self.mpSelfieSegmentation = mp.solutions.selfie_segmentation
AttributeError: module 'mediapipe.python.solutions' has no attribute 'selfie_segmentation'
Any one has solution for this?
I had the same issue, and I was initially on mediapipe==0.8.3.
Issue was resolved once I updated to mediapipe==0.8.9.1 using pip install mediapipe==0.8.9.1.
Related
Whenever I use this line:
keras.utils.data_utils.SequenceIterator([train_generator_object, train_generator_nonobject])
I get this error:
AttributeError: module 'keras.api._v2.keras.utils' has no attribute 'data_utils'
Is there a fix for this?
P.S. I am using google colab
I am trying to use pandas_bokeh to create a line graph with a pandas dataframe I call bucketed_df
import pandas_bokeh
pandas_bokeh.output_notebook()
bucketed_df.plot_bokeh(kind='line')
for some reason I get the error
AttributeError: unexpected attribute 'plot_width' to figure, similar attributes are outer_width, width or min_width
Im not sure what this is or how toi fix it. I am using python 3.9 and jupyter notebooks
I have a matplotlib linegraph in a cell above it. I am thinking there could be some issue with that.
Also if anyone knows any interactive graphs that are better I am open to switching to a different library.
I'm getting a similar error on a recent install of bokeh==3.0.1.
The error goes away if I install version 2.4.3 (last release) with pip install --upgrade bokeh==2.4.3
It seems there was a breaking change in 3.0.0 that hasn't been addressed yet. If you have time, post this issue at https://github.com/bokeh/bokeh/issues.
temp way:
File ".../lib/python3.10/site-packages/pandas_bokeh/plot.py", line 439, in plot
Add
figure_options['width'] = figure_options['plot_width']
figure_options['height'] = figure_options['plot_height']
del figure_options['plot_width']
del figure_options['plot_height']
can be done like
p=figure(min_width=500, height=500)
or simply,
p=figure(width=500, height=500)
this may help.
I just discovered GitLab's groups and decided that it would be ideal for the kind of work I am doing. I created a private group and am getting the following error when I try to create a project under it:
The form contains the following error:
PG::QueryCanceled: ERROR: canceling statement due to statement timeout CONTEXT: while rechecking updated tuple (0,187) in relation "site_statistics" : UPDATE "site_statistics" SET "repositories_count" = "repositories_count"+1
I attempted to do the same in a new subgroup; however, I still get the same error. I must add that I am not using a paid plan of GitLab.
Thank you.
I have the same issue. I think only thing that we can to do is to wait until this error will fix.
Found this issue page: https://gitlab.com/gitlab-org/gitlab-ce/issues/53778
One one machine, I have tensorflow version 0.11.0rc0 and on another machine tensorflow 0.10.0rc0. On the latter, tf.batch_matrix_diag works fine, but on the former, I get the error AttributeError: 'module' object has no attribute 'batch_matrix_diag'
---EDIT---
The same error is occuring for batch_cholesky as well..
Could someone please explain how to fix this?
I believe you need to use matrix_diag instead of batch_matrix_diag due to this change.
When using jackson2.2.0 on android2.2(API8), I got this error:
Could not find class java.util.concurrent.ConcurrentNavigableMap, referenced from method com.fasterxml.jackson.databind.deser.BasicDeserializerFactory.<clinit>
I've tested my code on android2.3.3(API10) and android4.0.3(API15), it both works.
Does any one knows how to fix this? Or I have to use another jason parser instead.
This has already been reported on Jackson's issue tracker. A fix is due in 2.2.2 next week or so.