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Global Health with Greg Martin
Statistics made easy ! ! ! Learn about the t-test, the chi square test, the p value and more
Global Health
Videos:
- How to get Global Health Field Experience – getting ready for your career in public health
- How to get Global Health Field Experience – getting ready for your career in public health
- The Social Determinants of Health. A Public Health framework.
- Gender-Based Violence and Violence Against Women – a public health issue
- How to write a scientific paper
- How to write a literature review
- Epidemiological transition
- Pandemics – a worrying global public health threat
- Outbreaks – investigation and control
- Universal Health Coverage explained
- Epidemiology the backbone of public health
- Management and Public Health
- 6 ways that Gender affects Health
- Health Systems
- Health Economics
- Finding the right job in Global Health
- Finding a job in Global Health
- Research Methods – Introduction
- President Trump and Global Health – what are the issues?
- Climate change and public health – why Trump should NOT have pulled out of the Paris Agreement
- Justice, Equality and Global Health
- Global Health Ethics – A Framework for Thinking
- Global Health Ethics (understudying right and wrong)
- Global Health and Human Rights
- Exploitation and Global Health
- R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
- Tedros – the new Director General of the World Health Organization
- Know how to interpret an epidemic curve?
- Careers in Global Health – identify your area of interest
- Global Health Careers – Your Role
- Skills and Competencies for Public Health
- Jobs in Global Health – who’s hiring
- The State of Global Health
- How to get funding for your public health project.
- Get involved and support this global health channel
Working in Global Health
- How to get Global Health Field Experience – getting ready for your career in public health
- Careers in Global Health – identify your area of interest
- Global Health Careers – Your Role
- Skills and Competencies for Public Health
- Jobs in Global Health – who’s hiring
- Finding the right job in Global Health
- Getting a job at the World Health Organization
- Consulting jobs Global Health – how to get work
- Finding a job in Global Health
- What is public health?
- Web pages for jobs in Global Health
- Careers in Global Health – a panel discussion
- How to get funding for your public health project.
- Writing a grant application for public health projects
- The Global Fund’s new funding model
- Entrepreneurship and Innovation in Public Health
- Finding a job at a UN agency – This Week in Global Health
- Access to Medicines (part IV). How to get a job!
- Apply and interview for jobs in Global Health
- 19 Videos18.018 AufrufeZuletzt am 30.09.2019 aktualisiert
Windows 10: Grub Command-Line without Grub
How to start a windows partition from the Grub command line
insmod part_gpt insmod chain set root=(hd0,gpt1)
chainloader /EFI/Microsoft/Boot/bootmgfw.efi boot
OpenCV
OpenCV Tutorials
At night, my mother sleeps quietly – we collect OpenCV for Raspbian / Habr
OpenCV Official Tutorials
3.4
Master
OpenCV Tutorials
The Core Functionality (core module)
Discrete Fourier Transform
readthedocs.io
eastWillow
OpenCV-Python Tutorials (2016)
Raphael Holzer
OpenCV tutorial (2019)
Satya Mallick
Satya Mallick
Adrian Rosebrock
pyimagesearch.com
- Histogram of Oriented Gradients (HOG)
- Linear Support Vector Machine (SVM)
- Intersection over Union (IoU)
OpenCV Tutorial: A Guide to Learn OpenCV
The perfect computer vision environment: PyCharm, OpenCV, and Python virtual environments
Ball Tracking with OpenCV
Intersection over Union (IoU) for object detection
Histogram of Oriented Gradients and Object Detection
4 Point OpenCV getPerspective Transform Example
Regression
Regression with Keras
Keras, Regression, and CNNs
Keras: Multiple Inputs and Mixed Data
Building a Pokedex in Python
Building a Pokedex in Python: Getting Started (Step 1 of 6)
Building a Pokedex in Python: Scraping the Pokemon Sprites (Step 2 of 6)
Building a Pokedex in Python: Indexing our Sprites using Shape Descriptors (Step 3 of 6)
Building a Pokedex in Python: Finding the Game Boy Screen (Step 4 of 6)
Building a Pokedex in Python: OpenCV and Perspective Warping (Step 5 of 6)
Building a Pokedex in Python: Comparing Shape Descriptors with OpenCV (Step 6 of 6)
Madhav
Image Manipulations in Python OpenCV (Part 1)
Image Manipulations in OpenCV (Part-2)
Michael Young (ayoungprogrammer)
Tutorial: Creating a Multiple Choice Scanner with OpenCV
github.com/ayoungprogrammer/MultipleChoiceScanner, A multiple choice scanner
Books
- Practical Python and OpenCV
- Practical Python and OpenCV, 3rd Edition + Case studies
- Case Studies (Practical Python and OpenCV)
- Deep Learning for Computer Vision with Python
OpenMP / Parallel Programming
MT
Hautkrebs
Basaliom; Basalzellkarzinom
Plattenepithelkarzinom
Pigmentnävus
Melanozyt (Pigmentzelle des Menschen)
Haut
Hautkrankheit
Dermis
Zellproliferation
Instationarität, transient
Clark-Level
Tumordicke nach Breslow
Basalzellkarzinom
Plattenepithelkarzinom
Der Naevus – Welches Muttermal ist bedrohlich?
