pknowledge

@ECHO OFF
if EXIST "Control Panel.{21EC2020-3AEA-1069-A2DD-08002B30309D}" goto UNLOCK
if NOT EXIST Private goto MDPrivate
:CONFIRM
echo Are you sure to lock this folder? (Y/N)
set/p "cho=>"
if %cho%==Y goto LOCK
if %cho%==y goto LOCK
if %cho%==n goto END
if %cho%==N goto END

pknowledge

import cv2
import numpy as np
img = cv2.imread('road.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray,50,150,apertureSize = 3)
cv2.imshow('edges', edges)
lines = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength=100,maxLineGap=10)
for line in lines:
    x1,y1,x2,y2 = line[0]
    cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)

pknowledge

version: '3.8'

services:
  sql:
    image: mcr.microsoft.com/azure-sql-edge
    container_name: sql
    ports:
      - "1433:1433"
    environment:
      ACCEPT_EULA: "1"

pknowledge

import cv2
import numpy as np

cap = cv2.VideoCapture('vtest.avi')
frame_width = int( cap.get(cv2.CAP_PROP_FRAME_WIDTH))

frame_height =int( cap.get( cv2.CAP_PROP_FRAME_HEIGHT))

fourcc = cv2.VideoWriter_fourcc('X','V','I','D')

pknowledge

import cv2
import numpy as np
img = cv2.imread("messi5.jpg")
grey_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
template = cv2.imread("messi_face.jpg", 0)
w, h = template.shape[::-1]

res = cv2.matchTemplate(grey_img, template, cv2.TM_CCORR_NORMED )
print(res)
threshold = 0.99;

pknowledge

import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
# Read the input image
#img = cv2.imread('test.png')
cap = cv2.VideoCapture('test.mp4')

while cap.isOpened():
    _, img = cap.read()

pknowledge

import cv2
import numpy as np

img = cv2.imread('sudoku.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray, 50, 150, apertureSize=3)
cv2.imshow('edges', edges)
lines = cv2.HoughLines(edges, 1, np.pi / 180, 200)

for line in lines:

pknowledge

import matplotlib.pylab as plt
import cv2
import numpy as np

def region_of_interest(img, vertices):
    mask = np.zeros_like(img)
    #channel_count = img.shape[2]
    match_mask_color = 255
    cv2.fillPoly(mask, vertices, match_mask_color)
    masked_image = cv2.bitwise_and(img, mask)

pknowledge

#define ROW_1 2
#define ROW_2 3
#define ROW_3 4
#define ROW_4 5
#define ROW_5 6
#define ROW_6 7
#define ROW_7 8
#define ROW_8 9

#define COL_1 10

pknowledge

import matplotlib.pylab as plt
import cv2
import numpy as np

image = cv2.imread('road.jpg')
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

print(image.shape)
height = image.shape[0]
width = image.shape[1]