：

from keras.preprocessing.image import img_to_array
from keras.models import load_model

为此：

^{pr2}$

它会解决你的问题。在