vi .config/lxsession/LXDE-pi/autostart
@/bin/sh /home/pi/opencv_script.sh
import cv2
import numpy as np
global px,py
drawing = False # true if mouse is pressed
mode = True # if True, draw rectangle. Press 'm' to toggle to curve
ix,iy = -1,-1
# mouse callback function
def draw_circle(event,x,y,flags,param):
global ix,iy,drawing,mode
#Click
if event == cv2.EVENT_LBUTTONDOWN:
drawing = True
ix,iy = x,y
print "ix=",ix,"iy=",iy
elif event == cv2.EVENT_LBUTTONUP:
drawing = False
if mode == True:
cv2.rectangle(img,(ix,iy),(x,y),(0,255,255),0)
img = cv2.imread('room.jpg')
cv2.namedWindow('image')
cv2.setMouseCallback('image',draw_circle)
while(1):
cv2.imshow('image',img)
k = cv2.waitKey(1) & 0xFF
if k == ord('m'):
mode = not mode
elif k == 27:
break
cv2.destroyAllWindows()
sudo apt-get update sudo apt-get upgrade sudo rpi-update
sudo apt-get install build-essential cmake pkg-config
sudo apt-get install libjpeg8-dev libtiff4-dev libjasper-dev libpng12-dev
sudo apt-get install libgtk2.0-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install libatlas-base-dev gfortran
wget https://bootstrap.pypa.io/get-pip.py sudo python get-pip.py
sudo apt-get install python2.7-dev
我們也需要安裝NumPy,因為OpenCV的Python接口通過Numpy的多維數組來表示圖像pip install numpy
wget http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.9/opencv-2.4.9.zip unzip opencv-2.4.9.zip cd opencv-2.4.9
mkdir build cd build cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D BUILD_NEW_PYTHON_SUPPORT=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON ..編譯OpenCV 編譯OpenCV
make
sudo make install
import cv2
import numpy as np
def nothing(x):
pass
# Create a black image, a window
img = np.zeros((300,512,3), np.uint8)
cv2.namedWindow('image')
# create trackbars for color change
cv2.createTrackbar('R','image',0,255,nothing)
cv2.createTrackbar('G','image',0,255,nothing)
cv2.createTrackbar('B','image',0,255,nothing)
# create switch for ON/OFF functionality
switch = '0 : OFF \n1 : ON'
cv2.createTrackbar(switch, 'image',0,1,nothing)
while(1):
cv2.imshow('image',img)
k = cv2.waitKey(1) & 0xFF
if k == 27:
break
# get current positions of four trackbars
r = cv2.getTrackbarPos('R','image')
g = cv2.getTrackbarPos('G','image')
b = cv2.getTrackbarPos('B','image')
print " R=",r,
print " G=",g,
print " B=",b
s = cv2.getTrackbarPos(switch,'image')
if s == 0:
img[:] = 0
else:
img[:] = [b,g,r]
cv2.destroyAllWindows()
import cv2
import numpy as np
img = np.zeros((512,512,3), np.uint8)
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img,'OpenCV',(10,500), font, 4,(255,255,255),2,cv2.CV_AA)
cv2.namedWindow('image')
while(1):
cv2.imshow('image',img)
if cv2.waitKey(20) & 0xFF == 27:
break
cv2.destroyAllWindows()
參考資料：import cv2
import numpy as np
def track(frame):
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
cv2.imshow('hsv',hsv)
# define range of blue color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])
# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)
moments = cv2.moments(mask)
m00 = moments['m00']
centroid_x, centroid_y = None, None
if m00 != 0:
centroid_x = int(moments['m10']/m00)#Take X coordinate
centroid_y = int(moments['m01']/m00)#Take Y coordinate
print 'x=',centroid_x,
print 'y=',centroid_y
ctr = (-1,-1)
if centroid_x != None and centroid_y !=None:
ctr = (centroid_x, centroid_y)
# Put black circle in at centroid in image
cv2.circle(frame, ctr, 15, (0,0,255))
# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)
#cv2.imshow('mask',mask)
#cv2.imshow('res',res)
cv2.imshow('frame',frame)
return ctr
#cv2.destroyAllWindows()
if __name__ == '__main__':
cap = cv2.VideoCapture(0)
while True:
# Take each frame
_, frame = cap.read()
track(frame)
if cv2.waitKey(1) & 0xFF == 27:
break
參考資料：
http://blog.csdn.net/fengbingchun/article/details/6938895
import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
img = cv2.imread('face.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 3)
for (x,y,w,h) in faces:
img2 = 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)
cv2.destroyAllWindows()
ps -aux |grep mjpg
sudo killall mjpg_streamer
# import the necessary packages
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2
