def resize(fname,width,height): #resize image
image = cv2.imread(fname) # read image
cv2.inshow('Original image', image)
cv2.waitKey(0)
org_height,org_width = image.shape[0:2]
print('width: ' , org_width)
print('height: ' , org_height)
if org_width>=org_height:
new_image = cv2.resize(image, (width,height))
else:
new_image = cv2.resize(image, (height,width)) #swap height and width if height is greater than width
return fname, new_image
import cv2
image = cv2.imread("D:\PICTURES\ttu.png")
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
inverted = 255 - gray_image
blur = cv2.GaussianBlur(inverted, (21, 21), 0)
invertedblur = 255 - blur
sketch = cv2.divide(gray_image, invertedblur, scale=256.0)
cv2.imwrite("Sketch.png", sketch)
cv2.inshow("ttu.png", sketch)
from google.colab.patches import cv2_imshow
!curl -o logo.png https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ3RcBlEJoJMeF5bmNqATwYE0UoyacHkuchjeHnE3Y4QPWF8smp
import cv2
img = cv2.imread('logo.png', cv2.IMREAD_UNCHANGED)
cv2_imshow(img)
# import cv2
# Starting camara
cap=cv2.VideoCapture(0)
while cap.isOpened():
status,frame=cap.read()
# Converting image frame into gray scale
grayimg=cv2.cvtColor(frame,cv2.COLOR_BG2GRAY)
print(frame.shape)
cv2.inshow('live',frame)
cv2.inshow('livegray',grayimg)
if cv2.waitKey(10) & 0xff==ord('q'):
break
cv2.destroyAllWindows()
cv2.release()
# to draw patterns
cap=cv2.VideoCapture(0)
while cap.isOpened():
status,frame=cap.read()
# Converting image frame into gray scale
grayimg=cv2.cvtColor(frame,cv2.COLOR_BG2GRAY)
print(frame.shape)
# Run pip install opencv-python
# Run pip install dlib
import cv2
import dlib
# Get camera
cap = cv2.VideoCapture(0)
detector = dlib.get_frontal_face_detector()
# Run this code until esc key is pressed
while True:
_, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = detector(gray)
for face in faces:
x, y = face.left(), face.top()
x1, y1 = face.right(), face.bottom()
cv2.rectangle(frame, (x, y), (x1, y1), (0, 255, 0), 2)
cv2.inshow("Frame", frame)
key = cv2.waitkey(1)
if key == 27:
break
cap.realease()
cap.destroyAllWindows()
int (image read mode, 0 is grayscale, 1 is color)
"""
img_grey = cv2.imread('2.jpg', 0)
img_color = cv2.imread('2.jpg', 1)
"""
function name: imshow
purpose: shows an image, may have issues on Macs
parameters:
string (name of image)
cv2 image
"""
cv2.imshow('image_grey', img_grey)
cv2.waitKey(0)
# positive number is milliseconds the img is shown
# 0 waits for any key to be pressed
cv2.inshow('image_color', img_color)
cv2.waitKey(0)
cv2.destroyAllWindows()
"""
function name: imwrite
purpose: writes an image to specified file name
parameters:
string (name of new image)
cv2 image
"""
cv2.imwrite('new_name.jpg', img_grey)
while (capture.isOpened()):
stime =time.time()
retframe =capture.read()
result =tfnet.return_predict(frame)
if ret :
for color, result in zip(colors,results):
tl = (result['topleft']['x'],result['topleft']['y'])
br = (result['bottomright']['x'],result['bottomright']['y'])
label =result['label']
frame =cv2.rectangle(frame,tl,br,color,7)
frame =cv2.putText(frame,label,tl,cv2.FONT_HERSHEY_COMPLEX,1,(0,200,2),2)
cv2.inshow('frame',frame)
print('FPS {:.1f}'.format(1 / (time.time() - stime)))
if cv2.waitKey(1)& 0xFF == ord('q') :
break
else:
capture.release()
cv2.destroyAllWindows()
print("the time is " + strTime)
elif 'whats the temperature' in query:
res = app.query(query)
speak(next(res.results).text)
elif 'Calculater' in query:
speak("what should i calculatre?")
gh = takecommand().lower()
res = app.query(gh)
speak(next(res.results).text)
elif "open camera" in query:
nar = cv2.Videocapture(0)
while True:
cv2.inshow('camera,img')
k = cv2.waitkey(58)
if k == 27:
break
nar.release()
cv2.destroyAllwindows()
elif "ip address" in query:
ip = get("https://api.ipify.org").text
speak(f"your IP address is {ip}")
print(f"your IP address is {ip} ")
elif "take screenshot" in query or "take a screenshot" in query:
speak("sir, please tell me the name for this screenshot file")
name = takeCommand().lower()
speak(