Using OpenCV python, I want to make a grid when I switch on my camera. Can you guys help me with a logic or code. Please find the image link below for better understanding.
Camera switched on and pointed to a floor
Grid Lines are split across the whole image
Here's a simple solution for creating an m x n grid:
import cv2 as cv # tested with version 4.5.3.56 (pip install opencv-python)
import numpy as np
def draw_grid(img, grid_shape, color=(0, 255, 0), thickness=1):
h, w, _ = img.shape
rows, cols = grid_shape
dy, dx = h / rows, w / cols
# draw vertical lines
for x in np.linspace(start=dx, stop=w-dx, num=cols-1):
x = int(round(x))
cv.line(img, (x, 0), (x, h), color=color, thickness=thickness)
# draw horizontal lines
for y in np.linspace(start=dy, stop=h-dy, num=rows-1):
y = int(round(y))
cv.line(img, (0, y), (w, y), color=color, thickness=thickness)
return img
Here's a script that wraps this function in a CLI: https://gist.github.com/mathandy/389ddbad48810d188bdc997c3a1dab0c
Here is the solution for my question guys. Make use of it.
import matplotlib.pyplot as plt
import matplotlib.ticker as plticker
try:
from PIL import Image
except ImportError:
import Image
# Open image file
image = Image.open('bird.jpg')
my_dpi=200.
# Set up figure
fig=plt.figure(figsize=(float(image.size[0])/my_dpi,float(image.size[1])/my_dpi),dpi=my_dpi)
ax=fig.add_subplot(111)
# Remove whitespace from around the image
fig.subplots_adjust(left=0,right=1,bottom=0,top=1)
# Set the gridding interval: here we use the major tick interval
myInterval=300.
loc = plticker.MultipleLocator(base=myInterval)
ax.xaxis.set_major_locator(loc)
ax.yaxis.set_major_locator(loc)
# Add the grid
ax.grid(which='major', axis='both', linestyle='-', color='g')
# Add the image
ax.imshow(image)
# Find number of gridsquares in x and y direction
nx=abs(int(float(ax.get_xlim()[1]-ax.get_xlim()[0])/float(myInterval)))
ny=abs(int(float(ax.get_ylim()[1]-ax.get_ylim()[0])/float(myInterval)))
# Save the figure
fig.savefig('birdgrid_without_Label.jpg')

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