OpenCV 3 Computer Vision with Python Cookbook by Alexey Spizhevoy & Aleksandr Rybnikov

Author:Alexey Spizhevoy & Aleksandr Rybnikov
Language: eng
Format: epub
Tags: COM051360 - COMPUTERS / Programming Languages / Python, COM060090 - COMPUTERS / Internet / Application Development, COM060080 - COMPUTERS / Web / General
Publisher: Packt Publishing
Published: 2018-03-23T08:49:47+00:00

import cv2

Load the text image:

img = cv2.imread('../data/scenetext01.jpg')

Load the pre-trained convolutional neural network and detect the text messages:

det = cv2.text.TextDetectorCNN_create(

"../data/textbox.prototxt", "../data/TextBoxes_icdar13.caffemodel")

rects, probs = det.detect(img)

Draw the detected text bounding boxes with confidences higher than the threshold:

THR = 0.3

for i, r in enumerate(rects):

if probs[i] > THR:

cv2.rectangle(img, (r[0], r[1]), (r[0]+r[2], r[1]+r[3]), (0, 255, 0), 2)

Visualize the results:

Download

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