main.py

import sys
sys.path.insert(0, r'C:\PYTHON\SHARED')

import cv2
import easyocr
import matplotlib.pyplot as plt
import numpy as np

# read image
image_path = 'data/test1.png'

img = cv2.imread(image_path)

# instance text detector
reader = easyocr.Reader(['en'], gpu=False)

# detect text on image
text_ = reader.readtext(img)

threshold = 0.25
# draw bbox and text
for t_, t in enumerate(text_):
    print(t)

    bbox, text, score = t

    if score > threshold:
        cv2.rectangle(img, bbox[0], bbox[2], (0, 255, 0), 5)
        cv2.putText(img, text, bbox[0], cv2.FONT_HERSHEY_COMPLEX, 0.65, (255, 0, 0), 2)

plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.show()