CLAMS App Directory
How to use CLAMS apps
- Want to know how to use CLAMS apps? Check out CLAMS App user manual.
- Want a human friendly views of MMIF JSON files? Visit MMIF visualizer repository.
App Directory
doctr-wrapper
CLAMS app wraps the docTR, End-to-End OCR model, available at https://pypi.org/project/python-doctr . The model is capable of detecting text regions in the input image and recognizing text in the regions. The text-localized regions are organized hierarchically by the model into “pages” > “blocks” > “lines” > “words”, and this CLAMS app translates them into TextDocument, Paragraphs, Sentence, and Token annotations to represent recognized text contents, then aligns them to BoundingBox annotations that represent the detected geometries. This hierarchical structure is also represented in the TextDocument annotation output as two newlines (\n\n) between “paragraphs”, one newline (\n) between the “lines”, and one space (“ “) between the “words”. For the text recognition, the model is internally configured to use the “parseq” recognition model, and only works with English text at the moment.
simple-timepoints-stitcher
Stitches a sequence of TimePoint annotations into a sequence of TimeFrame annotations, performing simple smoothing of short peaks of positive labels.
swt-detection
Detects scenes with text, like slates, chyrons and credits.
pyscenedetect-wrapper
whisper-wrapper
A CLAMS wrapper for Whisper-based ASR software originally developed by OpenAI.
easyocr-wrapper
Using EasyOCR to extract text from timeframes
dbpedia-spotlight-wrapper
Apply named entity linking to all text documents in a MMIF file.
slatedetection
This tool detects slates.
fewshotclassifier
This tool uses a vision model to classify video segments. Currenly supports “chyron” frame type.
barsdetection
This tool detects SMPTE color bars.
east-textdetection
OpenCV-based text localization app that used EAST text detection model. Please visit the source code repository for full documentation.
parseqocr-wrapper
This tool applies Parseq OCR to a video or image and generates text boxes and OCR results.
tesseractocr-wrapper
This tool applies Tesseract OCR to a video or image and generates text boxes and OCR results.
chyron-detection
This tool detects chyrons, generates time segments.
gentle-forced-aligner-wrapper
This CLAMS app aligns transcript and audio track using Gentle. Gentle is a robust yet lenient forced aligner built on Kaldi.This app only works when Gentle is already installed locally.Unfortunately, Gentle is not distributed as a Python package distribution.To get Gentle installation instruction, see https://lowerquality.com/gentle/ Make sure install Gentle from the git commit specified in analyzer_version in this metadata.
tonedetection
Detects spans of monotonic audio within an audio file
spacy-wrapper
Apply spaCy NLP to all text documents in a MMIF file.
brandeis-acs-wrapper
Brandeis Acoustic Classification & Segmentation (ACS) is a audio segmentation tool developed at Brandeis Lab for Linguistics and Computation. The original software can be found at https://github.com/brandeis-llc/acoustic-classification-segmentation .
inaspeechsegmenter-wrapper
inaSpeechSegmenter is a CNN-based audio segmentation toolkit. The original software can be found at https://github.com/ina-foss/inaSpeechSegmenter .
aapb-pua-kaldi-wrapper
A CLAMS wrapper for Kaldi-based ASR software originally developed by PopUpArchive and hipstas, and later updated by Kyeongmin Rim at Brandeis University. Wrapped software can be found at https://github.com/brandeis-llc/aapb-pua-kaldi-docker .