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Howto:Processing d-tpp using Python: Difference between revisions
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Howto:Processing d-tpp using Python (view source)
Revision as of 19:48, 28 November 2017
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== Idea == | == Idea == | ||
[[File:KSFO-28RILS.png|thumb|Screenshot showing the scraped, converted and transformed approach chart for KSFO 28R (aspect ratio doesn't matter for machine learning purposes, i.e. we can use random scaling/ratios here to come up with artificial training data).]] | |||
if processing actual PDFs to "retrieve" such navigational data procedurally is ever supposed to "fly", I think it would have to be done using OpenCV runnning in a background thread (actually a bunch of threads in a separate process), i.e. using machine learning - basically, feeding it a bunch of manually-annotated PDFs, segmenting each PDF into sub-areas (horizontal/vertical profile, frequencies, identifier etc) and running neural networks. | if processing actual PDFs to "retrieve" such navigational data procedurally is ever supposed to "fly", I think it would have to be done using OpenCV runnning in a background thread (actually a bunch of threads in a separate process), i.e. using machine learning - basically, feeding it a bunch of manually-annotated PDFs, segmenting each PDF into sub-areas (horizontal/vertical profile, frequencies, identifier etc) and running neural networks. | ||
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It is kind of an interesting problem and it would address a bunch of legal issues, too - just like downloading such data from the web works for a reason, but it would definitely be a rather complex piece of software I believe, and we would want to get people involved with machine learning and computer vision (OpenCV) - it is kinda a superset of doing OCR on approach charts, i.e. not just looking for a character set, but actual document structure and "iconography" for airports, navaids, route markers and so on. | It is kind of an interesting problem and it would address a bunch of legal issues, too - just like downloading such data from the web works for a reason, but it would definitely be a rather complex piece of software I believe, and we would want to get people involved with machine learning and computer vision (OpenCV) - it is kinda a superset of doing OCR on approach charts, i.e. not just looking for a character set, but actual document structure and "iconography" for airports, navaids, route markers and so on. | ||
== Motivation == | == Motivation == | ||
[[File:Chart-scraping.png|thumb|Screenshot showing scrapy scraping d-TPPs]] | [[File:Chart-scraping.png|thumb|Screenshot showing scrapy scraping d-TPPs]] | ||