Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module.

Overview

Import Subtitles for Blender VSE

Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module.

Supported formats by pysubs2 -

  • SubStation Alpha
    • .ass - tested
    • .ssa - not tested

Time-Based Formats

  • SubRip
    • .str - tested
  • MPL2 Time-based format similar to MicroDVD
    • .mpl2 - not tested
  • TMP
    • .tmp - not tested
  • WebVTT
    • .vtt - tested.

Frame-based Formats

  • MicroDVD -.sub - not tested

UI

Input Section: UI

  • String input - takest the full file path to your subtitle file.
  • Sub Import button - runs the script that imports subtitles as sequences of type 'Text'.
    • sequences are placed on the two topmost channels in VSE.
    • only two line subtitles are supported
    • pressing the button again will compare the sequences and their text,start time, end time, and will apply the changes.

NOTE: Updating sequences(in cases where the sequence/text is on the first channel or the one/lower line subtitle) because blender does not allow two sequences to overlap in one channel and because I didn't spent time to make it account for that, changing the time might result in that line popping to the above channel.

Update section UI2

  • Takes the position, font size, and box margin settings and exposes them to the user.
    • Note: these are the selected sequence's settings you don't need to edit those there but I just exposed them in the panel.
  • Sub Update buttom - runs the update script. Updates position based on the single line seqnece's position, font size and box margin(mainly because the double line subtitles's position have to be updated as well)

All other changes like font color,box margin or box margin color can be applied via the Copy to Selected so I haven't implemented anything to deal with this.

Open-source offline translation library written in Python. Uses OpenNMT for translations

Open source neural machine translation in Python. Designed to be used either as a Python library or desktop application. Uses OpenNMT for translations and PyQt for GUI.

Argos Open Tech 1.6k Jan 01, 2023
A Multi-modal Model Chinese Spell Checker Released on ACL2021.

ReaLiSe ReaLiSe is a multi-modal Chinese spell checking model. This the office code for the paper Read, Listen, and See: Leveraging Multimodal Informa

DaDa 106 Dec 29, 2022
COVID-19 Chatbot with Rasa 2.0: open source conversational AI

COVID-19 chatbot implementation with Rasa open source 2.0, conversational AI framework.

Aazim Parwaz 1 Dec 23, 2022
QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries

Moment-DETR QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries Jie Lei, Tamara L. Berg, Mohit Bansal For dataset de

Jie Lei 雷杰 133 Dec 22, 2022
A complete NLP guideline for enthusiasts

NLP-NINJA A complete guide for Natural Language Processing in Python Table of Contents S.No. Topic Level Meaning 1 Tokenization 🤍 Beginner 2 Stemming

MAINAK CHAUDHURI 22 Dec 27, 2022
A Streamlit web app that generates Rick and Morty stories using GPT2.

Rick and Morty Story Generator This project uses a pre-trained GPT2 model, which was fine-tuned on Rick and Morty transcripts, to generate new stories

₸ornike 33 Oct 13, 2022
Installation, test and evaluation of Scribosermo speech-to-text engine

Scribosermo STT Setup Scribosermo is a LGPL licensed, open-source speech recognition engine to "Train fast Speech-to-Text networks in different langua

Florian Quirin 3 Jun 20, 2022
Code for PED: DETR For (Crowd) Pedestrian Detection

Code for PED: DETR For (Crowd) Pedestrian Detection

36 Sep 13, 2022
REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

What is MUSE? MUSE stands for Multilingual Universal Sentence Encoder - multilingual extension (16 languages) of Universal Sentence Encoder (USE). MUS

Dani El-Ayyass 47 Sep 05, 2022
Shared code for training sentence embeddings with Flax / JAX

flax-sentence-embeddings This repository will be used to share code for the Flax / JAX community event to train sentence embeddings on 1B+ training pa

Nils Reimers 23 Dec 30, 2022
KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정한 코드입니다.

KoBERTopic 모델 소개 KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정했습니다. 기존 BERTopic : https://github.com/MaartenGr/BERTopic/tree/05a6790b21009d

Won Joon Yoo 26 Jan 03, 2023
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

English | 中文 Features 🌍 Chinese supported mandarin and tested with multiple datasets: aidatatang_200zh, magicdata, aishell3, data_aishell, and etc. ?

Vega 25.6k Dec 31, 2022
This is the writeup of all the challenges from Advent-of-cyber-2019 of TryHackMe

Advent-of-cyber-2019-writeup This is the writeup of all the challenges from Advent-of-cyber-2019 of TryHackMe https://tryhackme.com/shivam007/badges/c

shivam danawale 5 Jul 17, 2022
Collection of scripts to pinpoint obfuscated code

Obfuscation Detection (v1.0) Author: Tim Blazytko Automatically detect control-flow flattening and other state machines Description: Scripts and binar

Tim Blazytko 230 Nov 26, 2022
SentAugment is a data augmentation technique for semi-supervised learning in NLP.

SentAugment SentAugment is a data augmentation technique for semi-supervised learning in NLP. It uses state-of-the-art sentence embeddings to structur

Meta Research 363 Dec 30, 2022
Help you discover excellent English projects and get rid of disturbing by other spoken language

GitHub English Top Charts 「Help you discover excellent English projects and get

GrowingGit 544 Jan 09, 2023
A Domain Specific Language (DSL) for building language patterns. These can be later compiled into spaCy patterns, pure regex, or any other format

RITA DSL This is a language, loosely based on language Apache UIMA RUTA, focused on writing manual language rules, which compiles into either spaCy co

Šarūnas Navickas 60 Sep 26, 2022
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

ERNIE Source code and dataset for "ERNIE: Enhanced Language Representation with Informative Entities" Reqirements: Pytorch=0.4.1 Python3 tqdm boto3 r

THUNLP 1.3k Dec 30, 2022
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).

For better performance, you can try NLPGNN, see NLPGNN for more details. BERT-NER Version 2 Use Google's BERT for named entity recognition (CoNLL-2003

Kaiyinzhou 1.2k Dec 26, 2022
Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.

Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.

Ubiquitous Knowledge Processing Lab 59 Dec 01, 2022