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[opencv/*] fix empty links and format code
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@verhovsky
verhovsky committed May 19, 2024
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93 changes: 47 additions & 46 deletions de-de/opencv-de.html.markdown
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Expand Up @@ -8,21 +8,20 @@ translators:
- ["Dennis Keller", "https://github.com/denniskeller"]
lang: de-de
---
### OpenCV

OpenCV (Open Source Computer Vision) ist eine Bibliothek von Programmierfunktionen,
OpenCV (Open Source Computer Vision) ist eine Bibliothek von Programmierfunktionen,
die hauptsächlich auf maschinelles Sehen in Echtzeit ausgerichtet ist.
Ursprünglich wurde OpenCV von Intel entwickelt. Später wurde es von
Ursprünglich wurde OpenCV von Intel entwickelt. Später wurde es von
Willow Garage und dann Itseez (das später von Intel übernommen wurde) unterstützt.
OpenCV unterstützt derzeit eine Vielzahl von Sprachen, wie C++, Python, Java uvm.

#### Installation

Bitte lies diesen Artikel für die Installation von OpenCV auf deinem Computer.

* Windows Installationsanleitung: [https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html#install-opencv-python-in-windows]()
* Mac Installationsanleitung (High Sierra): [https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a]()
* Linux Installationsanleitung (Ubuntu 18.04): [https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv]()
* [Windows Installationsanleitung](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html#install-opencv-python-in-windows)
* [Mac Installationsanleitung](https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a) (High Sierra)
* [Linux Installationsanleitung](https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv) (Ubuntu 18.04)

### Hier werden wir uns auf die Pythonimplementierung von OpenCV konzentrieren.

Expand All @@ -33,16 +32,16 @@ img = cv2.imread('Katze.jpg')

# Bild darstellen
# Die imshow() Funktion wird verwendet um das Display darzustellen.
cv2.imshow('Image',img)
cv2.imshow('Image', img)
# Das erste Argument ist der Titel des Fensters und der zweite Parameter ist das Bild
# Wenn du den Fehler Object Type None bekommst, ist eventuell dein Bildpfad falsch.
# Bitte überprüfe dann den Pfad des Bildes erneut.
cv2.waitKey(0)
# waitKey() ist eine Tastaturbindungsfunktion, sie nimmt Argumente in
# waitKey() ist eine Tastaturbindungsfunktion, sie nimmt Argumente in
# Millisekunden an. Für GUI Ereignisse MUSST du die waitKey() Funktion verwenden.

# Ein Bild schreiben
cv2.imwrite('graueKatze.png',img)
cv2.imwrite('graueKatze.png', img)
# Das erste Argument ist der Dateiname und das zweite ist das Bild

# Konvertiert das Bild zu Graustufen
Expand All @@ -51,10 +50,10 @@ gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Videoaufnahme von der Webcam
cap = cv2.VideoCapture(0)
# 0 ist deine Kamera, wenn du mehrere Kameras hast musst du deren Id eingeben
while(True):
while True:
# Erfassen von Einzelbildern
_, frame = cap.read()
cv2.imshow('Frame',frame)
cv2.imshow('Frame', frame)
# Wenn der Benutzer q drückt -> beenden
if cv2.waitKey(1) & 0xFF == ord('q'):
break
Expand All @@ -63,91 +62,93 @@ cap.release()

# Wiedergabe von Videos aus einer Datei
cap = cv2.VideoCapture('film.mp4')
while(cap.isOpened()):
while cap.isOpened():
_, frame = cap.read()
# Das Video in Graustufen abspielen
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame',gray)
cv2.imshow('frame', gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()

# Zeichne eine Linie in OpenCV
# cv2.line(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
cv2.line(img,(0,0),(511,511),(255,0,0),5)
# cv2.line(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
cv2.line(img, (0, 0), (511, 511), (255, 0, 0), 5)

# Zeichne ein Rechteck
# cv2.rectangle(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
# cv2.rectangle(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
# thickness = -1 wird zum Füllen des Rechtecks verwendet
cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
cv2.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)

# Zeichne ein Kreis
cv2.circle(img,(xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
cv2.circle(img,(200,90), 100, (0,0,255), -1)
# cv2.circle(img, (xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
cv2.circle(img, (200, 90), 100, (0, 0, 255), -1)

# Zeichne eine Ellipse
cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
cv2.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)

