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[opencv/*] fix empty links and format code
This commit is contained in:
Boris Verkhovskiy
parent
781b19ef41
commit
34c5f5ad9a
@ -8,7 +8,6 @@ translators:
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- ["Dennis Keller", "https://github.com/denniskeller"]
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lang: de-de
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---
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### OpenCV
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OpenCV (Open Source Computer Vision) ist eine Bibliothek von Programmierfunktionen,
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die hauptsächlich auf maschinelles Sehen in Echtzeit ausgerichtet ist.
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@ -20,9 +19,9 @@ OpenCV unterstützt derzeit eine Vielzahl von Sprachen, wie C++, Python, Java uv
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Bitte lies diesen Artikel für die Installation von OpenCV auf deinem Computer.
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* 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]()
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* Mac Installationsanleitung (High Sierra): [https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a]()
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* Linux Installationsanleitung (Ubuntu 18.04): [https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv]()
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* [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)
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* [Mac Installationsanleitung](https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a) (High Sierra)
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* [Linux Installationsanleitung](https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv) (Ubuntu 18.04)
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### Hier werden wir uns auf die Pythonimplementierung von OpenCV konzentrieren.
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@ -33,7 +32,7 @@ img = cv2.imread('Katze.jpg')
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# Bild darstellen
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# Die imshow() Funktion wird verwendet um das Display darzustellen.
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cv2.imshow('Image',img)
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cv2.imshow('Image', img)
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# Das erste Argument ist der Titel des Fensters und der zweite Parameter ist das Bild
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# Wenn du den Fehler Object Type None bekommst, ist eventuell dein Bildpfad falsch.
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# Bitte überprüfe dann den Pfad des Bildes erneut.
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@ -42,7 +41,7 @@ cv2.waitKey(0)
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# Millisekunden an. Für GUI Ereignisse MUSST du die waitKey() Funktion verwenden.
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# Ein Bild schreiben
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cv2.imwrite('graueKatze.png',img)
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cv2.imwrite('graueKatze.png', img)
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# Das erste Argument ist der Dateiname und das zweite ist das Bild
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# Konvertiert das Bild zu Graustufen
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@ -51,10 +50,10 @@ gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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# Videoaufnahme von der Webcam
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cap = cv2.VideoCapture(0)
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# 0 ist deine Kamera, wenn du mehrere Kameras hast musst du deren Id eingeben
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while(True):
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while True:
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# Erfassen von Einzelbildern
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_, frame = cap.read()
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cv2.imshow('Frame',frame)
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cv2.imshow('Frame', frame)
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# Wenn der Benutzer q drückt -> beenden
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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@ -63,59 +62,60 @@ cap.release()
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# Wiedergabe von Videos aus einer Datei
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cap = cv2.VideoCapture('film.mp4')
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while(cap.isOpened()):
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while cap.isOpened():
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_, frame = cap.read()
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# Das Video in Graustufen abspielen
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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cv2.imshow('frame',gray)
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cv2.imshow('frame', gray)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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cap.release()
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# Zeichne eine Linie in OpenCV
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# cv2.line(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
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cv2.line(img,(0,0),(511,511),(255,0,0),5)
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# cv2.line(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
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cv2.line(img, (0, 0), (511, 511), (255, 0, 0), 5)
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# Zeichne ein Rechteck
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# cv2.rectangle(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
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# cv2.rectangle(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
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# thickness = -1 wird zum Füllen des Rechtecks verwendet
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cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
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cv2.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)
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# Zeichne ein Kreis
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cv2.circle(img,(xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
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cv2.circle(img,(200,90), 100, (0,0,255), -1)
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# cv2.circle(img, (xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
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cv2.circle(img, (200, 90), 100, (0, 0, 255), -1)
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# Zeichne eine Ellipse
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cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
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cv2.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)
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# Text auf Bildern hinzufügen
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cv2.putText(img,"Hello World!!!", (x,y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
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cv2.putText(img, "Hello World!!!", (x, y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
