OpenCV dengan Python

Transkripsi

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2 OpenCV dengan Python

3 A. Daftar Isi

4 B. Pendahuluan

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6 C. Download dan Instalasi

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8 D. Mengolah Image

9 Jika tidak diberi ekstensi *.py maka kode yang diketik tidak berwarna. Maka jangan lupa untuk menambah *.py di akhir nama file. Load dan Menyimpang Image import cv2 image = cv2.imread('hebat.png') cv2.imwrite('mypic.jpg', image)

10 Konversi Warna Image

11 grayimage = cv2.imread('mypic.png', cv2.cv_load_image_grayscale) atau img =cv2.cvtcolor(img, cv2.color_bgr2gray) import cv2 image = cv2.imread('hebat.png', cv2.cv_load_image_grayscale) cv2.imwrite('mypic.jpg', image) import cv2 image = cv2.imread('hebat.png') gray = cv2.cvtcolor(image, cv2.color_bgr2gray) cv2.imwrite('mypic.jpg', gray) Menampilkan Image

12 cv2.imshow('aa',image) cv2.waitkey(0) cv2.destroyallwindows() import cv2 image = cv2.imread('hebat.png') cv2.imshow('tampil Image', image) cv2.waitkey(0) cv2.destroyallwindows() Ambil Image dari WebCam cap = cv2.videocapture(0) ret,frame=cap.read() import cv2

13 cap = cv2.videocapture(0) ret,frame=cap.read() cv2.imwrite('a.png',frame) cv2.imshow('frame',frame) cv2.waitkey(0) cv2.destroyallwindows()

14 E. Mengolah Video Play Video dari WebCam cap = cv2.videocapture(0) while(true): ret, frame = cap.read() cv2.imshow('hasil Capture', frame) if cv2.waitkey(1) & 0xFF == ord('q'): break cap.release() cv2.destroyallwindows() import cv2 cap = cv2.videocapture(0) while(true): # Tangkap frame per frame ret, frame = cap.read() # RGB diubah ke GrayScale gray = cv2.cvtcolor(frame, cv2.color_bgr2gray)

15 # Gambar disimpan dengan nama 'tankap.png' cv2.imwrite('tangkaprgb.png',frame) cv2.imwrite('tangkapgray.png',gray) # Citra ditampilkan per frame cv2.imshow('frame',gray) # Tutup Webcam dengan tombol ESC atau q if cv2.waitkey(1) & 0xFF == ord('q'): break # Jalankan capture cap.release() cv2.destroyallwindows() #Tampilkan hasil capture setelah webcam ditutup hasilrgb=cv2.imread('tangkaprgb.png') hasilgray=cv2.imread('tangkapgray.png') cv2.imshow('rgb',hasilrgb) cv2.imshow('gray',hasilgray) cv2.waitkey(0) cv2.destroyallwindows()

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18 Play Video dari File cap = cv2.videocapture(0) diganti dengan cap = cv2.videocapture( C:\Users\Public\Videos\Sample Videos\Wildlife.wma ) import cv2 cap = cv2.videocapture('c:\users\writer\videos\wildlife.mp4') while(true): # Tangkap frame per frame ret, frame = cap.read() # RGB diubah ke GrayScale gray = cv2.cvtcolor(frame, cv2.color_bgr2gray) # Gambar disimpan dengan nama 'tankap.png' cv2.imwrite('tangkapgray.png',gray) # Citra ditampilkan per frame

19 cv2.imshow('frame',gray) # Tutup Webcam dengan tombol ESC atau q if cv2.waitkey(1) & 0xFF == ord('q'): break # Jalankan capture cap.release() cv2.destroyallwindows() Save Video dari Webcam dan File

20 import cv2 cap = cv2.videocapture(0) # Definisikan codex (format video) fourcc = cv2.cv.cv_fourcc(*'xvid') # cv2.videowriter(['nama file',[nilai fourcc],[nilai fps],[nilai lebar,panjang]) out = cv2.videowriter('output.avi', fourcc, 5, (640,480)) while(cap.isopened()): ret, frame = cap.read() if ret==true: out.write(frame) # Tampilkan hasil capture webcam cv2.imshow('hasil Capture',frame) if cv2.waitkey(1) & 0xFF == ord('q'): break else: break # Jalankan capture cap.release() out.release() cv2.destroyallwindows() jika berupa file dari drive, maka hanya mengganti cap = cv2.videocapture(0) dengan cap = cv2.videocapture( address_file.avi )

21 import cv2 cap = cv2.videocapture(0) # Definisikan codex (format video) fourcc = cv2.cv.cv_fourcc(*'divx') # cv2.videowriter(['nama file',[nilai fourcc],[nilai fps],[nilai lebar,panjang]) out = cv2.videowriter('output.avi', fourcc, 5, (640,480)) raw_input('tekan enter untuk mulai dan esc untuk saving dan keluar') while(cap.isopened()): ret, frame = cap.read() if ret==true:

