Simple overview of use/purpose.
An in-depth paragraph about your project and overview of use.
Wan-Chun Liao NanaseL
levidyrek
/ django_orm_optimization_cheat_sheet.py
Last active
February 14, 2025 17:55
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| """ | |
| Django ORM Optimization Tips | |
| Caveats: | |
| * Only use optimizations that obfuscate the code if you need to. | |
| * Not all of these tips are hard and fast rules. | |
| * Use your judgement to determine what improvements are appropriate for your code. | |
| """ | |
| # --------------------------------------------------------------------------- |
Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs
sloria
/ bobp-python.md
Last active
April 27, 2025 07:06
A "Best of the Best Practices" (BOBP) guide to developing in Python.
Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000