ERKRANKUNGEN DER HAUT / GUTARTIGE HAUTTUMOREN, WUCHERUNGEN UND VASKULÄRE LÄSIONEN / NÄVI
ERKRANKUNGEN DER HAUT / KREBSERKRANKUNGEN DER HAUT
ERKRANKUNGEN DER HAUT / KREBSERKRANKUNGEN DER HAUT / MALIGNE HAUTTUMOREN IM ÜBERBLICK
ZHAW Lohn
ZHAW
Arbeiten an der ZHAW
Arbeiten an der ZHAW (PDF)
Kanton Zürich – Finanzdirektion Personalamt
Glassdoor
EVA1: Advanced Medical Thermal Imaging
Spezifischer Widerstand, Resistivität
Ausdehnungskoeffizient
Wärmeausdehnung, thermische Expansion
Thermoelement
Thermoelektrizität
Stefan-Boltzmann-Gesetz
Kirchhoffsches Strahlungsgesetz
Wiensches Verschiebungsgesetz
Wiensches Strahlungsgesetz
Wellenlänge
Bildsensor
Staring array, focal-plane array (FPA)
Impedanz, Wechselstromwiderstand
Wellenwiderstand
Schrotrauschen, shot noise
Wärmerauschen, thermal or johnson noise
Funkelrauschen, flicker noise
Elektrische Leitfähigkeit, electrical conductivity
Pyroelektrizität, pyroelectric effect
7Bildaufnahmeröhre
Vidicon
Dispersion (Physik)
Wärmeübertragung
Heat transfer
Wärmeübertragung (Playlist)
Wärmeübertrager [Thermodynamik] |StudyHelp
Konvektion, Wärmeströmung einfach erklärt! Übersicht und Beispiel
Wärmeübertragung (Playlist)
Wärmelehre (Physik Mittelstufe)
Wärmeströmung | alpha Lernen erklärt Physik
Wärmestrahlung | alpha Lernen erklärt Physik
Frequenzmodulation (FM)
Nyquist-Shannon-Abtasttheorem
Biot number
Emissivity
Specific heat capacity
Thermal diffusivity
Thermal conductivity
Heat flux
MATLAB vs. Scipy
MATLAB vs Python: Why and How to Make the Switch
NumPy for Matlab users
ind2rgb
Convert and indexed image to RGB and back without losing data
Computer Vision
Corner detection
Corner detection
Interest-Operator, Markante Stellen
Harris Corner Detector
Baseline Correction / Subtraction / Removal
Python baseline correction library
Peak Analyzer, Subtract Baseline
WaveMetric Baseline Subtraction
Plotly: Baseline Subtraction in Python/v3
Background Subtraction
Foreground detection
OpenCV: How to Use Background Subtraction Methods
Background Subtraction
Background Subtraction
Rolling Ball
Document
Biomedical Image Processing, Sternberg (PDF)
Rolling Ball Background Subtraction
ImageJ Documentation Wiki – Subtract background
Rolling Ball Background Subtraction Challenge
Source
imagej.nih.gov/ij/developer/source/ij/plugin/filter/BackgroundSubtracter.java.html
magej.net/plugins/download/Rolling_Ball_Background.java
mkitti/rollingBallTestCLIJ.ijm
Rolling ball and sliding paraboloid background subtraction algorithms
github.com/nearlyfreeapps/Rolling-Ball-Algorithm/blob/master/rolling_ball.py
Lens Distortions
- barrel distortion (Tonnenförmige Verzeichnung)
- radial distortion
- tangential distortion
Wikipedia: Verzeichnung
Rectilinear lens
MATLAB
What Is Camera Calibration?
