install laravel pusher-js laravel-echo

@codebraker answered on February 9, 2025 Popularity 3/10 Helpfulness 1/10

answer install laravel pusher-js laravel-echo

related Find similarities between two images with Opencv and Python

install laravel pusher-js laravel-echo

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npm install laravel-echo pusher-js toastify-js

Popularity 3/10 Helpfulness 1/10 Language php

Source: programmingmindset.com

Tags: laravel laravel-echo php pusher-js

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Contributed on Feb 11 2025

@codebraker

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Find similarities between two images with Opencv and Python

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from skimage.metrics import structural_similarity
import cv2
import numpy as np

first = cv2.imread('clownfish_1.jpeg')
second = cv2.imread('clownfish_2.jpeg')

# Convert images to grayscale
first_gray = cv2.cvtColor(first, cv2.COLOR_BGR2GRAY)
second_gray = cv2.cvtColor(second, cv2.COLOR_BGR2GRAY)

# Compute SSIM between two images
score, diff = structural_similarity(first_gray, second_gray, full=True)
print("Similarity Score: {:.3f}%".format(score * 100))

# The diff image contains the actual image differences between the two images
# and is represented as a floating point data type so we must convert the array 
# to 8-bit unsigned integers in the range [0,255] before we can use it with OpenCV
diff = (diff * 255).astype("uint8")

# Threshold the difference image, followed by finding contours to
# obtain the regions that differ between the two images
thresh = cv2.threshold(diff, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
contours = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours = contours[0] if len(contours) == 2 else contours[1]

# Highlight differences
mask = np.zeros(first.shape, dtype='uint8')
filled = second.copy()

for c in contours:
    area = cv2.contourArea(c)
    if area > 100:
        x,y,w,h = cv2.boundingRect(c)
        cv2.rectangle(first, (x, y), (x + w, y + h), (36,255,12), 2)
        cv2.rectangle(second, (x, y), (x + w, y + h), (36,255,12), 2)
        cv2.drawContours(mask, [c], 0, (0,255,0), -1)
        cv2.drawContours(filled, [c], 0, (0,255,0), -1)

cv2.imshow('first', first)
cv2.imshow('second', second)
cv2.imshow('diff', diff)
cv2.imshow('mask', mask)
cv2.imshow('filled', filled)
cv2.waitKey()

Popularity 1/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: between find opencv python

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Contributed on Feb 09 2025

Raber Mislim

0 Answers Avg Quality 2/10

install laravel pusher-js laravel-echo

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install laravel pusher-js laravel-echo

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Find similarities between two images with Opencv and Python

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