ezMM: Mini-Suite for Easy Multimodal Data Processing

This lightweight Python package aims to streamline and simplify the processing of multimodal data. The core philosophy of ezMM is to treat any data (whether strings, images, audios, tables, etc.) as a multimodal sequence.

Usage

Core is the MultimodalSequence class. Here is an example:

from ezmm import MultimodalSequence, Image

img1 = Image("in/roses.jpg")
img2 = Image("in/garden.jpg")

seq = MultimodalSequence("The image", img1, "shows two beautiful roses while",
                         img2, "shows a nice garden with many flowers.")

seq comprehensively aggregates the different modalities into one handy object. It also offers some useful features:

MultimodalSequence is stringifyable

print(seq)

will return

The image <image:1> shows two beautiful roses while <image:2> shows a nice garden with many flowers.

That is, non-string items in the MultimodalSequence get replaced by their unique reference when turned into strings.

MultimodalSequence understands references

Conversely, you can do

seq2 = MultimodalSequence("The image <image:1> shows two beautiful roses while <image:2> shows a nice garden with many flowers.")

which obeys seq == seq2. That is, MultimodalSequence resolves references within the input string and loads the corresponding items under the hood.

Access MultimodalSequence like a list

You can apply list comprehension to seq. For example, seq[1] == img.

Easy modality checks

You can check for specific modalities like images quickly, e.g., with seq.has_images().

Get the text and manipulate the sequence

seq.text returns all text parts (without items) as a single string. You can manipulate a MultimodalSequence like a list via append(), extend(), insert(), remove(), pop(), seq[i] = ..., del seq[i], + and +=. Nested sequences are always flattened automatically, so a MultimodalSequence never contains another one.

Item Types

All items can be created from a file path or from binary data, e.g., Audio(binary_data=data, mime_type="audio/mpeg"). Files larger than 100 MB are rejected with a FileTooLargeError; change the limit with set_max_file_size(n_bytes) (or None for no limit) or the EZMM_MAX_FILE_SIZE environment variable.

Item Registry

ezMM keeps track of all items in a registry (an SQLite DB plus media files) located at temp/ or at the path specified by the EZMM environment variable (or set_ezmm_path()).

• Deduplication: Identical files (same kind and byte-identical content, incl. embedded metadata) collapse to the same item and reference. Each item keeps all its source URLs (item.source_urls). To find an item by URL, use item_registry.get_by_source_url(url).
• Cleanup: python -m ezmm dedup [--dry-run] removes duplicates from existing registries. References to removed duplicates keep resolving to the remaining item.
• Migration: Registries created with ezMM < 0.6 are migrated automatically on first use (a backup item_registry.v1.bak.db is kept). Older ezMM versions cannot read migrated registries.

Web UI

Install with pip install ezmm[ui] and run

python -m ezmm ui [--path REGISTRY_PATH] [--port 7878]

to browse all items of the registry (and sequences rendered via seq.render()) at http://localhost:7878.

Feature Overview

• ✅ Image support
• ✅ Video support
• ✅ Audio support
• ✅ Support for any other file type
• ✅ Saving and organizing media in a database along with their origin URLs
• ✅ Rendering MultimodalSequence and browsing the registry in a web UI
• ✅ Duplication management: Identify and re-use duplicates