Solve Problems by Coding Solutions - A Complete solution for python programming
import cv2
import numpy as np
# capturing first camera
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
# Capturing grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame', frame)
cv2.imshow('gray', gray)
# Program will terminate when 'q' key is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Releasing resources
cap.release()
cv2.destroyAllWindows()
from tkinter import *
window = Tk()
def from_kg():
gram = float(e2_value.get())*1000
pound = float(e2_value.get())*2.20462
ounce = float(e2_value.get())*35.274
t1.delete("1.0", END)
t1.insert(END,gram)
t2.delete("1.0", END)
t2.insert(END,pound)
t3.delete("1.0", END)
t3.insert(END,ounce)
e1 = Label(window, text = "Enter the weight in Kg")
e2_value = StringVar()
e2 = Entry(window, textvariable = e2_value)
e3 = Label(window, text = 'Gram')
e4 = Label(window, text = 'Pounds')
e5 = Label(window, text = 'Ounce')
t1 = Text(window, height = 1, width = 20)
t2 = Text(window, height = 1, width = 20)
t3 = Text(window, height = 1, width = 20)
b1 = Button(window, text = "Convert", command = from_kg)
e1.grid(row = 0, column = 0)
e2.grid(row = 0, column = 1)
e3.grid(row = 1, column = 0)
e4.grid(row = 1, column = 1)
e5.grid(row = 1, column = 2)
t1.grid(row = 2, column = 0)
t2.grid(row = 2, column = 1)
t3.grid(row = 2, column = 2)
b1.grid(row = 0, column = 2)
window.mainloop()
import cv2
import numpy as np
import dlib
cap = cv2.VideoCapture(0)
# Detect the coordinates
detector = dlib.get_frontal_face_detector()
while True:
# Capture frame-by-frame
ret, frame = cap.read()
frame = cv2.flip(frame, 1)
# RGB to grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = detector(gray)
i = 0
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)
i = i+1
cv2.putText(frame, 'face num'+str(i), (x-10, y-10),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
print(face, i)
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
import turtle
def moving_object(move):
move.fillcolor('Purple')
move.begin_fill()
move.circle(10)
move.end_fill()
if __name__ == "__main__" :
screen = turtle.Screen()
screen.setup(600,600)
# screen background color
screen.bgcolor('white')
screen.tracer(0)
move = turtle.Turtle()
move.color('Purple')
move.speed(0)
move.width(2)
move.hideturtle()
move.penup()
move.goto(-250, 0)
move.pendown()
while True :
move.clear()
moving_object(move)
screen.update()
move.forward(0.5)
#Color Detection
import numpy as np
import cv2
# Capturing video through webcam
webcam = cv2.VideoCapture(0)
while(1):
_, imageFrame = webcam.read()
# Convert the imageFrame in
# BGR(RGB color space) to
# HSV(hue-saturation-value)
# color space
hsvFrame = cv2.cvtColor(imageFrame, cv2.COLOR_BGR2HSV)
red_lower = np.array([136, 87, 111], np.uint8)
red_upper = np.array([180, 255, 255], np.uint8)
red_mask = cv2.inRange(hsvFrame, red_lower, red_upper)
green_lower = np.array([25, 52, 72], np.uint8)
green_upper = np.array([102, 255, 255], np.uint8)
green_mask = cv2.inRange(hsvFrame, green_lower, green_upper)
blue_lower = np.array([94, 80, 2], np.uint8)
blue_upper = np.array([120, 255, 255], np.uint8)
blue_mask = cv2.inRange(hsvFrame, blue_lower, blue_upper)
kernal = np.ones((5, 5), "uint8")
red_mask = cv2.dilate(red_mask, kernal)
res_red = cv2.bitwise_and(imageFrame, imageFrame,
mask = red_mask)
green_mask = cv2.dilate(green_mask, kernal)
res_green = cv2.bitwise_and(imageFrame, imageFrame,
mask = green_mask)
blue_mask = cv2.dilate(blue_mask, kernal)
res_blue = cv2.bitwise_and(imageFrame, imageFrame,
mask = blue_mask)
contours, hierarchy = cv2.findContours(red_mask,
cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
for pic, contour in enumerate(contours):
area = cv2.contourArea(contour)
if(area > 300):
x, y, w, h = cv2.boundingRect(contour)
imageFrame = cv2.rectangle(imageFrame, (x, y),
(x + w, y + h),
(0, 0, 255), 2)
cv2.putText(imageFrame, "Red Colour", (x, y),
cv2.FONT_HERSHEY_SIMPLEX, 1.0,
(0, 0, 255))
contours, hierarchy = cv2.findContours(green_mask,
cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
for pic, contour in enumerate(contours):
area = cv2.contourArea(contour)
if(area > 300):
x, y, w, h = cv2.boundingRect(contour)
imageFrame = cv2.rectangle(imageFrame, (x, y),
(x + w, y + h),
(0, 255, 0), 2)
cv2.putText(imageFrame, "Green Colour", (x, y),
cv2.FONT_HERSHEY_SIMPLEX,
1.0, (0, 255, 0))
contours, hierarchy = cv2.findContours(blue_mask,
cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
for pic, contour in enumerate(contours):
area = cv2.contourArea(contour)
if(area > 300):
x, y, w, h = cv2.boundingRect(contour)
imageFrame = cv2.rectangle(imageFrame, (x, y),
(x + w, y + h),
(255, 0, 0), 2)
cv2.putText(imageFrame, "Blue Colour", (x, y),
cv2.FONT_HERSHEY_SIMPLEX,
1.0, (255, 0, 0))
# Program Termination
cv2.imshow("Multiple Color Detection in Real-TIme", imageFrame)
if cv2.waitKey(1) & 0xFF == ord('q'):
cap.release()
cv2.destroyAllWindows()
break