OpenCV-Python Cheat Sheet: From Importing Images to Face Detection: https://heartbeat.fritz.ai/opencv-python-cheat-sheet-from-importing-images-to-face-detection-52919da36433
How to use custom folding icons in QScintilla?: https://stackoverflow.com/questions/55745636/how-to-use-custom-folding-icons-in-qscintilla
Stack Overflow
How to use custom folding icons in QScintilla?
Consider this snippet:
import sys
from PyQt5.Qsci import QsciScintilla
from PyQt5.Qt import *
if __name__ == '__main__':
app = QApplication(sys.argv)
view = QsciScintilla()
# http:/...
import sys
from PyQt5.Qsci import QsciScintilla
from PyQt5.Qt import *
if __name__ == '__main__':
app = QApplication(sys.argv)
view = QsciScintilla()
# http:/...
OpenCV: Merging fitted shapes: https://stackoverflow.com/questions/55655710/opencv-merging-fitted-shapes
Stack Overflow
OpenCV: Merging fitted shapes
If I'm using OpenCV (Python) and fit two shapes, like so:
a = cv2.fitEllipse(contours)
b = cv2.minAreaRect(contours)
Both a and b are represented as Box2D objects, which look something like:
cen...
a = cv2.fitEllipse(contours)
b = cv2.minAreaRect(contours)
Both a and b are represented as Box2D objects, which look something like:
cen...
My first genetic algorithm! Evolves to play a pong-like game: https://www.reddit.com/r/Python/comments/bfd87x/my_first_genetic_algorithm_evolves_to_play_a/
reddit
r/Python - My first genetic algorithm! Evolves to play a pong-like game
41 votes and 2 comments so far on Reddit
Using pyLDAvis with custom model: https://stackoverflow.com/questions/55663489/using-pyldavis-with-custom-model
Stack Overflow
Using pyLDAvis with custom model
I have a trained custom LDA model (Hebrew language) and I want to use pyLDAvis in order to visualize it.
I'm referring to the docs and the following resources:
https://pyldavis.readthedocs.io/en/...
I'm referring to the docs and the following resources:
https://pyldavis.readthedocs.io/en/...
pdf2image how to read pdfs with "enable all features" - windows: https://stackoverflow.com/questions/55754342/pdf2image-how-to-read-pdfs-with-enable-all-features-windows
Stack Overflow
pdf2image how to read pdfs with "enable all features" - windows
I have a pdf and i would like to read it in Python. When I open it on my machine using acrobat, I get below message and when I click on "enable all features", the file shows it's actual content.
...
...
Python Tutorial: How to Read-Write Excel Files, Web-Scrap Google and Create Interactive Maps in 20 lines of Code: https://www.reddit.com/r/Python/comments/bf9cgz/python_tutorial_how_to_readwrite_excel_files/
reddit
r/Python - Python Tutorial: How to Read-Write Excel Files, Web-Scrap Google and Create Interactive Maps in 20 lines of Code
24 votes and 9 comments so far on Reddit
pandas.factorize with custom array datatype: https://stackoverflow.com/questions/55758872/pandas-factorize-with-custom-array-datatype
Stack Overflow
pandas.factorize with custom array datatype
Let's start off with a random (reproducible) data array -
# Setup
In [11]: np.random.seed(0)
...: a = np.random.randint(0,9,(7,2))
...: a[2] = a[0]
...: a[4] = a[1]
...: a[6] = a[1...
# Setup
In [11]: np.random.seed(0)
...: a = np.random.randint(0,9,(7,2))
...: a[2] = a[0]
...: a[4] = a[1]
...: a[6] = a[1...
How should I modify the test data for SVM method to be able to use the `precomputed` kernel function without error?: https://stackoverflow.com/questions/55759533/how-should-i-modify-the-test-data-for-svm-method-to-be-able-to-use-the-precompu
Stack Overflow
How should I modify the test data for SVM method to be able to use the `precomputed` kernel function without error?
I am using sklearn.svm.SVR for a "regression task" which I want to use my "customized kernel method". Here is the dataset samples and the code:
index density speed label
0 1...
index density speed label
0 1...
Windows Desktop Notifications in 3 lines of Code | Python 3.6: https://www.reddit.com/r/Python/comments/bfmneb/windows_desktop_notifications_in_3_lines_of_code/
reddit
r/Python - Windows Desktop Notifications in 3 lines of Code | Python 3.6
30 votes and 13 comments so far on Reddit
Using OpenCV's Image Hashing Module from Python: https://stackoverflow.com/questions/55685803/using-opencvs-image-hashing-module-from-python
Stack Overflow
Using OpenCV's Image Hashing Module from Python
I want to use OpenCV's perceptual hashing functions from Python.
This isn't working.
import cv2
a_1 = cv2.imread('a.jpg')
cv2.img_hash_BlockMeanHash.compute(a_1)
I get:
TypeError: descriptor '
This isn't working.
import cv2
a_1 = cv2.imread('a.jpg')
cv2.img_hash_BlockMeanHash.compute(a_1)
I get:
TypeError: descriptor '
Last 3 years I've developed/maintained this open-source distributed real-time group-chat backend in Python: https://www.reddit.com/r/Python/comments/bfoegh/last_3_years_ive_developedmaintained_this/
reddit
Last 3 years I've developed/maintained this open-source...
Github: [https://github.com/thenetcircle/dino/](https://github.com/thenetcircle/dino/) *Socketio front-end connects to this Flask...
Capturing JSON data from intermediate events using Selenium: https://stackoverflow.com/questions/55763869/capturing-json-data-from-intermediate-events-using-selenium
Stack Overflow
Capturing JSON data from intermediate events using Selenium
Below I have setup a script which simply executes a search on a website. The goal is to capture JSON data utilizing Selenium from an event that is fired from an intermediate script, namely the POST
Filter Pandas Dataframe in a Click using QGrid Library: https://www.reddit.com/r/Python/comments/bfw5r2/filter_pandas_dataframe_in_a_click_using_qgrid/
reddit
r/Python - Filter Pandas Dataframe in a Click using QGrid Library
58 votes and 7 comments so far on Reddit
FactoryBoy - nested factories / max depth?: https://stackoverflow.com/questions/55748322/factoryboy-nested-factories-max-depth
Stack Overflow
FactoryBoy - nested factories / max depth?
I am writing tests for a large Django application, as part of this process I am gradually creating factories for all models of the different apps within the Django project.
However, I've run into ...
However, I've run into ...
Calculate TD-IDF for a single word in Textacy: https://stackoverflow.com/questions/55764766/calculate-td-idf-for-a-single-word-in-textacy
Stack Overflow
Calculate TD-IDF for a single word in Textacy
I'm trying to use Textacy to calculate the TF-IDF score for a single word across the standard corpus, but am a bit unclear about the result I am receiving.
I was expecting a single float which
I was expecting a single float which