I am beginner in understanding Allennlp framework.
I tried the code given in medium post https://medium.com/analytics-vidhya/fine-tuning-bert-with-allennlp-7459119b736c.
But, got an ImportError: cannot import name 'SnliReader' from 'allennlp.data.dataset_readers'
Does any one know why this error is showing?
It looks like that blog post is based on an older version of allennlp. For version 2.x, the SnliReader can be found in the allennlp-models package; specifically at allennlp_models.pair_classification.dataset_readers.snli.
import pyLDAvis.gensim
# Visualize the topics
pyLDAvis.enable_notebook()
vis = pyLDAvis.gensim.prepare(lda_model, corpus, id2word)
vis
The above code displayed the visualization of LDA model in google colab but then after reopening the notebook it stopped displaying.
I even tried
pyLDAvis.display(vis, template_type='notebook')
still not working
When I set
pyLDAvis.enable_notebook(local=True)
it does display the result but not the labels.. Any help would be appreciated!!
when you install LDAvis make sure to specify the version to be 2.1.2 with:
!pip install pyLDAvis==2.1.2
the new versions don't seem to play well with colab.
they changed the package name. use it like:
import pyLDAvis.gensim_models
vis = pyLDAvis.gensim_models.prepare(lda_model, corpus, id2word)
vis
I am trying to improve accuracy of passport MRZ reading with tesseract ocr and passportEye I have found few github repositories containing "*.traineddata", it says to move it into tesseract ocr tessdata folder, I did that. No where in readme of these repos says how to use it, I believe it is something trivial, but I am very new to this tesseract thing.
How do I use it with passportEye in python, I am completely lost here. searched a lot. Here is the current code.
import os
from passporteye import read_mrz
pr_path = os.getcwd()
file_path = os.path.join(pr_path,'my_app', 'data')
mrz = read_mrz(file_path + '/test1.jpg')
print(mrz)
This is the .traineddata file I want to test for more accuracy : https://github.com/DoubangoTelecom/tesseractMRZ/blob/master/tessdata_best/mrz.traineddata
I do not want to use bulky openCV. Please help
From looking into the source code I would say you can`t, without changing the codebase of PassportEye:
Normally you would pass the language you are using via: -l paramerter to tesseract - in your case:
-l mrz
But the PassportEye implementation does not give you that option:
https://github.com/konstantint/PassportEye/blob/929c186c4dfa80a1ac975b5f2b95002ca12889d0/passporteye/util/ocr.py#L48
they pass lang=None, you would need to change that part to lang=mrz
pytesseract.run_tesseract(input_file_name,
output_file_name_base,
'txt',
lang='mrz',
config=config)
I have seen a few of the talks by iPython developers about how to convert an ipython notebook to a blog post, a pdf, or even to an entire book(~min 43). The PDF-to-X converter interprets the iPython cells which are written in markdown or code and spits out a newly formatted document in one step.
My problem is that I would like to generate a large document where many of the figures and sections are programmatically generated - something like this. For this to work in iPython using the methods above, I would need to be able to write a function that would write other iPython-Code-Blocks. Does this capability exist?
#some pseudocode to give an idea
for variable in list:
image = make_image(variable)
write_iPython_Markdown_Cell(variable)
write_iPython_Image_cell(image)
I think this might be useful so I am wondering if:
generating iPython Cells through iPython is possible
if there is a reason that this is a bad idea and I should stick to a 'classic' solution like a templating library (Jinja).
thanks,
zach cp
EDIT:
As per Thomas' suggestion I posted on the ipython mailing list and got some feedback on the feasibility of this idea. In short - there are some technical difficulties that make this idea less than ideal for the original idea. For a repetitive report where you would like to generate markdown -cells and corresponding images/tables it is ore complicated to work through the ipython kernel/browser than to generate a report directly with a templating system like Jinja.
There's a Notebook gist by Fernando Perez here that demonstrates how to programmatically create new cells. Note that you can also pass metadata in, so if you're generating a report and want to turn the notebook into a slideshow, you can easily indicate whether the cell should be a slide, sub-slide, fragment, etc.
You can add any kind of cell, so what you want is straightforward now (though it probably wasn't when the question was asked!). E.g., something like this (untested code) should work:
from IPython.nbformat import current as nbf
nb = nbf.new_notebook()
cells = []
for var in my_list:
# Assume make_image() saves an image to file and returns the filename
image_file = make_image(var)
text = "Variable: %s\n" % (var, image_file)
cell = nbf.new_text_cell('markdown', text)
cells.append(cell)
nb['worksheets'].append(nbf.new_worksheet(cells=cells))
with open('my_notebook.ipynb', 'w') as f:
nbf.write(nb, f, 'ipynb')
I won't judge whether it's a good idea, but if you call get_ipython().set_next_input(s) in the notebook, it will create a new cell with the string s. This is what IPython uses internally for its %load and %recall commands.
Note that the accepted answer by Tal is a little deprecated and getting more deprecated: in ipython v3 you can (/should) import nbformat directly, and after that you need to specify which version of notebook you want to create.
So,
from IPython.nbformat import current as nbf
becomes
from nbformat import current as nbf
becomes
from nbformat import v4 as nbf
However, in this final version, the compatibility breaks because the write method is in the parent module nbformat, where all of the other methods used by Fernando Perez are in the v4 module, although some of them are under different names (e.g. new_text_cell('markdown', source) becomes new_markdown_cell(source)).
Here is an example of the v3 way of doing things: see generate_examples.py for the code and plotstyles.ipynb for the output. IPython 4 is, at time of writing, so new that using the web interface and clicking 'new notebook' still produces a v3 notebook.
