hoku | repository holds research toward analysis of lost-in-space | Machine Learning library
kandi X-RAY | hoku Summary
kandi X-RAY | hoku Summary
Ancient mariners could look up the night sky, point out what stars they were looking at, and navigate across the globe with precision. Star identification algorithm refers to a computational approach to pointing out which stars are in the sky. Given an image of the sky, star identification is matching the bright spots in an image, to stars in an astronomical catalog. The device that performs these computations is the star tracker, much like the navigators on the ship. Lost-in-space refers to an additional constraint on the problem: the absence of knowing where we took the picture and how we pointed the camera. This repository holds research toward the analysis of various lost-in-space star identification procedures for spacecraft. This includes a study of feature uniqueness, permutation order, candidate reduction, and identification under the introduction of various noise. The process of identifying blobs in an image, constructing the image coordinate system, and efficiently querying static databases is not addressed here, but there does exist some rudimentary programs to execute the attitude determination process end-to-end.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of hoku
hoku Key Features
hoku Examples and Code Snippets
Community Discussions
Trending Discussions on hoku
QUESTION
I am trying to do two things to my data. The data looks like:
...ANSWER
Answered 2020-May-06 at 19:19I'm not 100% sure what you mean with the first part of your question. Assuming you want to extract all words after the word earnings
and before $
, this should do what you want. It uses a 'positive lookahead' and allows for any number of words until it finds the first dollar sign (hence the *?
).
Rather than unnest
ing, I loop over the extractedWords
column using purrr::map_chr
, which returns a character vector, which makes further unnesting unneccessary.
QUESTION
I have some text data and I want to try and extract the numbers and text based on a condition. That is, extract the data containing all of the dollar $
values which are to the left and right of the Word "to" and "and".
Such that:
...ANSWER
Answered 2020-May-05 at 18:15If we need to extract the 'to/and' along with the dollar amount, one option is str_extract_all
from stringr
where we specify the pattern
to match as $
followed by one or more digits including the .
, followed by zero or more spaces (\\s*
), then either the 'to' or 'and', followed by zero or more spaces and the dollar digits
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install hoku
python3 (with numpy, matplotlib, opencv). Used for the data analysis and visualization.
CMake (2.8.10) or above. Used to manage and build the C++ code here.
git or some Git client. Used to clone this repository, and to grab GoogleTest for testing.
C++ build tools (make 4.1, gcc 5.4, g++ 5.4).
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page