A simple web app to extract dominant colors from an image.
|-- Procfile |-- README.md |-- app.json |-- colorpalette | |-- __init__.py | |-- color.py | |-- forms.py | |-- routes.py | |-- static | | |-- css | | |-- font | | |-- images | | | |-- favicon | | `-- js | `-- templates | |-- 413.html | |-- base.html | |-- index.html | `-- picture.html |-- config.py |-- requirements.txt |-- run.py `-- LICENSE## Run locally 1. Clone the repostory: ``` git clone https://github.com/makkoncept/colorpalette.git ``` 2. Navigate to the project root and create a virtual environment: ``` python3 -m venv venv ``` 3. Activate the virtual environment: Linux: ``` source venv/bin/activate ``` Windows cmd: ``` venv\Scripts\activate.bat ``` 4. Install requirements: ``` pip install -r requirements.txt ``` 5. Run the development server: ``` python run.py ``` 6. View on [localhost:5000](http://127.0.0.1:5000) ## Attribution Icon made by Freepik from www.flaticon.com ================================================ FILE: app.json ================================================ { "name": "ColorPalette", "description": "Extracts dominating colors from an image and present them as a palette.", "repository": "https://github.com/makkoncept/colorpalette", "logo": "https://raw.githubusercontent.com/makkoncept/colorpalette/master/.readme_assets/color-palette.png", "keywords": ["Flask", "Python", "Colors"] } ================================================ FILE: colorpalette/__init__.py ================================================ from flask import Flask from dotenv import load_dotenv, find_dotenv from config import Config load_dotenv(find_dotenv()) app = Flask(__name__) app.config.from_object(Config) from colorpalette import routes ================================================ FILE: colorpalette/color.py ================================================ from PIL import Image, ImageDraw, ImageFont from webcolors import rgb_to_hex import os def get_dominant_colors(infile): image = Image.open(infile) small_image = image.resize((80, 80)) result = small_image.convert( "P", palette=Image.ADAPTIVE, colors=10 ) # image with only 10 dominating colors # Find dominant colors palette = result.getpalette() color_counts = sorted(result.getcolors(), reverse=True) colors = list() for i in range(10): palette_index = color_counts[i][1] dominant_color = palette[palette_index * 3 : palette_index * 3 + 3] colors.append(tuple(dominant_color)) # print(colors) return colors def process_uploaded_image( infile, outline_width, pallete_division_factor, outline_color, numcolors=10 ): # width of the pallete that will be an independent image itself independent_pallete_width = 100 original_image = Image.open(infile) width, height = original_image.size # height for the pallete that will be pasted under the image img_palette_height = int(height / pallete_division_factor) img_palette_width = width / 10 processed_image = Image.new( "RGB", (width, height + img_palette_height) ) # blank canvas(original image + palette) pallete_under_image = Image.new("RGB", (width, img_palette_height)) # blank canvas for pallete.
Extracts dominating colors from your image
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