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Fabio Manganiello blacklight

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blacklight / correlation.ipynb
Last active February 11, 2022 21:25
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blacklight / foreign-students.ipynb
Created December 16, 2021 20:54
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blacklight / foreign_students_by_country_and_field.csv
Created December 16, 2021 20:53
We can't make this file beautiful and searchable because it's too large.
"COUNTRY","Country","INDICATOR","Indicator","SEX","Gender","EDUCATION_LEV","Education level","MOBILITY","Mobility status","EDUCATION_FIELD","Field","YEAR","Year","Value","Flag Codes","Flags"
"AUS","Australia","ENRL_SHARE_MOBILE-FIELDS","Share of mobile students by field","_T","Total","ISCED11_5","Short-cycle tertiary education","MOB","Mobile including homecoming nationals","_T","Total","9999","Latest available year",32.568,,
"AUS","Australia","ENRL_SHARE_MOBILE-FIELDS","Share of mobile students by field","_T","Total","ISCED11_6","Bachelor’s or equivalent level","MOB","Mobile including homecoming nationals","_T","Total","9999","Latest available year",17.26,,
"AUS","Australia","ENRL_SHARE_MOBILE-FIELDS","Share of mobile students by field","_T","Total","ISCED11_7","Master’s or equivalent level","MOB","Mobile including homecoming nationals","_T","Total","9999","Latest available year",56.32,,
"AUS","Australia","ENRL_SHARE_MOBILE-FIELDS","Share of mobile students by field","_T","Total","ISCED11_8","Doctoral or equ
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blacklight / platypush_camera_start.py
Created October 30, 2020 23:07
Script that starts Pi Camera streaming on port 5001 when Platypush starts
from platypush.context import get_plugin
from platypush.event.hook import hook
from platypush.message.event.application import ApplicationStartedEvent
@hook(ApplicationStartedEvent)
def on_application_started(event, **_):
cam = get_plugin('camera.pi')
cam.start_streaming()
@blacklight
blacklight / platypush_babymonitor_script.py
Created October 30, 2020 22:28
Script illustrating two hooks that send a notification to the configured mobile devices when a baby cry start/stop event is detected
from platypush.context import get_plugin
from platypush.event.hook import hook
from platypush.message.event.custom import CustomEvent
@hook(CustomEvent, subtype='baby-cry', state='positive')
def on_baby_cry_start(event, **_):
pb = get_plugin('pushbullet')
pb.send_note(title='Baby cry status', body='The baby is crying!')
@blacklight
blacklight / micmon_detect.py
Last active October 30, 2020 21:36
This script shows how to use a previously trained micmon model to trigger Platypush events when a new sequence of positive/negative audio segments is detected
#!/usr/bin/python3
import argparse
import logging
import os
import sys
from platypush import RedisBus
from platypush.message.event.custom import CustomEvent
@blacklight
blacklight / micmon_predict_example.py
Created October 30, 2020 21:12
Use a previously trained Tensorflow micmon sound model to make predictions on sound segments from a microphone
import os
from micmon.audio import AudioDevice
from micmon.model import Model
model_dir = os.path.expanduser('~/models/sound-detect')
model = Model.load(model_dir)
audio_system = 'alsa' # Supported: alsa and pulse
audio_device = 'plughw:2,0' # Get list of recognized input devices with arecord -l
@blacklight
blacklight / micmon_train_example.py
Created October 30, 2020 21:07
Train a Tensorflow model for sound detection from a micmon dataset
import os
from tensorflow.keras import layers
from micmon.dataset import Dataset
from micmon.model import Model
# This is a directory that contains the saved .npz dataset files
datasets_dir = os.path.expanduser('~/datasets/sound-detect/data')
# This is the output directory where the model will be saved
@blacklight
blacklight / micmon_datagen_example.py
Created October 30, 2020 21:02
Generate a micmon spectrum dataset from a set of raw labelled audio files
import os
from micmon.audio import AudioDirectory, AudioPlayer, AudioFile
from micmon.dataset import DatasetWriter
basedir = os.path.expanduser('~/datasets/sound-detect')
audio_dir = os.path.join(basedir, 'audio')
datasets_dir = os.path.join(basedir, 'data')
cutoff_frequencies = [250, 2500]
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blacklight / reader-mode.js
Created July 7, 2020 18:45
// Platypush sample user script to simplify/distill the content of a web page
async (app, args) => {
const url = await app.getURL();
// Get and parse the page body through the Mercury API
const dom = await app.getDOM();
const html = dom.body.innerHTML;
const response = await app.mercury.parse(url, html);
// Define a new DOM that contains the simplified body as well as