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# Bilder zusammenfügen
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img1 = cv2.imread('Katze.png')
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img2 = cv2.imread('openCV.jpg')
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dst = cv2.addWeighted(img1,0.5,img2,0.5,0)
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dst = cv2.addWeighted(img1, 0.5, img2, 0.5, 0)
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# Schwellwertbild
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# Binäre Schwellenwerte
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_,thresImg = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
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_, thresImg = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
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# Anpassbare Schwellenwerte
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adapThres = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,11,2)
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adapThres = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
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# Weichzeichnung von einem Bild
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# Gaußscher Weichzeichner
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blur = cv2.GaussianBlur(img,(5,5),0)
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blur = cv2.GaussianBlur(img, (5, 5), 0)
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# Rangordnungsfilter
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medianBlur = cv2.medianBlur(img,5)
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medianBlur = cv2.medianBlur(img, 5)
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# Canny-Algorithmus
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img = cv2.imread('Katze.jpg',0)
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edges = cv2.Canny(img,100,200)
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img = cv2.imread('Katze.jpg', 0)
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edges = cv2.Canny(img, 100, 200)
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# Gesichtserkennung mit Haarkaskaden
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# Lade die Haarkaskaden von https://github.com/opencv/opencv/blob/master/data/haarcascades/ herunter
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import cv2
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import numpy as np
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face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
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eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
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@ -123,15 +123,15 @@ img = cv2.imread('Mensch.jpg')
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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aces = face_cascade.detectMultiScale(gray, 1.3, 5)
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for (x,y,w,h) in faces:
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cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
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roi_gray = gray[y:y+h, x:x+w]
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roi_color = img[y:y+h, x:x+w]
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for x, y, w, h in faces:
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cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
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roi_gray = gray[y : y + h, x : x + w]
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roi_color = img[y : y + h, x : x + w]
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eyes = eye_cascade.detectMultiScale(roi_gray)
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for (ex,ey,ew,eh) in eyes:
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cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
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for ex, ey, ew, eh in eyes:
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cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
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cv2.imshow('img',img)
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cv2.imshow('img', img)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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@ -141,13 +141,14 @@ cv2.destroyAllWindows()
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```
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### Weiterführende Literatur:
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* Lade Kaskade hier herunter [https://github.com/opencv/opencv/blob/master/data/haarcascades]()
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* OpenCV Zeichenfunktionen [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html]()
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* Eine aktuelle Sprachenreferenz kann hier gefunden werden [https://opencv.org]()
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* Zusätzliche Ressourcen können hier gefunden werden [https://en.wikipedia.org/wiki/OpenCV]()
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* Lade Kaskade hier herunter [https://github.com/opencv/opencv/blob/master/data/haarcascades](https://github.com/opencv/opencv/blob/master/data/haarcascades)
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* 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)
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* Eine aktuelle Sprachenreferenz kann hier gefunden werden [https://opencv.org](https://opencv.org)
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* Zusätzliche Ressourcen können hier gefunden werden [https://en.wikipedia.org/wiki/OpenCV](https://en.wikipedia.org/wiki/OpenCV)
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* Gute OpenCV Tutorials
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* [https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html]()
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* [https://realpython.com/python-opencv-color-spaces]()
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* [https://pyimagesearch.com]()
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* [https://www.learnopencv.com]()
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* [https://docs.opencv.org/master/]()
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* [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)
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* [https://realpython.com/python-opencv-color-spaces](https://realpython.com/python-opencv-color-spaces)
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* [https://pyimagesearch.com](https://pyimagesearch.com)
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* [https://www.learnopencv.com](https://www.learnopencv.com)
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* [https://docs.opencv.org/master/](https://docs.opencv.org/master/)
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@ -9,7 +9,7 @@ contributors:
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OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision.
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Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel).
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Opencv currently supports wide variety of languages like, C++, Python, Java etc
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OpenCV currently supports wide variety of languages like, C++, Python, Java etc
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#### Installation
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Please refer to these articles for installation of OpenCV on your computer.