# Text auf Bildern hinzufügen
cv2.putText(img,"Hello World!!!", (x,y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
cv2.putText(img, "Hello World!!!", (x, y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)

# Bilder zusammenfügen
img1 = cv2.imread('Katze.png')
img2 = cv2.imread('openCV.jpg')
dst = cv2.addWeighted(img1,0.5,img2,0.5,0)
dst = cv2.addWeighted(img1, 0.5, img2, 0.5, 0)

# Schwellwertbild
# Binäre Schwellenwerte
_,thresImg = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
# Anpassbare Schwellenwerte
adapThres = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,11,2)
_, thresImg = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
# Anpassbare Schwellenwerte
adapThres = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)

# Weichzeichnung von einem Bild
# Gaußscher Weichzeichner
blur = cv2.GaussianBlur(img,(5,5),0)
blur = cv2.GaussianBlur(img, (5, 5), 0)
# Rangordnungsfilter
medianBlur = cv2.medianBlur(img,5)
medianBlur = cv2.medianBlur(img, 5)

# Canny-Algorithmus
img = cv2.imread('Katze.jpg',0)
edges = cv2.Canny(img,100,200)
img = cv2.imread('Katze.jpg', 0)
edges = cv2.Canny(img, 100, 200)

# Gesichtserkennung mit Haarkaskaden
# Lade die Haarkaskaden von https://github.com/opencv/opencv/blob/master/data/haarcascades/ herunter
import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

img = cv2.imread('Mensch.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

aces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
for x, y, w, h in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
roi_gray = gray[y : y + h, x : x + w]
roi_color = img[y : y + h, x : x + w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
for ex, ey, ew, eh in eyes:
cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)

cv2.imshow('img',img)
cv2.imshow('img', img)
cv2.waitKey(0)

