findimg

findimg

Simple Go-based image template matching command line tool.

🐛 Report Bug · 💡 Request Feature

About

findimg is a Go-based image processing application designed to find and visualize matches of a sub-image within a larger image. It uses convolution to find matches and can output results in various formats including JSON and HTML (for debugging).

❯ findimg haystack.jpg needle.jpg 
0.931709  271  108  101  101
0.926643  271  100  101  101
0.895680  263  108  101  101
0.877596  263  100  101  101
0.868484  271  116  101  101
0.866736  271   93  101  100

See Usage for more examples.

Features

• Simple - easy to use, no configuration required
• Lightweight - no dependencies, single binary, no GPU required

Limitations

• No rotation - only supports translation
• Approximate - uses multiple scales and heuristics to find matches
• Size - only supports sub-images smaller than the larger image
• Not optimal - does not use Discrete Cosine Transform (DCT) or Fast Fourier Transform (FFT) to speed up convolution, ain't nobody got time for that

Built With

• Go

Usage

Make sure you have Go installed and run:

go install github.com/smilyorg/findimg@latest

Then make sure $GOPATH/bin is in your $PATH and run the following to see if it was installed correctly:

findimg -h

Then you can run findimg with two images as arguments:

findimg image.jpg subimage.jpg

or to find 20 matches instead and output them as JSON:

findimg -k 20 -o json image.jpg subimage.jpg

or as HTML for debugging:

findimg -o html image.jpg subimage.jpg > result.html

Tutorial

Let's say we have a large image called haystack.jpg and we want to find matches of a smaller image called needle.jpg within it.

haystack.jpg

needle.jpg

We can simply run:

findimg haystack.jpg needle.jpg

And we will get the following output:

0.931879  271  108  101  101
0.927053  271  100  101  101
0.896113  263  108  101  101
0.878006  263  100  101  101
0.868701  271  116  101  101
0.867084  271   93  101  100

By default, findimg will output the matches in the following format:

<match> <x> <y> <width> <height>

Where match is a value between 0 and 1 indicating how similar the sub-image is to the larger image. The higher the match, the more similar the images are. A match below 0.9 is usually not a good match, and a match above 0.95 is usually a good match.

x and y are the coordinates of the top-left corner of the sub-image within the larger image. width and height are the dimensions of the sub-image.

Let's also print only the best match in JSON format and format it with jq:

findimg -k 1 -o json haystack.jpg needle.jpg | jq

{
  "matches": [
    {
      "bounds": {
        "x": 271,
        "y": 108,
        "w": 101,
        "h": 101
      },
      "match": 0.9318791816529373
    }
  ]
}

And then finally, let's visualize the matches in HTML:

findimg -o html haystack.jpg needle.jpg > result.html

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgements

• Best-README-Template
• readme.so