Image Finder is a Python package that leverages the power of OpenCV to locate image and extract text within a range.
It provides a simple and efficient way to perform image processing tasks such as template matching and text extraction.
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Image Matching: Image Finder can locate a template image within a image using OpenCV template matching techniques.
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Text Extraction: Image Finder can extract text within a specified rectangle in an image.
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Drawing on Images: Image Finder provides functions to draw points and rectangles on images.
Here is a basic example of how to use Image Finder:
from image_finder import ImageFinder
def main():
# Load an image from a file
with open('sample_images/pytho_cat.png', 'rb') as f:
image = f.read()
finder = ImageFinder(image=image)
# Load a template image from a file
with open('sample_images/template.png', 'rb') as f:
template = f.read()
# Find the template in the image
image_coop = finder.find_image_in_screen(template=template, threshold=0.7)
print(image_coop)
# Draw a point at the center of the match
return_image = finder.draw_point(x=image_coop['center_x'], y=image_coop['center_y'], color=(0, 255, 0),
thickness=-1, radius=10)
with open('sample_images/return_draw_point_image.png', 'wb') as f:
f.write(return_image)
# Extract text within a rectangle in an image
texts = finder.find_text_in_rectangle(top_left_x=0, top_left_y=0, bottom_right_x=896, bottom_right_y=896,
lang=['en'])
print(texts)
# Draw a rectangle on an image
return_image = finder.draw_rectangle(top_left_x=10, top_left_y=10, bottom_right_x=800, bottom_right_y=800,
color=(255, 0, 0), thickness=2)
with open('sample_images/return_draw_rectangle_image.png', 'wb') as f:
f.write(return_image)
if __name__ == '__main__':
main()pip install image-finderContributions to Image Finder are welcome. Please open an issue or submit a pull request on GitHub.
Image Finder is released under the Apache License.