detectCheckerboardPoints
estimateCameraParameters, Calibrate a single or stereo camera
undistortImage, Correct image for lens distortion
Tutorials
Camera Calibration using OpenCV
Camera Calibration and 3D Reconstruction
Camera Calibration (master, 4.3.0-dev)
Camera Calibration (3.3.0)
Camera Calibration and 3D Reconstruction
Fisheye camera model
Correcting for Lens Distortions
github.com/hgmeyer/AutoFan/blob/master/code/unwarping/Unwarping.py
Matlab detectCheckerboardPoints imperfection
Computer Vision
github.com/elcorto/unfish, Correct fisheye distortions in images using OpenCV (Python)
github.com/mesutpiskin/opencv-fisheye-undistortion, OpenCV camera calibration and image undistortion, Camera Calibration and Fisheye Undistortion with OpenCV
github.com/bovine/defish, Algorithmic correction of fisheye lens distortion (C++)
Machine Learning
github.com/Mckinsey666/awesome-image-rectification, A curated list of image rectification papers, Awesome Image Rectification
github.com/rvarun7777/FisheyeDistanceNet, FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving
Image Fusion with Wavelet Transformation
Review of Image Fusion with Guided Filtering
Image Fusion Using wavelet transform in python
Wavelet transform in openCV
PyWavelets – Wavelet Transforms in Python
2D Forward and Inverse Discrete Wavelet Transform
nD Forward and Inverse Discrete Wavelet Transform
Camera Calibration and 3D Reconstruction
- solvepnp
- tracking
What is the difference between solvePnP and calibrateCamera in opencv?
solvePnP returning incorrect values
SolvePNP Bad Result Planar Marker
AR With External Tracking – Alignment is wrong, values are right
DICOM
Digital Imaging and Communications in Medicine (DICOM), Digitale Bildgebung und -kommunikation in der Medizin
Digital Imaging and Communications in Medicine (DICOM)
DICOM Software
AMIDE: Amide’s a Medical Imaging Data Examiner
OsiriX
Wiener- and Lucy-Richardson Deconvolution
Wiener deconvolution
Richardson–Lucy deconvolution
Out-of-focus Deblur Filter
Weiner deconvolution using opencv
Image Deconvolution
Lucy – Richardson Deconvolution with Matlab and OpenCV
- github.com/tvganesh/deconvlucy, An implementation of Lucy-Richardson algorithm with OpenCV
- github.com/tvganesh/weiner-reloaded, Weiner filter reloaded in OpenCV
- github.com/tvganesh/weiner, Deblurring in OpenCV using Weiner filter
- github.com/tvganesh/deconv, Deblurring through deconvolution in OpenCV
- https://github.com/tvganesh/weiner1, Another implementation of Weiner filter in OpenCV
Qt Image / QPainter
Image Viewer Example
Basic Drawing Example
QT5 TUTORIAL MAINWINDOW AND IMAGEVIEWER USING CREATOR – PART A – 2020
QT5 TUTORIAL MAINWINDOW AND IMAGEVIEWER USING CREATOR – PART B – 2020
QT drawing a circle [duplicate]
What is the difference between QImage and QPixmap?
Diff between QImage, QPixmap, QPicture
- Qt provides four classes for handling image data: QImage, QPixmap, QBitmap and QPicture. QImage is designed and optimized for I/O, and for direct pixel access and manipulation, while QPixmap is designed and optimized for showing images on screen. QBitmap is only a convenience class that inherits QPixmap, ensuring a depth of 1. Finally, the QPicture class is a paint device that records and replays QPainter commands.