22 # Mengatur derajat putar frame = cv2.flip(frame,180) # Mencetak frame ke out out.write(frame) # Tampilkan hasil capture webcam cv2.imshow('hasil Capture',frame) if cv2.waitkey(1) & 0xFF == ord('q'): break else: break # Jalankan capture cap.release() out.release() cv2.destroyallwindows() ###PLAY (Copas dari file PlayVideo_File.py) #import cv2 cap = cv2.videocapture('output.avi') while(true): # Tangkap frame per frame ret, frame = cap.read() # RGB diubah ke GrayScale

23 gray = cv2.cvtcolor(frame, cv2.color_bgr2gray) # Gambar disimpan dengan nama 'tankap.png' cv2.imwrite('tangkapgray.png',gray) # Citra ditampilkan per frame cv2.imshow('hasil Tangkap Frame Hasilkan Video',gray) # Tutup Webcam dengan tombol ESC atau q if cv2.waitkey(1) & 0xFF == ord('q'): break # Jalankan capture cap.release() cv2.destroyallwindows() Realtime untuk Image dan Video

24 import cv2 cap = cv2.videocapture(0) while(true): ret, frame = cap.read() gray = cv2.cvtcolor(frame, cv2.color_bgr2gray) hsv = cv2.cvtcolor(frame, cv2.color_bgr2hsv) #Canny canny = cv2.canny(frame,100,200) #Tampilkan semua capture cv2.imshow('hasil Capture', frame) cv2.imshow('hasil Gray',gray) cv2.imshow('hasil HSV',hsv) cv2.imshow('hasil Canny',canny) #Simpan capture cv2.imwrite('realtimergb.jpg',frame) cv2.imwrite('realtimegray.jpg',gray) cv2.imwrite('realtimehsv.jpg',hsv) cv2.imwrite('realtimecanny.jpg',canny) #Tutup window saat ditekan tombol "q" if cv2.waitkey(1) & 0xFF == ord('q'): break

25 #Jalankan capture cap.release() cv2.destroyallwindows()

26 F. Deteksi Wajah dengan Haar Cascade import cv2 face_cascade = cv2.cascadeclassifier('e:\opencv\sources\data\haarcascades\haarcasca de_frontalface_default.xml') eye_cascade = cv2.cascadeclassifier('e:\opencv\sources\data\haarcascades\haarcasca de_eye.xml') img = cv2.imread('foto.jpg') gray = cv2.cvtcolor(img, cv2.color_bgr2gray) faces = 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] 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) cv2.imshow('img',img) cv2.waitkey(0)

27 cv2.destroyallwindows() import cv2 face_cascade = cv2.cascadeclassifier('e:\opencv\sources\data\haarcascades\haarcasca de_frontalface_default.xml') eye_cascade = cv2.cascadeclassifier('e:\opencv\sources\data\haarcascades\haarcasca de_eye.xml') mouth_cascade = cv2.cascadeclassifier('e:\opencv\sources\data\haarcascades\haarcasca de_mcs_mouth.xml') nose_cascade = cv2.cascadeclassifier('e:\opencv\sources\data\haarcascades\haarcasca

28 de_mcs_nose.xml') img = cv2.imread('foto.jpg') gray = cv2.cvtcolor(img, cv2.color_bgr2gray) faces = 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] eyes = eye_cascade.detectmultiscale(roi_gray) nose = nose_cascade.detectmultiscale(roi_gray) mouth = mouth_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 (nx, ny, nw, nh) in nose: cv2.rectangle(roi_color, (nx, ny), (nx + nw, ny + nh), (0, 0, 255), 2) for (mx, my, mw, mh) in mouth: cv2.rectangle(roi_color, (mx, my), (mx + mw, my + mh), (0, 0, 0), 2) cv2.imshow('img',img) cv2.waitkey(0) cv2.destroyallwindows()

29 Realtime untuk Harr Cascade import cv2 face_cascade = cv2.cascadeclassifier('e:\opencv\sources\data\haarcascades\haarcasca de_frontalface_default.xml') eye_cascade = cv2.cascadeclassifier('e:\opencv\sources\data\haarcascades\haarcasca de_eye.xml') cap = cv2.videocapture(0) while(true): # Tangkap frame per frame ret, frame = cap.read() gray = cv2.cvtcolor(frame, cv2.color_bgr2gray)

30 faces = face_cascade.detectmultiscale(gray, 1.3, 5) for (x,y,w,h) in faces: cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2) roi_gray = gray[y:y+h, x:x+w] roi_color = frame[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) # Citra ditampilkan per frame cv2.imshow('frame',frame) # Tutup Webcam dengan tombol ESC atau q if cv2.waitkey(1) & 0xFF == ord('q'): break # Jalankan capture cap.release() cv2.destroyallwindows()

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32 G. Kesimpulan

33 H. Daftar Pustaka

34 I. Penulis