updated

Author: dhchenx

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2022 The Python Packaging Authority
+Copyright (c) 2023 The Python Packaging Authority
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -25,7 +25,7 @@ Figure 1: Multimodal Computational Sequence
 
 ![GAN-based Multimodal Concept Generation](doc/images/gan-based-cross-modal-generation.jpg)
 
-Figure 2: GAN-based Multimodal Concpet Generation
+Figure 2: GAN-based Multimodal Concept Generation
 
 ## Modalities
 
@@ -88,7 +88,7 @@ Here are some examples of using our work in real life with codes and documents.
 - [Basic Computational Sequence](doc/simple_computational_seq_use.md)
 - [Core use of MMFLib](doc/multimodal_features_library.md)
 
-### 3. Multimodal knowledge bases
+### 3. Multimodal Knowledge Bases
 
 - [Multimodal Birds Feature Library](doc/example_bird_library.md)
 - [Multimodal Disease Coding Feature Library](doc/example_icd11_library.md)

doc/README.md

@@ -4,20 +4,33 @@ This section presents a summary of usage of the features used in the `MMKit-Feat
 
 To handle the extraction of various multimodal features such as text, image, speech, and video, different modules are utilized. Furthermore, the toolkit enables the quick and simple fusion and storage of the extracted features.
 
-## Features Extraction
+## Applications
 
-1. [Text Features Extraction](text_features_extraction.md)
-2. [Speech Features Extraction](speech_features_extraction.md)
-3. [Image Features Extractoin](image_features_extraction.md)
-4. [Video Features Extraction](video_features_extraction.md)
+Here are some examples of using our work in real life with codes and documents. 
 
-## Multimodal Features Library (MMFLib)
+### 1. Multimodal Features Extractors
 
-1. [Basic Computational Sequence](simple_computational_seq_use.md)
-2. [Core use of MMFLib](multimodal_features_library.md)
+- [Text Features Extraction](text_features_extraction.md)
+- [Speech Features Extraction](speech_features_extraction.md)
+- [Image Features Extractoin](image_features_extraction.md)
+- [Video Features Extraction](video_features_extraction.md)
+- [Transformer-based Features Extraction](../src/mmkfeatures/transformer/README.md)
 
-## MMFLib Aplications
+### 2. Multimodal Feature Library (MMFLib)
 
-1. [Multimodal Birds Features Library](example_bird_library.md)
-2. [ICD-11 Disease Coding Library](example_icd11_library.md)
+- [Basic Computational Sequence](simple_computational_seq_use.md)
+- [Core use of MMFLib](multimodal_features_library.md)
+
+### 3. Multimodal Knowledge Bases
+
+- [Multimodal Birds Feature Library](example_bird_library.md)
+- [Multimodal Disease Coding Feature Library](doc/example_icd11_library.md)
+- [Multimodal ROCO Feature Library](../examples/roco_lib/step1_create_lib_roco.py)
+
+### 4. Multimodal Indexing and Querying
+
+- [Brute Force Indexing](../examples/birds_features_lib/step3_use_index.py)
+- [Inverted Indexing](../examples/birds_features_lib/step3_use_index.py)
+- [Positional Indexing](examples/birds_features_lib/step3_use_index.py)
+- [Multimodal Indexing and querying](../examples/birds_features_lib/evaluate/)
 

examples/chain.png

@@ -1,6 +1,6 @@
 """A setuptools based setup module.
 
-MMKit-Features: A Python library to extract and fuse multimodal features for deep learning.
+A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation. 
 
 """
 
@@ -36,12 +36,12 @@
     # For a discussion on single-sourcing the version across setup.py and the
     # project code, see
     # https://packaging.python.org/en/latest/single_source_version.html
-    version='0.0.1a1',  # Required
+    version='0.0.1a2',  # Required
 
     # This is a one-line description or tagline of what your project does. This
     # corresponds to the "Summary" metadata field:
     # https://packaging.python.org/specifications/core-metadata/#summary
-    description='A Python library to extract, store and fuse multimodal features for deep learning',  # Optional
+    description='A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation. ',  # Optional
 
     # This is an optional longer description of your project that represents
     # the body of text which users will see when they visit PyPI.