- QImage: Fast to draw to, slow to display.
QPixmap: Slow to draw to, fast to display.
YouTube
TSM_CompVis
Neural Networks and Deep Learning
Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville
Code samples for my book “Neural Networks and Deep Learning”
CS231n Convolutional Neural Networks for Visual Recognition
Padding and Stride
A Beginner’s Guide To Understanding Convolutional Neural Networks Part 2
skimage
General examples
Hysteresis thresholding
Mean filters
Denoising a picture
Unsharp masking
Canny edge detector
Straight line Hough transform
Circular and Elliptical Hough Transforms
Rescale, resize, and downscale
Piecewise Affine Transformation
Histogram Equalization
RGB to grayscale
Adapting gray-scale filters to RGB images
Thresholding, Otsu’s method
Morphological Filtering
Rank filters
Image Segmentation
A crash course on NumPy for images
API
Module: io
Module: filters
Module: transform
Module: morphology
Module: color
Module: exposure
Tutorial
Bright ridge detection not working as expected with Frangi, Frangi-, Hessian-Filter
IPython (Jupyter) widgets: An image convolution demo
Wiener Filter for image deblur
github.com/scikit-image/skimage-demos/blob/master/clock_deblur.py
Histogram Equalization
scipy
Multidimensional image processing (scipy.ndimage)
API
scipy.ndimage.binary_fill_holes
Python
python-kurs.eu
Generatoren und Iteratoren
Lambda, filter, reduce und map
Listen-Abstraktion (List Comprehension)
ORDIX blog
Python Generator-Funktionen und -Expressions: Ein alter Hut kann auch modern sein
Einstieg in Neuronale Netze mit TensorFlow und Keras
Data Mining in der Praxis (Teil I): Was ist Data Mining?
Data Mining in der Praxis (Teil II): Klassifikation
Data Mining in der Praxis (Teil III) Lineare Regression
Real Python
Python 3’s f-Strings: An Improved String Formatting Syntax (Guide)
name = "Eric"
age = 28
### Option #1: %-formatting
print("Hello, %s. You are %d." % (name, age))
### Option #2: str.format()
print("Hello, {}. You are {}.".format(name, age))
### Option #3: f-Strings
print(f"Hello, {name}. You are {age}.")
Homework
Digitize your Receipts using Computer Vision
Deep Dive Into OCR for Receipt Recognition
Simple OCR implementation on Android with Google’s ML Kit
find intersection point of two lines drawn using houghlines opencv
Intersection of two lines defined in (rho/theta ) parameterization
Reading multiple invoices from an image using OCR/computer vision
How can I detect an object from static image and crop it from the image using openCV?
Receipt Scanning – How to scan a receipt and extract data from it
how to find coordinates of intersection of lines after using “houghlines”
Expense Reports in a Snap (or a Tap)
Homogene Koordinaten
Homogene Koordinaten
Ebenengleichung
Koordinatenform
Homogene Koordinaten
Lecture 2: Homogeneous Coordinates, Lines and Conics (PDF)
Computer Vision (SBE404B)
Asem Alaa
EslamAdel
Ayman Anwar
Computer Vision (SBE404B) – Spring 2020
Computer Vision (SBE404B) – Spring 2019
Computer Vision (SBE404B) – Spring 2018
Week 1: Warming up with Python Basics
Week 2: Image Processing 1
Week 3: Images in Frequency Domain
Week 4: Image Filtering and Edge Detection
Week 5: Hough Transform (Line and Circle Detection)
Week 6: Corner Detection
Week 7: Segmentation (Thresholding and Region growing)
Week 8: Segmentation (Clustering Segmentation)
Week 10: Image features, feature descriptors, and feature matching
github.com/sbme-tutorials/cv-week1-demo
github.com/sbme-tutorials/sbe401-week2-demo
github.com/sbme-tutorials/cv_week3_demo
github.com/sbme-tutorials/cv-week4-demo
github.com/sbme-tutorials/cv-week8-demo
Week 1
Deep Learning Alchemy to close the Perception Loop in Vision: Part 1 – Image Alignment with Pytorch
CS231n Convolutional Neural Networks for Visual Recognition – Python Numpy Tutorial
CS228 Python Tutorial (Notebook)
Python Single Line For Loops
The Confusing Double Colon (::) in NumPy
Flags
PyX — Python graphics package
Python:Flags Tutorial
Python:Flags with Lines Tutorial
Python Essentials
Data Structure
4. Data Structures (list, dict, tuples, sets, strings)
5. Data Structures
Python Data Types
Basic Data Types in Python
Python Data Types
Data Types in Python
Format String
Format String Syntax
Format String Syntax
Format Specification Mini-Language
Slice
Loop, Iteration
Loop better: A deeper look at iteration in Python
Python Basics: Iteration, Iterables, Iterators, and Looping
Exercise
W3Resources: NumPy Exercises, Practice, Solution
Machine Learning Plus: 101 NumPy Exercises for Data Analysis (Python)
HackerRank: Numpy Challenges
Week 2
How can I draw lines into numpy arrays?
