Initialize MTCNN with ValueError

[freddie0216]

System information
Python: 3.6.5
Numpy: 1.18.2
Tensorflow: 2.0.0

Describe the current behavior
I am trying to create an object of MTCNN with following code:
from mtcnn.mtcnn import MTCNN
detector = MTCNN()

But got error call stack like following:
ValueError Traceback (most recent call last)
in ()
1 from mtcnn.mtcnn import MTCNN
----> 2 detector = MTCNN()

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\mtcnn\mtcnn.py in init(self, weights_file, min_face_size, steps_threshold, scale_factor)
86 self._scale_factor = scale_factor
87
---> 88 self._pnet, self._rnet, self._onet = NetworkFactory().build_P_R_O_nets_from_file(weights_file)
89
90

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\mtcnn\network\factory.py in build_P_R_O_nets_from_file(self, weights_file)
122
123 p_net = self.build_pnet()
--> 124 r_net = self.build_rnet()
125 o_net = self.build_onet()
126

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\mtcnn\network\factory.py in build_rnet(self, input_shape)
74 r_layer = PReLU(shared_axes=[1, 2])(r_layer)
75 r_layer = Flatten()(r_layer)
---> 76 r_layer = Dense(128)(r_layer)
77 r_layer = PReLU()(r_layer)
78

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\keras\backend\tensorflow_backend.py in symbolic_fn_wrapper(*args, **kwargs)
73 if _SYMBOLIC_SCOPE.value:
74 with get_graph().as_default():
---> 75 return func(*args, **kwargs)
76 else:
77 return func(*args, **kwargs)

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\keras\engine\base_layer.py in call(self, inputs, **kwargs)
461 'You can build it manually via: '
462 'layer.build(batch_input_shape)')
--> 463 self.build(unpack_singleton(input_shapes))
464 self.built = True
465

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\keras\layers\core.py in build(self, input_shape)
893 name='kernel',
894 regularizer=self.kernel_regularizer,
--> 895 constraint=self.kernel_constraint)
896 if self.use_bias:
897 self.bias = self.add_weight(shape=(self.units,),

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\keras\engine\base_layer.py in add_weight(self, name, shape, dtype, initializer, regularizer, trainable, constraint)
277 if dtype is None:
278 dtype = self.dtype
--> 279 weight = K.variable(initializer(shape, dtype=dtype),
280 dtype=dtype,
281 name=name,

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\keras\initializers.py in call(self, shape, dtype)
225 limit = np.sqrt(3. * scale)
226 x = K.random_uniform(shape, -limit, limit,
--> 227 dtype=dtype, seed=self.seed)
228 if self.seed is not None:
229 self.seed += 1

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\keras\backend\tensorflow_backend.py in random_uniform(shape, minval, maxval, dtype, seed)
4355 with tf_ops.init_scope():
4356 return tf_keras_backend.random_uniform(
-> 4357 shape, minval=minval, maxval=maxval, dtype=dtype, seed=seed)
4358
4359

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\keras\backend.py in random_uniform(shape, minval, maxval, dtype, seed)
5596 seed = np.random.randint(10e6)
5597 return random_ops.random_uniform(
-> 5598 shape, minval=minval, maxval=maxval, dtype=dtype, seed=seed)
5599
5600

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\ops\random_ops.py in random_uniform(shape, minval, maxval, dtype, seed, name)
235 maxval = 1
236 with ops.name_scope(name, "random_uniform", [shape, minval, maxval]) as name:
--> 237 shape = tensor_util.shape_tensor(shape)
238 minval = ops.convert_to_tensor(minval, dtype=dtype, name="min")
239 maxval = ops.convert_to_tensor(maxval, dtype=dtype, name="max")

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\framework\tensor_util.py in shape_tensor(shape)
962 # not convertible to Tensors becasue of mixed content.
963 shape = tuple(map(tensor_shape.dimension_value, shape))
--> 964 return ops.convert_to_tensor(shape, dtype=dtype, name="shape")
965
966

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\framework\ops.py in convert_to_tensor(value, dtype, name, preferred_dtype, dtype_hint)
1182 preferred_dtype = deprecation.deprecated_argument_lookup(
1183 "dtype_hint", dtype_hint, "preferred_dtype", preferred_dtype)
-> 1184 return convert_to_tensor_v2(value, dtype, preferred_dtype, name)
1185
1186

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\framework\ops.py in convert_to_tensor_v2(value, dtype, dtype_hint, name)
1240 name=name,
1241 preferred_dtype=dtype_hint,
-> 1242 as_ref=False)
1243
1244

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\framework\ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accept_composite_tensors)
1294
1295 if ret is None:
-> 1296 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1297
1298 if ret is NotImplemented:

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\framework\constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref)
284 as_ref=False):
285 _ = as_ref
--> 286 return constant(v, dtype=dtype, name=name)
287
288

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\framework\constant_op.py in constant(value, dtype, shape, name)
225 """
226 return _constant_impl(value, dtype, shape, name, verify_shape=False,
--> 227 allow_broadcast=True)
228
229

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\framework\constant_op.py in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast)
233 ctx = context.context()
234 if ctx.executing_eagerly():
--> 235 t = convert_to_eager_tensor(value, ctx, dtype)
236 if shape is None:
237 return t

C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\site-packages\tensorflow_core\python\framework\constant_op.py in convert_to_eager_tensor(value, ctx, dtype)
94 dtype = dtypes.as_dtype(dtype).as_datatype_enum
95 ctx.ensure_initialized()
---> 96 return ops.EagerTensor(value, ctx.device_name, dtype)
97
98

ValueError: Attempt to convert a value (576) with an unsupported type () to a Tensor.