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 asref=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.