Added notebook for working with PPM images #374
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
This pull request updates the
README.md
file to include a new tutorial, modifies the automation script to handle multiple file encodings, and updates the corresponding CSV data for the new tutorial. Below are the key changes grouped by theme:Automation Script Enhancements:
read_lines_from_file
function inautomation/autogenerate_notebooks_table.py
to try multiple encodings (utf-8
,latin-1
,cp1252
) when reading files, and fall back toerrors='replace'
if all encodings fail. This improves the script's robustness when handling files with unknown or mixed encodings.save_lines_to_file
function writes files usingutf-8
encoding for consistency.Data Synchronization:
automation/notebooks-table-data.csv
. This entry includes metadata such as the tutorial's title, associated blog post, and GitHub repository link.Autodistill PPM support
Related Issue: #339
Type of change
Please delete options that are not relevant.
Docs
Added a new tutorial titled "Working with PPM Image Format in Autodistill" to the
README.md
file, increasing the total number of tutorials from 21 to 22. The tutorial includes links to Colab, Kaggle, a blog post, and the associated GitHub repository. [1] [2]