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Clarence Leung clarle

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clarle /
Last active September 19, 2019 19:12

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clarle / denoising.ipynb
Last active August 18, 2018 18:54
Image Denoising with OpenCV
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clarle /
Created March 2, 2018 00:49 — forked from anonymous/
Patched alignment and merging scripts including the option for masking via the detected face points, seamless clone and erosion and blurring of the masks.
import argparse
import cv2
import dlib
import json
import numpy
import skimage
from pathlib import Path
from tqdm import tqdm
from umeyama import umeyama
clarle /
Created June 23, 2017 03:40
Pedestrian Detection
%matplotlib inline
import numpy as np
import cv2
import imutils
from matplotlib import pyplot as plt
from imutils.object_detection import non_max_suppression
hog = cv2.HOGDescriptor()
clarle / SignupViewModel.m
Created August 7, 2016 17:42
Sign up a user with a unique username in Firebase
- (void)signUpUser:(NSString *)username password:(NSString *)password email:(NSString *)email completion:(void (^)(FIRUser *user, NSError *error))completion {
[[FIRAuth auth]
completion:^(FIRUser *user, NSError *error) {
FIRDatabaseReference *ref = [[FIRDatabase database] reference];
FIRDatabaseReference *userRef = [[ref child:@"users"] child:username];
[userRef observeSingleEventOfType:FIRDataEventTypeValue withBlock:^(FIRDataSnapshot *snapshot) {
if (snapshot && snapshot.value[@"uid"] == nil) {
[userRef setValue:user.uid forKey:@"uid"];
clarle /
Created June 29, 2016 13:17
Generate simulated phylogenetic data using DendroPy
import dendropy
from dendropy.simulate import treesim
from dendropy.model.discrete import Hky85, simulate_discrete_char_dataset
# Generate a simulated tree
taxa = dendropy.TaxonNamespace(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])
tree_model = treesim.birth_death_tree(birth_rate=1.0, death_rate=0.5, taxon_namespace=taxa)
# Use the HKY85 model for character mutation
seq_model = Hky85()
clarle / hour_summary.R
Last active September 14, 2018 21:50
Summing hours in HH:MM:SS format in R
# Parse data from HH:MM:SS format into something that can be used by `lubridate`
hours %>%
separate(Duration, into = c("hours", "minutes", "seconds"), sep = ":", convert = TRUE) %>%
summarize(total_time = duration(hour = sum(hours), minute = sum(minutes), second = sum(seconds)))
clarle /
Last active June 7, 2016 16:20
Closest Mersenne function - optimized for readability, not performance
from math import log
def round_base_2(n):
return 2**round(log(n)/log(2))
def closest_mersenne(n):
rb2 = round_base_2(n)
# We got the closest power of 2, so you can just drop the first digit and replace all others with 1
result = bin(rb2)[3:].replace('0', '1')
return int(result, 2)
clarle / app.js
Created October 24, 2015 16:06
Target API data fetching with Express and Request
var _ = require('lodash'),
express = require('express'),
request = require('request'),
app = express();
var API_KEY = '1Kfdqvy6wHmvJ4LDyAVOl7saCBoKHcSb';
app.get('/products/:id', function(req, res) {
var ourData = {
age_group: '0-1 years old',
clarle /
Created August 8, 2015 04:54
Blood sugar random data generation
import random
import csv
DAYS = 7
HOURS = 24
data = []
for day in range(DAYS):
for hour in range(HOURS):