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- Create applications using BD services (50 mins)
- Conversion Example (15 mins20mins): To convert a collection of images/ps/odp/audio/video files to png/pdf/ppt/mp3. This will demonstrates that if you have a directory with files in old file formats, just use BD to get it all converted without requiring to install any software. (Emphasizes on conversion)
- Make sure imagemagick and ffmpeg converters are running before the demo
- Obtain the BD token/key - ask participant to refer to previous bdfiddle step or use the python library
- Ask the participant to check for the available output formats for specific input formats
- Ask the participant to use python library to use BD service
- TODO:
- Inna Zharnitsky Provide a Python script for this and let participants use python library to use the BD service
- Smruti PadhyProvide a Step-by-step instructions with screenshot to do this
- (Optional) Provide R script for this problem.
Extraction/Indexing/Retrieval Example (20 mins):
Given a collection of images with text embedded in it, and audio files, search images/audio files based on its content. (
Emphasizes on extraction on unstructured data, indexing and content-based retrieval)
- Make sure OCR, face, and speech2text extractors are running before starting the demo
- One can upload images from local directory to obtain images or use external web service.
- Let the participant use the python library of BD to obtain key/token and submit extraction request to BD-API gateway
- Once technical metadata is obtained from BD, write the tags and technical metadata to a local file /python dictionary.
- Search the file based on the tags/technical metadata by linear search on the index file
- TODO
- Make sure the metadata to be posted as json-ld for the extractors
- OCR
- Face
- Eyes
- Closeup
- Smruti Padhy speech2text
- Create an example dataset with images and audios to which we can make interesting query
- (Optional) Provide a code snippet of using externel service to obtain images. e.g. Flicker API.
- This will only be provided as an example and will not be used for the rest of the code.
- Provide the link to the current BD REST API and create a document/wiki page showing step-by-step screenshots of obtaining a key/token using python library.
- Marcus SlavenasWrite a Python script that will serve as a stub for the BD client
- The participant will fill in the code to use python library to call BD REST API and submit their requests.
- The python script should write the tags and technical metadata to a local file. (Probably can use python library's index method that writes it as feature vectors.)
- Marcus SlavenasWrite a Python script to make interesting search/query to the index file. Again probably use the python library's find method or just read the local file.
- (Optional) provide R script for this problem
- Make sure the metadata to be posted as json-ld for the extractors
- Conversion & Extraction Example (15 10 min): Given an image file, convert it to a different format and obtains the face detection and OCR.
- TODO
- Write a Python script that does the conversion and then sends the converted file to the BD service.
- Create a step-by-step instructions document with screenshots.
- (Optional) Provide a R script for this problem
- TODO
- (Optional) Combination of Conversion & Extraction Example: Obtaining Ameriflux data and converting into *.clim format (similar to csv format but tab separated) for SNIPET model. Calculate average air temperature and its standard deviation. (This will emphasize both conversion and analysis)
- Conversion Example (15 mins20mins): To convert a collection of images/ps/odp/audio/video files to png/pdf/ppt/mp3. This will demonstrates that if you have a directory with files in old file formats, just use BD to get it all converted without requiring to install any software. (Emphasizes on conversion)
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