# initialize the camera and grab a reference to the raw camera capture
camera = PiCamera()
camera.resolution = (160,120)
camera.framerate = 32
rawCapture = PiRGBArray(camera)
# capture frames from the camera
for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
# grab the raw NumPy array representing the image, then initialize the timestamp
# and occupied/unoccupied text
image = frame.array
# show the frame
cv2.imshow("Frame", image)
# clear the stream in preparation for the next frame
rawCapture.truncate(0)
# if the `q` key was pressed, break from the loop
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
參考資料：
http://www.pyimagesearch.com/2015/03/30/accessing-the-raspberry-pi-camera-with-opencv-and-python/
http://picamera.readthedocs.org/en/latest/recipes1.html#capturing-to-a-stream
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
cv2.imshow('frame',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
import numpy as np
import cv2
cap = cv2 . VideoCapture ( 'vtest.avi' )
while ( cap . isOpened ()):
ret , frame = cap . read ()
gray = cv2 . cvtColor ( frame , cv2 . COLOR_BGR2GRAY )
cv2 . imshow ( 'frame' , gray )
if cv2 . waitKey ( 1 ) & 0xFF == ord ( 'q' ):
break
cap . release ()
cv2 . destroyAllWindows ()
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
# Define the codec and create VideoWriter object
fourcc = cv2.cv.CV_FOURCC('m', 'p', '4', 'v')
out = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480))
while(cap.isOpened()):
ret, frame = cap.read()
if ret==True:
frame = cv2.flip(frame,0)
# write the flipped frame
out.write(frame)
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
break
# Release everything if job is finished
cap.release()
out.release()
cv2.destroyAllWindows()
import cv2
import numpy as np
WINDOW_NAME=("WEBCAM")
webcam = cv2.VideoCapture(0)
#Read Shooting images
while 1:
ret, Shooting_images = webcam.read()
cv2.imshow(WINDOW_NAME,Shooting_images)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
#press ESC leave
cv2.destroyAllWindows()
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
fgbg = cv2.BackgroundSubtractorMOG()
while(1):
ret, frame = cap.read()
fgmask = fgbg.apply(frame)
cv2.imshow('frame',fgmask)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
import cv2 import numpy as np #create a VideoCapture object cap = cv2.VideoCapture(0) while(1): # Capture Video from Camera _, frame = cap.read() # Convert BGR to HSV hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) # define range of blue color in HSV lower_blue = np.array([110,50,50]) upper_blue = np.array([130,255,255]) # define range of green color in HSV lower_green = np.array([50,100,100]) upper_green = np.array([70,255,255]) # define range of red color in HSV lower_red = np.array([-10,100,100]) upper_red = np.array([10,255,255]) # Threshold the HSV image to get only blue colors mask_blue = cv2.inRange(hsv, lower_blue, upper_blue) # Threshold the HSV image to get only green colors mask_green = cv2.inRange(hsv, lower_green, upper_green) # Threshold the HSV image to get only red colors mask_red = cv2.inRange(hsv, lower_red, upper_red) # Bitwise-AND mask and original image res_blue = cv2.bitwise_and(frame,frame, mask= mask_blue) res_green = cv2.bitwise_and(frame,frame, mask= mask_green) res_red = cv2.bitwise_and(frame,frame, mask= mask_red) cv2.imshow('frame',frame) cv2.imshow('mask_blue)',mask_blue) cv2.imshow('mask_green',mask_green) cv2.imshow('mask_red',mask_red) cv2.imshow('res_blue',res_blue) cv2.imshow('res_green',res_green) cv2.imshow('res_red',res_red) k = cv2.waitKey(5) & 0xFF if k == 27: break cv2.destroyAllWindows()
import cv2
import numpy as np
img=cv2.imread("cat.jpg")
emptyImage1 = cv2.GaussianBlur(img, (5,5),0)
emptyImage2 = img.copy()
emptyImage3 = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)#turn gray
#emptyImage3[...]=0
#Window display image
cv2.imshow("Image1",emptyImage1)
cv2.imshow("Image2",img)
cv2.imshow("Image3",emptyImage2)
cv2.imshow("Image4",emptyImage3)
#save image
cv2.imwrite("./cat1.png",img,[int(cv2.IMWRITE_PNG_COMPRESSION), 0])
cv2.imwrite("./cat2.png",img, [int(cv2.IMWRITE_PNG_COMPRESSION), 9])
k=cv2.waitKey(0)
#Press ESC to leave
if k==27:
cv2.destroyAllWindows("Image1")
