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ENV["JULIA_ERROR_COLOR"] = :magenta | |
ENV["JULIA_WARN_COLOR"] = :yellow | |
ENV["JULIA_INFO_COLOR"] = :cyan | |
ENV["JULIA_STACKFRAME_LINEINFO_COLOR"] = :cyan | |
ENV["JULIA_STACKFRAME_FUNCTION_COLOR"] = :yellow | |
ENV["JULIA_EDITOR"] = "subl" | |
ENV["COLUMNS"] = 1000 |
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#!/bin/bash | |
# Extract frames from the videos of the RECOLA data set. The images are then cropped to squares and resized to 50%. | |
# The script requires ffmpef and imagemagick installed. | |
for file in train_*.mp4 | |
do | |
echo $file | |
DIR="frames_${file%.*}" | |
mkdir $DIR |
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timeStamp | participantId | receiverId | rssi | |
---|---|---|---|---|
2018-03-27T17:00:47.04 | 6723 | 001bc50940820034 | 140 | |
2018-03-27T17:01:51.96 | 3829 | 001bc5094082003b | 144 | |
2018-03-27T17:01:51.96 | 3829 | 001bc5094082003f | 153 | |
2018-03-27T17:01:57.806 | 3829 | 001bc5094082003b | 143 | |
2018-03-27T17:01:57.806 | 3829 | 001bc5094082003f | 153 | |
2018-03-27T17:02:44.478 | 6723 | 001bc50940820034 | 130 | |
2018-03-27T17:02:52.621 | 3829 | 001bc5094082003b | 155 | |
2018-03-27T17:02:52.621 | 3829 | 001bc5094082003c | 143 | |
2018-03-27T17:03:49.827 | 3829 | 001bc5094082003b | 152 |
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clear; close all; clc; | |
c = get(gca,'colororder'); | |
close; | |
for i = 1:size(c,1) | |
string = ['\definecolor{mycolor', num2str(i), '}{rgb}{',... | |
num2str(c(i,1),'%.4f'), ',', num2str(c(i,2),'%.4f'), ',', num2str(c(i,2),'%.4f'), '}']; | |
disp(string) | |
end |
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"HITId","HITTypeId","Title","Description","Keywords","Reward","CreationTime","MaxAssignments","RequesterAnnotation","AssignmentDurationInSeconds","AutoApprovalDelayInSeconds","Expiration","NumberOfSimilarHITs","LifetimeInSeconds","AssignmentId","WorkerId","AssignmentStatus","AcceptTime","SubmitTime","AutoApprovalTime","ApprovalTime","RejectionTime","RequesterFeedback","WorkTimeInSeconds","LifetimeApprovalRate","Last30DaysApprovalRate","Last7DaysApprovalRate","Input.ref_video_url","Input.a_video_url","Input.b_video_url","Input.ref_start","Input.ref_end","Input.a_start","Input.a_end","Input.b_start","Input.b_end","Answer.choice","Approve","Reject" | |
"37M4O367VIHEVXMPBF7RWV9Z67V5MD","36NY760EF6AYOI4600Z6OYSCAIPB36","Choose the image most similar in color intensity to the reference image","Choose the image most similar in color intensity to the reference image","color, comparison, triplet","$0.01","Fri Jul 27 15:36:29 PDT 2018","1","BatchId:201861;OriginalHitTemplateId:920937242;","300","259200","Fri Aug 03 15:36:2 |
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function alpha=kriAlpha(data,scale) | |
% alpha=kriAlpha(data,scale) | |
% calculates Krippendorff's Alpha as a measure of inter-rater agreement | |
% data: rate matrix, each row is a rater or coder, each column is a case | |
% scale: level of measurement, supported are 'nominal', 'ordinal', 'interval' | |
% missing values have to be coded as NaN or inf | |
% For details about Krippendorff's Alpha see: | |
% http://en.wikipedia.org/wiki/Krippendorff%27s_Alpha | |
% Hayes, Andrew F. & Krippendorff, Klaus (2007). Answering the call for a |
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function ∇tSTE(X::Array{Float64,2}, | |
no_objects::Int64, | |
no_dims::Int64, | |
no_triplets::Int64, | |
triplets::Array{Int64,2}, | |
λ::Float64, | |
α::Float64) | |
P::Float64 = 0.0 | |
C::Float64 = 0.0 + λ * sum(X.^2) # Initialize cost including l2 regularization cost |
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Variables: | |
X::Array{Float64,2} | |
no_objects::Int64 | |
no_dims::Int64 | |
no_triplets::Int64 | |
triplets::Array{Int64,2} | |
λ::Float64 | |
α::Float64 | |
threadsfor_fun::getfield(Main.Embeddings, Symbol("##57#threadsfor_fun#7")){Array{Float64,2},Int64,Array{Int64,2},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},Array{Float64,2},Array{Float64,1},Array{Float64,1},Float64,Array{Int64,1},Array{Int64,1},Array{Int64,1},UnitRange{Int64}} | |
P::Array{Float64,1} |
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function ∇tSTE(X::Array{Float64,2}, | |
no_objects::Int64, | |
no_dims::Int64, | |
no_triplets::Int64, | |
triplets::Array{Int64,2}, | |
λ::Float64, | |
α::Float64; | |
use_log = true::Bool)::Tuple{Float64,Array{Float64,2}} | |
P = 0.0::Float64 |
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