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@ -27,14 +27,14 @@ img = cv2.imread('cat.jpg')
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# Displaying the image
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# imshow() function is used to display the image
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cv2.imshow('Image',img)
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cv2.imshow('Image', img)
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# Your first arguement is the title of the window and second parameter is image
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# If you are getting error, Object Type None, your image path may be wrong. Please recheck the pack to the image
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cv2.waitKey(0)
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# waitKey() is a keyboard binding function and takes arguement in milliseconds. For GUI events you MUST use waitKey() function.
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# Writing an image
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cv2.imwrite('catgray.png',img)
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cv2.imwrite('catgray.png', img)
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# first arguement is the file name and second is the image
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# Convert image to grayscale
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@ -42,11 +42,11 @@ gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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# Capturing Video from Webcam
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cap = cv2.VideoCapture(0)
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#0 is your camera, if you have multiple camera, you need to enter their id
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while(True):
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# 0 is your camera, if you have multiple camera, you need to enter their id
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while True:
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# Capturing frame-by-frame
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_, frame = cap.read()
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cv2.imshow('Frame',frame)
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cv2.imshow('Frame', frame)
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# When user presses q -> quit
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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@ -55,59 +55,60 @@ cap.release()
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# Playing Video from file
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cap = cv2.VideoCapture('movie.mp4')
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while(cap.isOpened()):
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while cap.isOpened():
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_, frame = cap.read()
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# Play the video in grayscale
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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cv2.imshow('frame',gray)
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cv2.imshow('frame', gray)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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cap.release()
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# Drawing The Line in OpenCV
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# cv2.line(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
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cv2.line(img,(0,0),(511,511),(255,0,0),5)
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# cv2.line(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
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cv2.line(img, (0, 0), (511, 511), (255, 0, 0), 5)
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# Drawing Rectangle
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# cv2.rectangle(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)
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# cv2.rectangle(img, (x,y), (x1,y1), (color->r,g,b->0 to 255), thickness)
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# thickness = -1 used for filling the rectangle
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cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
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cv2.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)
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# Drawing Circle
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cv2.circle(img,(xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
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cv2.circle(img,(200,90), 100, (0,0,255), -1)
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# cv2.circle(img, (xCenter,yCenter), radius, (color->r,g,b->0 to 255), thickness)
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cv2.circle(img, (200, 90), 100, (0, 0, 255), -1)
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# Drawing Ellipse
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cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
