Sin-Di Lee mcdlee
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| import requests | |
| import json | |
| import pandas as pd | |
| from matplotlib import pyplot as plt | |
| import folium | |
| client_id = "xxxx" # 佛曰不可說 | |
| client_key = "xxxx" # 佛曰不可說 | |
| auth_url = "https://tdx.transportdata.tw/auth/realms/TDXConnect/protocol/openid-connect/token" |
mcdlee
/ cost_matrix.ipynb
Created
July 6, 2023 04:46
Loss matrix of EMD in Python optimal transports
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mcdlee
/ birth_Taiwan.ipynb
Created
May 9, 2023 02:05
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mcdlee
/ point_line.py
Created
June 10, 2022 00:53
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| def lines2intersectionTuple(L1, L2): | |
| # intersection of xcos(theta)+ysin(theta)=D, input as (theta, D) tuple | |
| # the unit of theta is degree | |
| theta1 = np.deg2rad(L1[0]) | |
| theta2 = np.deg2rad(L2[0]) | |
| D1 = L1[1] | |
| D2 = L2[1] | |
| y = np.round((D1/np.cos(theta1) - D2/np.cos(theta2))/(np.tan(theta1)-np.tan(theta2))) | |
| x = np.round((D1/np.cos(theta1) - y*np.tan(theta1))) | |
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| filtering <- function(list, xFOV = 533, yFOV = 387, energy="All"){ | |
| # unit of FOV is mm | |
| # energy windows including "Tc", "Ga", "I131" | |
| require(data.table) | |
| require(dplyr) | |
| require(magrittr) | |
| require(tidyr) | |
| require(Matrix) | |
| FOV <- subset(list, (V12 <= xFOV/2 & V12 >= -xFOV/2 & V14 <= yFOV/2 & V14 >= -yFOV/2)) |
mcdlee
/ gist:2d6dc6775dccd453c72e512cc20c5193
Created
December 16, 2020 05:06
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| pip install --trusted-host pypi.python.org --trusted-host files.pythonhosted.org --trusted-host pypi.org <modulename> |
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| ^j::RepeatClick() ;請按 ctrl-j | |
| RepeatClick() { | |
| InputBox, repeat, Repeat, How many times do you want to repeat? | |
| Loop, %repeat% | |
| { | |
| Send {F3} | |
| Sleep, 500 | |
| Click, 100, 300 ;不會妨礙操作的座標 |
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| library(shiny) | |
| isotopeTable <- read.csv("isotope.csv") | |
| isotopeList <- isotopeTable$isotope | |
| generateActivityTable <- function(Bq){ | |
| Unit <- c("Bq", "kBq", "MBq", "mCi", "Ci") | |
| Activity <- c(Bq, Bq/1E3, Bq/1E6, Bq/3.7E7, Bq/3.7E10) | |
| table <- data.frame(Unit, Activity) |
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| import radiomics | |
| import six | |
| from radiomics import featureextractor | |
| import pandas as pd | |
| import numpy as np | |
| from matplotlib import pyplot as plt | |
| extractor = featureextractor.RadiomicsFeatureExtractor() | |
| def feature2pd(image, mask, index): |
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