# robustTemplateMatching
**Repository Path**: repe/robustTemplateMatching
## Basic Information
- **Project Name**: robustTemplateMatching
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-25
- **Last Updated**: 2020-12-19
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# 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
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|
|---|---|---|
|
|
|
|