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cv2.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)
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# Adding Text On Images
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cv2.putText(img,"Hello World!!!", (x,y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
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cv2.putText(img, "Hello World!!!", (x, y), cv2.FONT_HERSHEY_SIMPLEX, 2, 255)
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# Blending Images
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img1 = cv2.imread('cat.png')
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img2 = cv2.imread('openCV.jpg')
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dst = cv2.addWeighted(img1,0.5,img2,0.5,0)
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dst = cv2.addWeighted(img1, 0.5, img2, 0.5, 0)
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# Thresholding image
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# Binary Thresholding
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_,thresImg = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
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_, thresImg = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
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# Adaptive Thresholding
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adapThres = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,11,2)
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adapThres = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
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# Blur Image
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# Gaussian Blur
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blur = cv2.GaussianBlur(img,(5,5),0)
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blur = cv2.GaussianBlur(img, (5, 5), 0)
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# Median Blur
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medianBlur = cv2.medianBlur(img,5)
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medianBlur = cv2.medianBlur(img, 5)
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# Canny Edge Detection
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img = cv2.imread('cat.jpg',0)
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edges = cv2.Canny(img,100,200)
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img = cv2.imread('cat.jpg', 0)
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edges = cv2.Canny(img, 100, 200)
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# Face Detection using Haar Cascades
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# Download Haar Cascades from https://github.com/opencv/opencv/blob/master/data/haarcascades/
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import cv2
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import numpy as np
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face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
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eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
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@ -115,17 +116,17 @@ img = cv2.imread('human.jpg')
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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faces = face_cascade.detectMultiScale(gray, 1.3, 5)
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for (x,y,w,h) in faces:
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for x, y, w, h in faces:
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# Draw a rectangle around detected face
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cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
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roi_gray = gray[y:y+h, x:x+w]
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roi_color = img[y:y+h, x:x+w]
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cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
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roi_gray = gray[y : y + h, x : x + w]
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roi_color = img[y : y + h, x : x + w]
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eyes = eye_cascade.detectMultiScale(roi_gray)
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for (ex,ey,ew,eh) in eyes:
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for ex, ey, ew, eh in eyes:
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# Draw a rectangle around detected eyes
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cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
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cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
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cv2.imshow('img',img)
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cv2.imshow('img', img)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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@ -139,7 +140,7 @@ cv2.destroyAllWindows()
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* 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)
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* An up-to-date language reference can be found at [https://opencv.org](https://opencv.org)
