Metadata-Version: 2.1
Name: spriteutil-fada-module
Version: 1.0.1
Summary: Sprite detection package
Home-page: https://github.com/intek-training-jsc/sprite-detection-masternhat
Author: Le Quang Nhat
Author-email: nhat.le@f4.intek.edu.vn
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pillow

<h1 style="text-align: center;">Sprite Detection</h1>

<img src="optimized_sprite_sheet.png" width=50%, height=50%><img src="optimized_sprite_sheet_bounding_box_white_background.png" width=50%, height=50%>


### Features

- [x] Find the Most Common Color in an Image.
- [x] Find Sprites in an Image.
- [x] Draw Sprite Label Bounding Boxes.

### Why this project is useful?

- Used reasonable library for process Image.
- Can be used on a big image.
- Easy to understand.

### Usage

- Find the Most Common Color in an Image

```python
>>> from PIL import Image
# JPEG image
>>> image = Image.open('first_image.jpg')
>>> image.mode
'RGB'
>>> find_most_common_color(image)
(0, 221, 204)
# PNG image
>>> image = Image.open('second_image.png')
>>> image.mode
'RGBA'
>>> find_most_common_color(image)
(0, 0, 0, 0)
# Grayscale image
>>> image = image.convert('L')
>>> image.mode
'L'
>>> find_most_common_color(image)
0
```

- Find Sprites in an Image.

<img src="metal_slug_single_sprite_large.png" width=50%, height=50%>

```python
>>> from PIL import Image
>>> image = Image.open('metal_slug_single_sprite.png')
>>> sprites, label_map = find_sprites(image, background_color=(255, 255, 255))
>>> len(sprites)
1
>>> for label, sprite in sprites.items():
...     print(f"Sprite ({label}): [{sprite.top_left}, {sprite.bottom_right}] {sprite.width}x{sprite.height}")
Sprite (1): [(0, 0), (29, 37)] 30x38
>>> import pprint
>>> pprint.pprint(label_map, width=120)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0],
 [0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0],
 [0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0],
 [0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0],
 [0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [0,0,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0],
 [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0],
 [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0],
 [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0],
 [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0],
 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0],
 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0],
 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0],
 [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0],
 [0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0],
 [0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0],
 [0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0],
 [0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
 [0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1],
 [0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,0],
 [0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,1,1,0,0],
 [0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0],
 [0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0],
 [0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0],
 [0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [0,0,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0],
 [0,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0],
 [0,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0],
 [1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0],
 [1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0],
 [1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0]]
```
Other example with the following image:

<img src="optimized_sprite_sheet.png" width=50%, height=50%>

```python
>>> from PIL import Image
>>> image = Image.open('optimized_sprite_sheet.png')
>>> sprites, label_map = find_sprites(image)
>>> len(sprites)
22
>>> for label, sprite in sprites.items():
...     print(f"Sprite ({label}): [{sprite.top_left}, {sprite.bottom_right}] {sprite.width}x{sprite.height}")
Sprite (25): [(383, 1), (455, 102)] 73x102
Sprite (43): [(9, 2), (97, 122)] 89x121
Sprite (26): [(110, 4), (195, 123)] 86x120
Sprite (46): [(207, 4), (291, 123)] 85x120
Sprite (16): [(305, 8), (379, 123)] 75x116
Sprite (53): [(349, 125), (431, 229)] 83x105
Sprite (61): [(285, 126), (330, 181)] 46x56
Sprite (100): [(1, 129), (101, 237)] 101x109
Sprite (106): [(106, 129), (193, 249)] 88x121
Sprite (93): [(183, 137), (278, 241)] 96x105
Sprite (95): [(268, 173), (355, 261)] 88x89
Sprite (178): [(6, 244), (101, 348)] 96x105
Sprite (185): [(145, 247), (245, 355)] 101x109
Sprite (141): [(343, 257), (417, 372)] 75x116
Sprite (169): [(102, 262), (142, 303)] 41x42
Sprite (188): [(249, 267), (344, 373)] 96x107
Sprite (192): [(412, 337), (448, 372)] 37x36
Sprite (256): [(89, 353), (184, 459)] 96x107
Sprite (234): [(11, 356), (104, 461)] 94x106
Sprite (207): [(188, 358), (281, 463)] 94x106
Sprite (229): [(384, 374), (456, 475)] 73x102
Sprite (248): [(286, 378), (368, 482)] 83x105
```

- Draw Sprite Label Bounding Boxes.

```python
>>> from PIL import Image
>>> image = Image.open('optimized_sprite_sheet.png')
>>> sprites, label_map = find_sprites(image)
>>> # Draw sprite masks and bounding boxes with the default white background color.
>>> sprite_label_image = create_sprite_labels_image(sprites, label_map)
>>> sprite_label_image.save('optimized_sprite_sheet_bounding_box_white_background.png')
>>> # Draw sprite masks and bounding boxes with a transparent background color.
>>> sprite_label_image = create_sprite_labels_image(sprites, label_map, background_color=(0, 0, 0, 0))
>>> sprite_label_image.save('optimized_sprite_sheet_bounding_box_transparent_background.png')
```

| Sprite Masks with White Background    | Sprite Masks with Transparent Background  |
| ------------------------------------------------------------- | ------------------------------------------------------------------- |
| <img src="optimized_sprite_sheet_bounding_box_white_background.png" width=100%, height=100%>|<img src="optimized_sprite_sheet_bounding_box_transparent_background.png" width=100%, height=100%>|


### Built with
- [Pillow](https://pillow.readthedocs.io/en/stable/)
- [Numpy](https://numpy.org/devdocs/user/quickstart.html)


### Authors
- Le Quang Nhat (masternhat) - Intek student - Developer


### Pull requests welcome!
Spotted an error? Something doesn't make sense? Send me a [pull
request](https://github.com/intek-training-jsc/sprite-detection-masternhat/pulls)!


### Support
Ask your question here: <https://www.google.com/>

### Everyone can Maintains && Contributing

Just follow steps:

1. Fork it (<https://github.com/intek-training-jsc/sprite-detection-masternhat.git>)
2. Create your feature branch (`git checkout -b feature/fooBar`)
3. Commit your changes (`git commit -am 'Add some fooBar'`)
4. Push to the branch (`git push origin feature/fooBar`)
5. Create a new Pull Request

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