Below is the code of the function which will load contents of a file and insert it into the next cell of the notebook:
from IPython.display import display_javascript
def make_cell(s):
text = s.replace('\n','\\n').replace("\"", "\\\"").replace("'", "\\'")
text2 = """var t_cell = IPython.notebook.get_selected_cell()
t_cell.set_text('{}');
var t_index = IPython.notebook.get_cells().indexOf(t_cell);
IPython.notebook.to_code(t_index);
IPython.notebook.get_cell(t_index).render();""".format(text)
display_javascript(text2, raw=True)
def insert_file(filename):
with open(filename, 'r') as content_file:
content = content_file.read()
make_cell(content)
See details in my blog.
Using the magics can be another solution. e.g.
get_ipython().run_cell_magic(u'HTML', u'', u'<font color=red>heffffo</font>')
Now that you can programatically generate HTML in a cell, you can format in any ways as you wish. Images are of course supported. If you want to repetitively generate output to multiple cells, just do multiple of the above with the string to be a placeholder.
p.s. I once had this need and reached this thread. I wanted to render a table (not the ascii output of lists and tuples) at that time. Later I found pandas.DataFrame is amazingly suited for my job. It generate HTML formatted tables automatically.
from IPython.display import display, Javascript
def add_cell(text, type='code', direct='above'):
text = text.replace('\n','\\n').replace("\"", "\\\"").replace("'", "\\'")
display(Javascript('''
var cell = IPython.notebook.insert_cell_{}("{}")
cell.set_text("{}")
'''.format(direct, type, text)));
for i in range(3):
add_cell(f'# heading{i}', 'markdown')
add_cell(f'code {i}')
codes above will add cells as follows：
#xingpei Pang solution is perfect, especially if you want to create customized code for each dataset having several groups for instance. However, the main issue with the javascript code is that if you run this code in a trusted notebook, it runs every time the notebook is loaded.
The solution I came up with is to clear the cell output after execution. The javascript code is stored in the output cell, so by clearing the output the code is gone and nothing is left to be executed in the trusted mode again. By using the code from here, the solution is the code below.
from IPython.display import display, Javascript, clear_output
def add_cell(text, type='code', direct='above'):
text = text.replace('\n','\\n').replace("\"", "\\\"").replace("'", "\\'")
display(Javascript('''
var cell = IPython.notebook.insert_cell_{}("{}")
cell.set_text("{}")
'''.format(direct, type, text)));
# create cells
for i in range(3):
add_cell(f'# heading{i}', 'markdown')
add_cell(f'code {i}')
# clean the javascript code from the current cell output
for i in range(10):
clear_output(wait=True)
Note that the clear_output() needs the be run several times to make sure the output is cleared.
As a slight update incorporating Tal's answer above, updates from Chris Barnes and a little digging in the nbformat docs, the following worked for me:
import nbformat
from nbformat import v4 as nbf
nb = nbf.new_notebook()
cells = [
nbf.new_code_cell(f"""print("Doing the thing: {i}")""")
for i in range(10)
]
nb.cells.extend(cells)
with open('generated_notebook.ipynb', 'w') as f:
nbformat.write(nb, f)
You can then start up the new artificial notebook and cut-n-paste cells where ever you need them.
This is unlikely to be the best way to do anything, but it's useful as a dirty hack. 🐱💻
This worked with the following versions:
Package Version
-------------------- ----------
ipykernel 5.3.0
ipython 7.15.0
jupyter 1.0.0
jupyter-client 6.1.3
jupyter-console 6.1.0
jupyter-core 4.6.3
nbconvert 5.6.1
nbformat 5.0.7
notebook 6.0.3
...
Using the command line goto the directory where the myfile.py file is located
and execute (Example):
C:\MyDir\pip install p2j
Then execute:
C:\MyDir\p2j myfile.py -t myfile.ipynb
Run in the Jupyter notebook:
!pip install p2j
Then, using the command line, go the corresponding directory where the file is located and execute:
python p2j <myfile.py> -t <myfile.ipynb>
I've been trying to make a library in Dart and import it in my project. Though for some reason it won't do it.
Here's how it looks:
It says it can't find the library, though the path is correct. I also tried a bunch of other paths:
SmartCanvas.dart
SmartCanvas/SmartCanvas.dart
SmartCanvas
SmartCanvas/SmartCanvas
./SmartCanvas/SmartCanvas.dart
../SmartCanvas/SmartCanvas.dart
./SmartCanvas.dart
../SmartCanvas.dart
./SmartCanvas
../SmartCanvas
Note: The project I'm trying to import this library into is located somewhere totally different on my harddrave (my dropbox folder.)
Anyone knows what I should use as path, or how I can import the library properly?
Thanks!
#import expects a full path or correct relative path to a .dart file that has the #library line.
Here is an example from working code:
https://github.com/johnmccutchan/DartVectorMath/blob/master/test/console_test_harness.dart
At the top you see #import('../lib/vector_math_console.dart');
which is located:
https://github.com/johnmccutchan/DartVectorMath/blob/master/lib/vector_math_console.dart
Chopping off the github url prefix, we are left with:
test/console_test_harness.dart
lib/vector_math_console.dart
The import line uses the correct relative path from test/ into ../lib/ to find vector_math_console.dart (the library).
HTH,
John
Try this for windows
#import('/c:/users/pablo/pablo\'s documents/projects/smartcanvas/smartcanvas.dart');
To import local libraries in dart, I'd recommend using the the path dependency in the pubspec.yaml. This is a much cleaner approach then embedding absolute paths in the dart code.
Read about it here: https://www.dartlang.org/tools/pub/dependencies.html#path-packages