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* Additional resources may be found at [https://en.wikipedia.org/wiki/OpenCV](https://en.wikipedia.org/wiki/OpenCV)
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* Good OpenCv Tutorials
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* 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)
|
||||
|
||||
@ -8,18 +8,18 @@ translators:
|
||||
- ["GengchenXU", "https://github.com/GengchenXU"]
|
||||
lang: zh-cn
|
||||
---
|
||||
### Opencv
|
||||
|
||||
Opencv（开源计算机视觉）是一个编程功能库，主要面向实时计算机视觉。最初由英特尔开发，后来由Willow Garage，然后Itseez（后来被英特尔收购）支持。Opencv 目前支持多种语言，如C++、Python、Java 等
|
||||
OpenCV（开源计算机视觉）是一个编程功能库，主要面向实时计算机视觉。最初由英特尔开发，后来由Willow Garage，然后Itseez（后来被英特尔收购）支持。OpenCV 目前支持多种语言，如C++、Python、Java 等
|
||||
|
||||
#### 安装
|
||||
|
||||
有关在计算机上安装 OpenCV，请参阅这些文章。
|
||||
|
||||
* Windows 安装说明： [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 安装说明 (High Sierra): [https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a]()
|
||||
* Linux 安装说明 （Ubuntu 18.04): [https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv]()
|
||||
* [Windows 安装说明](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 安装说明](https://medium.com/@nuwanprabhath/installing-opencv-in-macos-high-sierra-for-python-3-89c79f0a246a) (High Sierra)
|
||||
* [Linux 安装说明](https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv) （Ubuntu 18.04)
|
||||
|
||||
### 在这里，我们将专注于 OpenCV 的 python 实现
|
||||
### 在这里，我们将专注于 OpenCV 的 Python 实现
|
||||
|
||||
```python
|
||||
# OpenCV读取图片
|
||||
@ -28,14 +28,14 @@ img = cv2.imread('cat.jpg')
|
||||
|
||||
# 显示图片
|
||||
# imshow() 函数被用来显示图片
|
||||
cv2.imshow('Image',img)
|
||||
cv2.imshow('Image', img)
|
||||
# 第一个参数是窗口的标题，第二个参数是image
|
||||
# 如果你得到错误，对象类型为None，你的图像路径可能是错误的。请重新检查图像包
|
||||
cv2.waitKey(0)
|
||||
# waitKey() 是一个键盘绑定函数，参数以毫秒为单位。对于GUI事件，必须使用waitKey()函数。
|
||||
|
||||
# 保存图片
|
||||
cv2.imwrite('catgray.png',img)
|
||||
cv2.imwrite('catgray.png', img)
|
||||
# 第一个参数是文件名，第二个参数是图像
|
||||
|
||||
# 转换图像灰度
|
||||
@ -43,11 +43,11 @@ gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
|
||||
|
||||
# 从摄像头捕捉视频
|
||||
cap = cv2.VideoCapture(0)
|
||||
#0 是你的相机，如果你有多台相机，你需要输入他们的id
|
||||
while(True):
|
||||
# 0 是你的相机，如果你有多台相机，你需要输入他们的id
|
||||
while True:
|
||||
# 一帧一帧地获取
|
||||
_, frame = cap.read()
|
||||
cv2.imshow('Frame',frame)
|
||||
cv2.imshow('Frame', frame)
|
||||
# 当用户按下q ->退出
|
||||
if cv2.waitKey(1) & 0xFF == ord('q'):
|
||||
break
|
||||
@ -56,54 +56,54 @@ cap.release()
|
||||
|
||||
# 在文件中播放视频
|
||||
cap = cv2.VideoCapture('movie.mp4')
|
||||
while(cap.isOpened()):
|
||||
while cap.isOpened():
|
||||
_, frame = cap.read()
|
||||
# 灰度播放视频
|
||||
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()
|
||||
|
||||
# 在OpenCV中画线
|
||||
# cv2.line(img,(x,y),(x1,y1),(color->r,g,b->0 to 255),thickness)(注 color颜色rgb参数 thickness粗细)
|
||||
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)(注 color颜色rgb参数 thickness粗细)
|
||||
cv2.line(img, (0, 0), (511, 511), (255, 0, 0), 5)
|
||||
|
||||
# 画矩形
|
||||
# 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)
|
||||
# 粗细= -1用于填充矩形
|
||||
cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
|
||||
cv2.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)
|
||||
|
||||
# 画圆
|
||||
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)
|
||||
|
||||
# 画椭圆
|
||||
cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1)
|
||||
cv2.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)
|
||||
|
||||
# 在图像上增加文字
|
||||
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)
|
||||
|
||||
# 合成图像
|
||||
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)
|
||||
|
||||
# 阈值图像
|
||||
# 二进制阈值
|
||||
_,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)
|
||||
|
||||
# 模糊的形象
|
||||
# 高斯模糊
|
||||
blur = cv2.GaussianBlur(img,(5,5),0)
|
||||
blur = cv2.GaussianBlur(img, (5, 5), 0)
|
||||
# 模糊中值
|
||||
medianBlur = cv2.medianBlur(img,5)
|
||||
medianBlur = cv2.medianBlur(img, 5)
|
||||
|
||||
# Canny 边缘检测
|
||||
img = cv2.imread('cat.jpg',0)
|
||||
edges = cv2.Canny(img,100,200)
|
||||
img = cv2.imread('cat.jpg', 0)
|
||||
edges = cv2.Canny(img, 100, 200)
|
||||
|
||||
# 用Haar Cascades进行人脸检测
|
||||
# 下载 Haar Cascades 在 https://github.com/opencv/opencv/blob/master/data/haarcascades/
|
||||
@ -116,15 +116,15 @@ img = cv2.imread('human.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()
|
||||
@ -134,12 +134,12 @@ cv2.destroyAllWindows()
|
||||
|
||||
### 进一步阅读：
|
||||
|
||||
* Download Cascade from [https://github.com/opencv/opencv/blob/master/data/haarcascades]()
|
||||
* OpenCV 绘图函数 [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html]()
|
||||
* 最新的语言参考 [https://opencv.org]()
|
||||
* 更多的资源 [https://en.wikipedia.org/wiki/OpenCV]()
|
||||
* Download Cascade from [https://github.com/opencv/opencv/blob/master/data/haarcascades](https://github.com/opencv/opencv/blob/master/data/haarcascades)
|
||||
* OpenCV 绘图函数 [https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html](https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html)
|
||||
* 最新的语言参考 [https://opencv.org](https://opencv.org)
|
||||
* 更多的资源 [https://en.wikipedia.org/wiki/OpenCV](https://en.wikipedia.org/wiki/OpenCV)
|
||||
* 优秀的的 OpenCV 教程
|
||||
* [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://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)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user