Brandon Hurr bhive01
bhive01
/ functionalize_attempt.R
Created
March 4, 2018 21:38
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| library(tidyverse) | |
| project_two <- readr::read_csv( | |
| 'ID, GROUP, value1, value2 | |
| 1 , 1, 1, 1 | |
| 1 , 1, 1, 2 | |
| 2 , 1, 2, 1 | |
| 2 , 1, 2, 2 | |
| 1 , 2, 3, 1 | |
| 1 , 2, 3, 2 |
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| Lab2All<-function(data=Lab, L="L", a="a", b="b", name.ext="", deg.obs=2, illum="C"){ | |
| #Setting up variables in dataframe | |
| data[[paste("C", name.ext, sep="")]]<-NA | |
| data[[paste("H", name.ext, sep="")]]<-NA | |
| data[[paste("X", name.ext, sep="")]]<-NA | |
| data[[paste("Y", name.ext, sep="")]]<-NA | |
| data[[paste("Z", name.ext, sep="")]]<-NA | |
| data[[paste("R", name.ext, sep="")]]<-NA | |
| data[[paste("G", name.ext, sep="")]]<-NA |
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| RGB2All<-function (data=RGB, R="R", G="G", B="B", name.ext="", deg.obs=2, illum="C"){ | |
| #Setting up variables in dataframe | |
| data[[paste("X", name.ext, sep="")]]<-NA | |
| data[[paste("Y", name.ext, sep="")]]<-NA | |
| data[[paste("Z", name.ext, sep="")]]<-NA | |
| data[[paste("L", name.ext, sep="")]]<-NA | |
| data[[paste("a", name.ext, sep="")]]<-NA | |
| data[[paste("b", name.ext, sep="")]]<-NA |
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| Building Opencv to add custom format support: | |
| ############################################### | |
| Prerequisites: | |
| -------------- | |
| opencv source - Download the required opencv version for Linux with the | |
| following link. (http://opencv.org/downloads.html) | |
| Dependencies : |
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| import math | |
| import numpy as np | |
| import cv2 | |
| cam = cv2.VideoCapture(0) | |
| cam.set(cv2.CAP_PROP_FRAME_WIDTH, 1280) | |
| cam.set(cv2.CAP_PROP_FRAME_HEIGHT, 720) | |
| cam.set(cv2.CAP_PROP_CONVERT_RGB, False) # turn off RGB conversion | |
| # cam.set(cv2.CAP_PROP_FOURCC('Y', '1', '6', '')) |
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| import math | |
| import numpy as np | |
| import cv2 | |
| cam = cv2.VideoCapture(0) | |
| cam.set(cv2.CAP_PROP_FRAME_WIDTH, 1280) | |
| cam.set(cv2.CAP_PROP_FRAME_HEIGHT, 720) | |
| cam.set(cv2.CAP_PROP_CONVERT_RGB, False) # turn off RGB conversion | |
| # cam.set(cv2.CAP_PROP_FOURCC('Y', '1', '6', '')) |
bhive01
/ see3cam_good.py
Last active
October 11, 2024 14:32
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| # TESTING HARDWARE | |
| # see3CAM_CU40 | |
| # raspberry Pi 3 bf8 | |
| # Raspbian Stretch 13-03-2018 | |
| # Python 3.5.3 | |
| # OpenCV 3.4.1 | |
| # load required libraries | |
| import math | |
| import numpy as np |
bhive01
/ see3cam_good_np_slicing.py
Created
April 16, 2018 02:49
CU40 with Numpy Slicing (efficient for video on Raspberry Pi)
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| # TESTING HARDWARE | |
| # see3CAM_CU40 | |
| # raspberry Pi 3 bf8 | |
| # Raspbian Stretch 13-03-2018 | |
| # Python 3.5.3 | |
| # OpenCV 3.4.1 | |
| # load required libraries | |
| import math | |
| import numpy as np |
bhive01
/ SuzanmapPlots.Rmd
Created
April 18, 2018 14:44
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| --- | |
| title: "Untitled" | |
| author: "Brandon Hurr" | |
| date: "4/18/2018" | |
| output: | |
| beamer_presentation: | |
| latex_engine: xelatex | |
| --- | |
| ```{r setup, include=FALSE} |
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| library(openxlsx) | |
| library(readxl) | |
| library(Hmisc) | |
| library(tidyverse) | |
| #write out the iris dataset | |
| # write.xlsx(iris, "iris.xlsx") just to show you how | |
| # read in a dataset from excel | |
| iris2 <- read_excel("iris.xlsx") # this assumes it's in R's working directory (the one it boots up with) |