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我从这个链接克隆的人类姿态估计keras模型人体姿势估计keras

当我尝试在Google Colab上加载模型时，出现以下错误

码

from keras.models import load_model
model = load_model('model.h5')

错误

ValueError                                Traceback (most recent call 

last)
<ipython-input-29-bdcc7d8d338b> in <module>()
      1 from keras.models import load_model
----> 2 model = load_model('model.h5')

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in load_model(filepath, custom_objects, compile)
    417     f = h5dict(filepath, 'r')
    418     try:
--> 419         model = _deserialize_model(f, custom_objects, compile)
    420     finally:
    421         if opened_new_file:

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in _deserialize_model(f, custom_objects, compile)
    219         return obj
    220 
--> 221     model_config = f['model_config']
    222     if model_config is None:
    223         raise ValueError('No model found …

我正在尝试使用 dnn 模块中的 blobFromImages 创建多个帧的 blob。

def batch_process(self, frames):
    blob = cv.dnn.blobFromImages(frames, 1./255, (368, 368), (0, 0, 0), swapRB=False, crop=False)
    self.net.setInput(blob)
    out = self.net.forward()
    detected_points = np.zeros((frames.shape[0], 36))

    for i in range(frames.shape[0]):
        points = np.array([])
        for j in range(18):
            heatMap = out[i, j, :, :]
            _, conf, _, point = cv.minMaxLoc(heatMap)
            if conf > 0.1:
                points = np.append(points, [point[0], point[1]])
            else:
                points = np.append(points, [0, 0])
        detected_points[i] = points

    return detected_points

但是当我调用该函数时，我收到如下错误：-

OpenCV(3.4.1) Error: Assertion failed (image.depth() == 5) in …