cv2.destroyAllWindows()
# destroyAllWindows() zerstört alle Fenster
# Wenn du ein bestimmtes Fenster zerstören möchtest, musst du den genauen Namen des
# Wenn du ein bestimmtes Fenster zerstören möchtest, musst du den genauen Namen des
# von dir erstellten Fensters übergeben.
```

### Weiterführende Literatur:
* Lade Kaskade hier herunter [https://github.com/opencv/opencv/blob/master/data/haarcascades]()
* OpenCV Zeichenfunktionen [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html]()
* Eine aktuelle Sprachenreferenz kann hier gefunden werden [https://opencv.org]()
* Zusätzliche Ressourcen können hier gefunden werden [https://en.wikipedia.org/wiki/OpenCV]()

* Lade Kaskade hier herunter [https://github.com/opencv/opencv/blob/master/data/haarcascades](https://github.com/opencv/opencv/blob/master/data/haarcascades)
* OpenCV Zeichenfunktionen [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html](https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html)
* Eine aktuelle Sprachenreferenz kann hier gefunden werden [https://opencv.org](https://opencv.org)
* Zusätzliche Ressourcen können hier gefunden werden [https://en.wikipedia.org/wiki/OpenCV](https://en.wikipedia.org/wiki/OpenCV)
* Gute OpenCV Tutorials
* [https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html]()
* [https://realpython.com/python-opencv-color-spaces]()
* [https://pyimagesearch.com]()
* [https://www.learnopencv.com]()
* [https://docs.opencv.org/master/]()
* [https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html)
* [https://realpython.com/python-opencv-color-spaces](https://realpython.com/python-opencv-color-spaces)
* [https://pyimagesearch.com](https://pyimagesearch.com)
* [https://www.learnopencv.com](https://www.learnopencv.com)
* [https://docs.opencv.org/master/](https://docs.opencv.org/master/)
69 changes: 35 additions & 34 deletions opencv.html.markdown
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Expand Up @@ -7,9 +7,9 @@ contributors:
---
### Opencv

OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision.
Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel).
Opencv currently supports wide variety of languages like, C++, Python, Java etc
OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision.
Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel).
OpenCV currently supports wide variety of languages like, C++, Python, Java etc

#### Installation
Please refer to these articles for installation of OpenCV on your computer.
Expand All @@ -27,26 +27,26 @@ img = cv2.imread('cat.jpg')

# Displaying the image
# imshow() function is used to display the image
cv2.imshow('Image',img)
cv2.imshow('Image', img)
# Your first arguement is the title of the window and second parameter is image
# If you are getting error, Object Type None, your image path may be wrong. Please recheck the pack to the image
cv2.waitKey(0)
# waitKey() is a keyboard binding function and takes arguement in milliseconds. For GUI events you MUST use waitKey() function.

# Writing an image
cv2.imwrite('catgray.png',img)
cv2.imwrite('catgray.png', img)
# first arguement is the file name and second is the image

# Convert image to grayscale
gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Capturing Video from Webcam
cap = cv2.VideoCapture(0)
#0 is your camera, if you have multiple camera, you need to enter their id
while(True):
# 0 is your camera, if you have multiple camera, you need to enter their id
while True:
# Capturing frame-by-frame
_, frame = cap.read()
cv2.imshow('Frame',frame)
cv2.imshow('Frame', frame)
# When user presses q -> quit
if cv2.waitKey(1) & 0xFF == ord('q'):
break
Expand All @@ -55,81 +55,82 @@ cap.release()

# Playing Video from file
cap = cv2.VideoCapture('movie.mp4')
while(cap.isOpened()):
while cap.isOpened():
_, frame = cap.read()
# Play the video in grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame',gray)
cv2.imshow('frame', gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()

# Drawing The Line in OpenCV
# cv2.line(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
cv2.line(img,(0,0),(511,511),(255,0,0),5)
# cv2.line(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
cv2.line(img, (0, 0), (511, 511), (255, 0, 0), 5)

# Drawing Rectangle
# cv2.rectangle(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
# cv2.rectangle(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
# thickness = -1 used for filling the rectangle
cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
cv2.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)

# Drawing Circle
cv2.circle(img,(xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
cv2.circle(img,(200,90), 100, (0,0,255), -1)
# cv2.circle(img, (xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
cv2.circle(img, (200, 90), 100, (0, 0, 255), -1)

# Drawing Ellipse
cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
cv2.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)

# Adding Text On Images
cv2.putText(img,"Hello World!!!", (x,y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
cv2.putText(img, "Hello World!!!", (x, y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)

# Blending Images
img1 = cv2.imread('cat.png')
img2 = cv2.imread('openCV.jpg')
dst = cv2.addWeighted(img1,0.5,img2,0.5,0)
dst = cv2.addWeighted(img1, 0.5, img2, 0.5, 0)

# Thresholding image
# Binary Thresholding
_,thresImg = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
_, thresImg = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
# Adaptive Thresholding
adapThres = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,11,2)
adapThres = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)

# Blur Image
# Gaussian Blur
blur = cv2.GaussianBlur(img,(5,5),0)
blur = cv2.GaussianBlur(img, (5, 5), 0)
# Median Blur
medianBlur = cv2.medianBlur(img,5)
medianBlur = cv2.medianBlur(img, 5)

# Canny Edge Detection
img = cv2.imread('cat.jpg',0)
edges = cv2.Canny(img,100,200)
img = cv2.imread('cat.jpg', 0)
edges = cv2.Canny(img, 100, 200)

# Face Detection using Haar Cascades
# Download Haar Cascades from https://github.com/opencv/opencv/blob/master/data/haarcascades/
import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

img = cv2.imread('human.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
for x, y, w, h in faces:
# Draw a rectangle around detected face
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
roi_gray = gray[y : y + h, x : x + w]
roi_color = img[y : y + h, x : x + w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
for ex, ey, ew, eh in eyes:
# Draw a rectangle around detected eyes
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)

cv2.imshow('img',img)
cv2.imshow('img', img)
cv2.waitKey(0)

cv2.destroyAllWindows()
# destroyAllWindows() destroys all windows.
# destroyAllWindows() destroys all windows.
# If you wish to destroy specific window pass the exact name of window you created.
```

Expand All @@ -139,7 +140,7 @@ cv2.destroyAllWindows()
* OpenCV drawing Functions [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html](https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html)
* An up-to-date language reference can be found at [https://opencv.org](https://opencv.org)
* Additional resources may be found at [https://en.wikipedia.org/wiki/OpenCV](https://en.wikipedia.org/wiki/OpenCV)
* Good OpenCv Tutorials
* Good OpenCV Tutorials
* [https://realpython.com/python-opencv-color-spaces](https://realpython.com/python-opencv-color-spaces)
* [https://pyimagesearch.com](https://pyimagesearch.com)
* [https://www.learnopencv.com](https://www.learnopencv.com)
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