python detect.py causng error

[SodaCoder]

When I do:
python detect.py Dataset/Sampleinput/input.png,

I get the following error:

Traceback (most recent call last):
File "detect.py", line 123, in
shared_layers = nn.nn_base(img_input, trainable=True)
File "/data2/charades2/ZSD_Release/keras_frcnn/resnet.py", line 182, in nn_base
x = FixedBatchNormalization(axis=bn_axis, name='bn_conv1')(x)
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 75, in symbolic_fn_wrapper
return func(*args, **kwargs)
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/engine/base_layer.py", line 463, in call
self.build(unpack_singleton(input_shapes))
File "/data2/charades2/ZSD_Release/keras_frcnn/FixedBatchNormalization.py", line 31, in build
trainable=False)
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/engine/base_layer.py", line 279, in add_weight
weight = K.variable(initializer(shape, dtype=dtype),
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/initializers.py", line 46, in call
return K.constant(1, shape=shape, dtype=dtype)
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 649, in constant
value, dtype=dtype, shape=shape, name=name)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/backend.py", line 937, in constant
return constant_op.constant(value, dtype=dtype, shape=shape, name=name)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py", line 258, in constant
allow_broadcast=True)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py", line 287, in _constant_impl
return _eager_fill(shape.as_list(), t, ctx)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py", line 52, in _eager_fill
dims = convert_to_eager_tensor(dims, ctx, dtypes.int32)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py", line 96, in convert_to_eager_tensor
return ops.EagerTensor(value, ctx.device_name, dtype)
ValueError: Attempt to convert a value (None) with an unsupported type (<class 'NoneType'>) to a Tensor.

Could you resolve this issue? I checked the shape is (None ,). That might be causing the problem. My question is why shape is (None ,)?

[longyuz0426]

When I do:
python detect.py Dataset/Sampleinput/input.png,

I get the following error:

Traceback (most recent call last):
File "detect.py", line 123, in
shared_layers = nn.nn_base(img_input, trainable=True)
File "/data2/charades2/ZSD_Release/keras_frcnn/resnet.py", line 182, in nn_base
x = FixedBatchNormalization(axis=bn_axis, name='bn_conv1')(x)
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 75, in symbolic_fn_wrapper
return func(*args, **kwargs)
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/engine/base_layer.py", line 463, in call
self.build(unpack_singleton(input_shapes))
File "/data2/charades2/ZSD_Release/keras_frcnn/FixedBatchNormalization.py", line 31, in build
trainable=False)
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/engine/base_layer.py", line 279, in add_weight
weight = K.variable(initializer(shape, dtype=dtype),
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/initializers.py", line 46, in call
return K.constant(1, shape=shape, dtype=dtype)
File "/home/user/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 649, in constant
value, dtype=dtype, shape=shape, name=name)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/backend.py", line 937, in constant
return constant_op.constant(value, dtype=dtype, shape=shape, name=name)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py", line 258, in constant
allow_broadcast=True)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py", line 287, in _constant_impl
return _eager_fill(shape.as_list(), t, ctx)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py", line 52, in _eager_fill
dims = convert_to_eager_tensor(dims, ctx, dtypes.int32)
File "/home/user/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py", line 96, in convert_to_eager_tensor
return ops.EagerTensor(value, ctx.device_name, dtype)
ValueError: Attempt to convert a value (None) with an unsupported type (<class 'NoneType'>) to a Tensor.

Could you resolve this issue? I checked the shape is (None ,). That might be causing the problem. My question is why shape is (None ,)?

Hi, I have the same problem. Did you find the solution?

[jjjj32481]

When the tensorflow and keras version are higher than the requirements provided by author.
Please make sure the code in resnet.py:
Change if K.image_dim_ordering() == 'tf' towards if K.image_data_format() == 'channels_last'
And if K.image_dim_ordering() == 'th' towards if K.image_data_format() == 'channels_first'