How to draw thick anti-aliased lines in SciPy?
scikit-image – Module: draw
scikit-image – Shapes
Wikipedia: Line drawing algorithm
Rasterung von Linien
Rasterung
Week 3
Convert NumPy
How to convert a boolean array to an int array
Histogramm
Histograms in Image Processing with skimage-Python
Week 4
Python 3 – Built-in Functions
Python 3 – Built-in Types
scikit-image.org
kite
YouTube
Image Analysis in Python with SciPy and Scikit Image | Scipy 2019 Tutorial | Nunez-Iglesias
Image Analysis in Python with SciPy and scikit-image | SciPy 2018 Tutorial | Stefan van der Walt
20 – Introduction to image processing using scikit-image in Python
ABC
Glossary: ABC
Abstract Base Classes for Containers
Iterable / Iterator
Iter-ables are able to be iterated over. Iter-ators are the agents that perform the iteration.
Iterators are lazy single-use iterables (not precompiled, just-in-time calculation)
- They’re “lazy” because they have the ability to only compute items as you loop over them.
- And they’re “single-use” because once you’ve “consumed” an item from an iterator, it’s gone forever.
- The term “exhausted” is often used for an iterator that has been fully consumed.
The Iterator Protocol: How “For Loops” Work in Python
Importantly, it should be noted that iterators are stateful. Meaning once you’ve consumed an item from an iterator, it’s gone. So after you’ve looped over an iterator once, it’ll be empty if you try to loop over it again.
An iterator is like a stream of items. You can only look at the items in the stream one at a time and you only ever have access to the first element. To look at something in the stream, you need to remove it from the stream and once you take something from the top of the stream, it’s gone from the stream for good.
range
range is an iterable, but not an iterator
Sequence Types — list, tuple, range
Ranges
Python’s range() Function Explained
Python: range is not an iterator!
- immutable sequence type
- looping a specific number of times in for loops
- When you’re using an iterator, every loop of the for statement produces the next number on the fly.
The advantage of the range type over a regular list or tuple is that a range object will always take the same (small) amount of memory, no matter the size of the range it represents (as it only stores the start, stop and step values, calculating individual items and subranges as needed).
zip
Python iterator and zip
Using the Python zip() Function for Parallel Iteration
Packing / Unpacking
4.7.4. Unpacking Argument Lists
Generator
Iterable -> Iterator -> Generator
Python Generators
Generators
Python Generators vs Iterators – Comparison Between Python Iterators and Generators
Difference between Python’s Generators and Iterators
Generator Expressions vs. List Comprehension
# Generator expression (x*2 for x in range(256)) # List comprehension [x*2 for x in range(256)]
line_list = [' line 1\n', 'line 2 \n', ...] # Generator expression -- returns iterator stripped_iter = (line.strip() for line in line_list) # List comprehension -- returns list stripped_list = [line.strip() for line in line_list]
Generator Expressions vs. List Comprehension
Generator expressions and list comprehensions
Python List Comprehensions vs Generator Expressions
Week 10
Converting image from RGB to LUV and back results in different image
K-Means Clustering in OpenCV
Liste der Farbräume
CIELUV-Farbraumsystem
CIELUV