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Robust Template Matching Using Scale-Adaptive Deep Convolutional Features

Pytorch Unofficial Implementation of Robust Template Matching Using Scale-Adaptive Deep Convolutional Features

http://www.apsipa.org/proceedings/2017/CONTENTS/papers2017/14DecThursday/TA-02/TA-02.5.pdf

Requirements

  • torch (1.0.0)
  • torchvision (0.2.1)
  • cv2
  • (optional) cython

Usage

python run.py [sample_image_path] [template_image_path] --use_cuda --use_cython
  • add --use_cuda option to use GPU
  • add --use_cython option to execute with cython

Using Cython

Using Cython requires you to build the files in the cython_files folder. To build the same, please use the following command in the cython_files folder:

python setup.py build_ext -i

If your Python version is >3.8, you might need to use a forced build:

python setup.py build_ext -i -f

The result image will be saved as result.png.

Example

python run.py sample/sample1.jpg template/template1.png --use_cuda --use_cython
sample image template image result image 
python run.py sample/sample2.jpg template/template2.png --use_cuda --use_cython
sample image template image result image