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@ -18,7 +18,7 @@ Before cloning repository, you need these to succesfully use the application.
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```
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```
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* python graphical modules
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* python graphical modules
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```sh
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```sh
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pip install numpy matplotlib opencv-python pillow
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pip install numpy matplotlib pillow
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```
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```
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@ -28,7 +28,7 @@ Installation is relatively fast and easy.
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1. Clone the repository
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1. Clone the repository
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```sh
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```sh
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git clone https://strade.fit.vutbr.cz/git/xlanro00/BP_DP-xlanro00
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git clone ssh://git@strade.fit.vutbr.cz:3022/xlanro00/BP_DP-xlanro00.git
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```
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```
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2. Prepare the image file with fingerprint, run the application
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2. Prepare the image file with fingerprint, run the application
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@ -45,13 +45,18 @@ There are two ways to enter filter series
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```sh
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```sh
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python src/main.py res/test_fp.png res/test_fp_cpy.png 100 --config config/config.json default_preset
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python src/main.py res/test_fp.png res/test_fp_cpy.png 100 --config config/config.json default_preset
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```
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```
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# Resulting images
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Before filtering | After filtering
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:-------------------------:|:-------------------------:
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![before filtering](https://strade.fit.vutbr.cz/git/xlanro00/BP_DP-xlanro00/src/branch/master/res/example-before.png) |
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![after filtering](https://strade.fit.vutbr.cz/git/xlanro00/BP_DP-xlanro00/src/branch/master/res/example-after.png)
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# Comparison
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<table>
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<thead>
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<th>Before</th>
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<th>After</th>
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</thead>
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<tbody>
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<td><img src="res/example-before.png?raw=true" width="400" /></td>
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<td><img src="res/example-after.png?raw=true" width="400" /></td>
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</tbody>
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</table>
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# Roadmap
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# Roadmap
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@ -63,7 +68,6 @@ Before filtering | After filtering
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- [ ] Convert image to stl format
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- [ ] Convert image to stl format
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- [ ] Export final model ready for printing
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- [ ] Export final model ready for printing
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#
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#
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### Author
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### Author
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