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60 lines
2.2 KiB
Markdown
60 lines
2.2 KiB
Markdown
# Usage
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## I. Decensoring bar censors
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For each image you want to decensor, using image editing software like Photoshop or GIMP to color the areas you want to decensor the green color (0,255,0), which is a very bright green color.
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*I strongly recommend you use the pencil tool and NOT the brush tool.*
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*If you aren't using the pencil tool, BE SURE TO TURN OFF ANTI-ALIASING on the tool you are using.*
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I personally use the wand selection tool with anti-aliasing turned off to select the censored regions. I then expand the selections slightly, pick the color (0,255,0), and use the paint bucket tool on the selected regions.
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To expand selections in Photoshop, do Selection > Modify > Expand or Contract.
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To expand selections in GIMP, do Select > Grow.
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Save these images in the PNG format to the "decensor_input" folder. **They MUST be in PNG format.**
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### A. Using the binary
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Decensor the images by double-clicking on the decensor file.
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### B. Running from scratch
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Decensor the images by running
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```
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$ python decensor.py
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```
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Decensored images will be saved to the "decensor_output" folder. Decensoring takes a few minutes per image.
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## II. Decensoring mosaic censors
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As with decensoring bar censors, perform the same steps of coloring the censored regions green and putting the colored image into the "decensor_input" folder.
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In addition, move the original, uncolored images into the "decensor_input_original" folder. Ensure each original image has the same names as their corresponding colored version in the "decensor_input" folder.
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For example, if the original image is called "mermaid.jpg," then you want to put this image in the "decensor_input_original" folder and, after you colored the censored regions, name the colored image "mermaid.png" and move it to the "decensor_input" folder.
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### A. Using the binary
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Decensor the images by double-clicking on the decensor_mosaic file.
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### B. Running from scratch
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Decensor the images by running
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```
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$ python decensor.py --is_mosaic=True
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```
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Decensored images will be saved to the "decensor_output" folder. Decensoring takes a few minutes per image.
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## III. Decensoring with the user interface
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To be implemented.
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# Troubleshooting
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If you have difficulties getting DeepCreamPy to decensor, go [here](TROUBLESHOOTING.md).
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