Cannot make it work

Question

Cannot make it work

Closed this issue 5 years ago · 3 comments

I've tried to make it work on my laptop but I face many issues.

I'm running Python 3.6.8 (through conda) on Mac OS X 10.14.6
I've done :
$pip install maskrcnn-modanet

download the 3Go dataset

$maskrcnn-modanet instagram -p reginaanikiy -c s

And I've got a lot of warning, deprecated API use and finally an error:
`$ …/Downloads/maskrcnn  maskrcnn-modanet instagram -p reginaanikiy -c s
Stored ID 612257866 for profile reginaanikiy.
<Profile reginaanikiy (612257866)>
Retrieving posts from profile reginaanikiy.
[ 1/499]
[ 2/499]
...
[498/499]
[499/499]
Using TensorFlow backend.
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:From /anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/maskrcnn_modanet/processimages.py:65: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/maskrcnn_modanet/processimages.py:67: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2019-09-23 16:48:51.814559: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
/Users/p.boudoin/Downloads/maskrcnn/results/resnet50_coco_v0.2.0.h5
tracking <tf.Variable 'Variable:0' shape=(9, 4) dtype=float32> anchors
tracking <tf.Variable 'Variable_1:0' shape=(9, 4) dtype=float32> anchors
tracking <tf.Variable 'Variable_2:0' shape=(9, 4) dtype=float32> anchors
tracking <tf.Variable 'Variable_3:0' shape=(9, 4) dtype=float32> anchors
tracking <tf.Variable 'Variable_4:0' shape=(9, 4) dtype=float32> anchors
WARNING:tensorflow:From /anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras_retinanet/backend/tensorflow_backend.py:68: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.

WARNING:tensorflow:From /anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4070: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

WARNING:tensorflow:From /anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras_retinanet/backend/tensorflow_backend.py:104: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
Traceback (most recent call last):
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1871, in zeros
output = _constant_if_small(zero, shape, dtype, name)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1828, in _constant_if_small
if np.prod(shape) < 1000:
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py", line 5169, in less
"Less", x=x, y=y, name=name)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3616, in create_op
op_def=op_def)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2043, in init
self._control_flow_post_processing()
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2052, in _control_flow_post_processing
control_flow_util.CheckInputFromValidContext(self, input_tensor.op)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_util.py", line 350, in CheckInputFromValidContext
raise ValueError(error_msg + " See info log for more details.")
ValueError: Cannot use 'roi_align_1/map/while/strided_slice_20' as input to 'roi_align_1/map/while/zeros/Less' because 'roi_align_1/map/while/strided_slice_20' is in a while loop. See info log for more details.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/anaconda3/envs/virtualfittingroom/bin/maskrcnn-modanet", line 10, in
sys.exit(main())
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/click/core.py", line 764, in call
return self.main(*args, **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/click/core.py", line 717, in main
rv = self.invoke(ctx)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/click/core.py", line 1137, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/click/core.py", line 956, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/click/core.py", line 555, in invoke
return callback(*args, **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/click/decorators.py", line 17, in new_func
return f(get_current_context(), *args, **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/maskrcnn_modanet/cli/main.py", line 122, in instagram
instagramImpl(profile, limit=limit, offset=offset, choice=choice, restore_result=restore_result)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/maskrcnn_modanet/instagram_impl.py", line 428, in instagramImpl
model, labels_to_names = loadModel(model_type='coco')
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/maskrcnn_modanet/processimages.py", line 58, in loadModel
model = models.load_model(model_path, backbone_name='resnet50')
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras_maskrcnn/models/init.py", line 59, in load_model
return keras.models.load_model(filepath, custom_objects=backbone(backbone_name).custom_objects)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/engine/saving.py", line 492, in load_wrapper
return load_function(*args, **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/engine/saving.py", line 584, in load_model
model = _deserialize_model(h5dict, custom_objects, compile)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/engine/saving.py", line 274, in _deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/engine/saving.py", line 627, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/layers/init.py", line 168, in deserialize
printable_module_name='layer')
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/utils/generic_utils.py", line 147, in deserialize_keras_object
list(custom_objects.items())))
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/engine/network.py", line 1075, in from_config
process_node(layer, node_data)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/engine/network.py", line 1025, in process_node
layer(unpack_singleton(input_tensors), **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/engine/base_layer.py", line 489, in call
output = self.call(inputs, **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras_maskrcnn/layers/roi.py", line 89, in call
parallel_iterations=self.parallel_iterations
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras_retinanet/backend/tensorflow_backend.py", line 35, in map_fn
return tensorflow.map_fn(*args, **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/map_fn.py", line 268, in map_fn
maximum_iterations=n)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 3501, in while_loop
return_same_structure)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 3012, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2937, in _BuildLoop
body_result = body(*packed_vars_for_body)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 3456, in
body = lambda i, lv: (i + 1, orig_body(*lv))
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/map_fn.py", line 257, in compute
packed_fn_values = fn(packed_values)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras_maskrcnn/layers/roi.py", line 72, in _roi_align
keras.backend.zeros((keras.backend.shape(level_boxes)[0],), dtype='int32'),
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 963, in zeros
v = tf.zeros(shape=shape, dtype=dtype, name=name)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1880, in zeros
shape = ops.convert_to_tensor(shape, dtype=dtypes.int32)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1087, in convert_to_tensor
return convert_to_tensor_v2(value, dtype, preferred_dtype, name)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1145, in convert_to_tensor_v2
as_ref=False)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1224, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1145, in _autopacking_conversion_function
return _autopacking_helper(v, dtype, name or "packed")
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1095, in _autopacking_helper
return gen_array_ops.pack(elems_as_tensors, name=scope)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 5897, in pack
"Pack", values=values, axis=axis, name=name)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3616, in create_op
op_def=op_def)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2043, in init
self._control_flow_post_processing()
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2052, in _control_flow_post_processing
control_flow_util.CheckInputFromValidContext(self, input_tensor.op)
File "/anaconda3/envs/virtualfittingroom/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_util.py", line 350, in CheckInputFromValidContext
raise ValueError(error_msg + " See info log for more details.")
ValueError: Cannot use 'roi_align_1/map/while/strided_slice_20' as input to 'roi_align_1/map/while/zeros/packed' because 'roi_align_1/map/while/strided_slice_20' is in a while loop. See info log for more details.`

Could you help me and provide your python, TensorFlow, Keras versions please?

Answer 1 · 2019-09-24T14:56:36.000Z

I have the same issue.

ValueError: Cannot use 'roi_align_1/map/while/strided_slice_20' as input to 'roi_align_1/map/while/zeros/packed' because 'roi_align_1/map/while/strided_slice_20' is in a while loop. See info log for more details.

Answer 2 · 2019-09-25T22:41:29.000Z

You need tensorflow 1.12 and keras 2.24.

Answer 3 · 2019-10-02T17:54:51.000Z

Hi all,

sorry for the late reply, but I just started the Master in CS @ Polytechnic of Milan and I had to focus my attention to that for a while.

I suggest to try out my google colab that I personally use to not have to heat up my computer :)

https://colab.research.google.com/drive/11ytb0srMyOGXQtHoF0ocCkKGNTb7fvmq

I had a private conversation with @pboudoin and it worked, at least on the colab setup.

Let me know if this is still an issue, I'll close it for the moment.