Failed to load weights

[vBLFTePebWNi6c]

When I tried to create an instance of MTCNN detector, something went wrong:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-7-be16e7eec9f4> in <module>
      3 
      4 img = cv2.imread("ivan.jpg")
----> 5 detector = MTCNN()
      6 
      7 for i in range(len(images)):

.../lib/python3.5/site-packages/mtcnn/mtcnn.py in __init__(self, weights_file, min_face_size, steps_threshold, scale_factor)
    193             self.__session = tf.Session(config=config, graph=self.__graph)
    194 
--> 195             weights = np.load(weights_file).item()
    196             self.__pnet = PNet(self.__session, False)
    197             self.__pnet.set_weights(weights['PNet'])

.../lib/python3.5/site-packages/numpy/lib/npyio.py in load(file, mmap_mode, allow_pickle, fix_imports, encoding)
    445             else:
    446                 return format.read_array(fid, allow_pickle=allow_pickle,
--> 447                                          pickle_kwargs=pickle_kwargs)
    448         else:
    449             # Try a pickle

.../lib/python3.5/site-packages/numpy/lib/format.py in read_array(fp, allow_pickle, pickle_kwargs)
    690         # The array contained Python objects. We need to unpickle the data.
    691         if not allow_pickle:
--> 692             raise ValueError("Object arrays cannot be loaded when "
    693                              "allow_pickle=False")
    694         if pickle_kwargs is None:

ValueError: Object arrays cannot be loaded when allow_pickle=False

I googled a bit and now think that problem causes due to new versions of numpy (see this issue: tensorflow/tensorflow#28102).

[elmahyai]

Exactly. It works after adding allow_pickle=True
#32

[togelian]

I fixed it by changing line 195 in mtcnn.py to:
weights = np.load(weights_file, allow_pickle=True).item()

Just in case any others have the same problem