better color changing (maual)
This commit is contained in:
Lennart J. Kurzweg (Nx2)
@@ -5,17 +5,18 @@
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<div class="color-container" style="border-color: ${color-set.base}">
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<div class="color-box" style="background: ${color-set.dark}; height: ${builtins.toString size}px;">
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<p style="color: ${color-set.bright}"> ${color-name}.dark </p>
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<p style="color: ${color-set.bright}"> ${color-set.dark} </p>
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</div>
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<div class="color-box" style="background: ${color-set.base}; height: ${builtins.toString size}px;">
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<p class="dynamic-text"> ${color-name}.base </p>
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<p class="dynamic-text"> ${color-set.base} </p>
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</div>
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<div class="color-box" style="background: ${color-set.bright}; height: ${builtins.toString size}px;">
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<p style="color: ${color-set.dark}"> ${color-name}.bright </p>
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<p style="color: ${color-set.dark}"> ${color-set.bright} </p>
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</div>
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</div>
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'';
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in /* html */ ''
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<!DOCTYPE html>
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<head>
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@@ -37,7 +38,7 @@
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color: ${foreground};
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width: fit-content;
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margin: 10px auto 10px auto;
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background: ${background};
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background: rgba(${rice.lib.hex-to-rgb-comma-string background},${builtins.toString rice.transparency});
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border: ${builtins.toString rice.border-width}px solid ${border};
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border-radius: ${builtins.toString rice.rounding}px;
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padding: ${builtins.toString rice.gap-size}px;
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@@ -66,18 +67,20 @@
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${cb accent "accent" 100}
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${cb secondary "secondary" 100}
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${cb tertiary "tertiary" 100}
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${cb weird "weird" 75}
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${cb special "special" 75}
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${cb positive "positive" 30}
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${cb negative "negative" 30}
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${cb black "black" 25}
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${cb white "white" 25}
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${cb blue "blue" 25}
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${cb cyan "cyan" 25}
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${cb green "green" 25}
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${cb magenta "magenta" 25}
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${cb red "red" 25}
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${cb yellow "yellow" 25}
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${cb weird "weird" 100}
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${cb special "special" 100}
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<br>
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${cb positive "positive" 70}
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${cb negative "negative" 70}
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<br>
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${cb black "black" 50}
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${cb white "white" 50}
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${cb blue "blue" 50}
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${cb cyan "cyan" 50}
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${cb green "green" 50}
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${cb magenta "magenta" 50}
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${cb red "red" 50}
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${cb yellow "yellow" 50}
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</body>
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<script>
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function getLuminance(color) {
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@@ -339,7 +339,7 @@ in {
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"SUPER SHIFT, F5, exec, nx_gcal_event reauthenticate"
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"SUPER, F6, exec, kitty -e 'htop'"
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"SUPER, F7, exec, kitty -e 'nmtui'"
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''SUPER, F8, exec, find ~/Pictures/wallpapers/* -type f -not -path "~/Pictures/wallpapers/.git/*" | sort -R | head -n 1 | xargs swww img --transition-type wipe --transition-angle 60 --transition-step 120 --transition-fps 120''
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''SUPER, F8, exec, find ~/Pictures/wallpapers/* -type f -not -path "~/Pictures/wallpapers/.git/*" | sort -R | head -n 1 | xargs -d '\n' swww img --transition-type wipe --transition-angle 60 --transition-step 120 --transition-fps 120 --transition-duration 2''
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"SUPER, F9, execr, waybar_mode set ' '"
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"SUPER, F9, submap, color"
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# "SUPER, F10, hyprload,update"
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@@ -571,9 +571,9 @@ in {
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submap = reset
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submap = color
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${action_simple { key = "W"; cmd = ''exec,kitty -e sh -c 'change_colors_json img $(swww query | sed -n 1p | sed -e "s-.*image: --g") && nh home switch' ''; }}
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${action_simple { key = "M"; cmd = ''exec,change_colors_json manual && kitty -e sh -c 'nh home switch && firefox /home/${user}/.config/color-pallete.html' ''; }}
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${action_simple { key = "D"; cmd = ''exec,firefox /home/${user}/.config/color-pallete.html ''; }}
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${action_simple { key = "W"; cmd = ''exec,swww query | sed -n 1p | sed -E 's-.*image: (.*)-"\1"-g' | xargs change_colors_json img && notify-send 'change_colors_json img successfull' ''; }}
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${action_simple { key = "M"; cmd = ''exec,change_colors_json manual && notify-send 'change_colors_json manual successfull' ''; }}
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${action_simple { key = "D"; cmd = ''exec,firefox /home/${user}/.config/color-pallete.html''; }}
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bind = , Escape, execr, waybar_mode unset
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bind = , Escape, submap, reset
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submap = reset
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@@ -5,155 +5,158 @@
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libraries = with python3Packages; [ numpy pillow scikit-learn ];
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flakeIgnore = [ "E302" "E305" "E226" "E501" ];
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} /*python */ ''
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from colorsys import hls_to_rgb, rgb_to_hls
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import json
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import sys
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import subprocess
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from typing import Literal, cast
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from numpy.typing import NDArray
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from sklearn.cluster import KMeans
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import numpy as np
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from PIL import Image
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from colorsys import hls_to_rgb, rgb_to_hls
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import json
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import sys
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import subprocess
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from time import sleep
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from typing import Literal, cast
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from numpy.typing import NDArray
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from sklearn.cluster import KMeans
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import numpy as np
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from PIL import Image
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def fc(c: int) -> str:
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assert c < 256
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s = str(hex(c))[2:]
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if c < 16:
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return "0" + s
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elif len(s) == 1:
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return s + s
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else:
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return s
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def fc(c: int) -> str:
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assert c < 256
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s = str(hex(c))[2:]
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if c < 16:
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return "0" + s
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elif len(s) == 1:
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return s + s
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else:
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return s
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class Color(object):
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def __init__(self, rgb: tuple[int, ...], frequency: float = 1):
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assert len(rgb) == 3, "RGB values must be a tuple of length 3"
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self.rgb = cast(tuple[int, int, int], rgb)
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self.freq: float = frequency
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class Color(object):
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def __init__(self, rgb: tuple[int, ...], frequency: float = 1):
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assert len(rgb) == 3, "RGB values must be a tuple of length 3"
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self.rgb = cast(tuple[int, int, int], rgb)
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self.freq: float = frequency
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def __lt__(self, other: "Color") -> bool:
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return self.freq < other.freq
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def __lt__(self, other: "Color") -> bool:
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return self.freq < other.freq
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@property
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def hls(self) -> tuple[float, float, float]:
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return rgb_to_hls(r=self.rgb[0] / 255, g=self.rgb[1] / 255, b=self.rgb[2] / 255)
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@property
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def hls(self) -> tuple[float, float, float]:
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return rgb_to_hls(r=self.rgb[0] / 255, g=self.rgb[1] / 255, b=self.rgb[2] / 255)
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@property
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def luminance(self) -> float:
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return np.dot(np.array([0.2126, 0.7152, 0.0722]), self.rgb)
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@property
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def luminance(self) -> float:
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return np.dot(np.array([0.2126, 0.7152, 0.0722]), self.rgb)
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def k_means_extraction(arr: NDArray[float], height: int, width: int, palette_size: int) -> list[Color]:
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arr = np.reshape(arr, (width * height, -1))
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model = KMeans(n_clusters=palette_size, n_init="auto", init="k-means++", random_state=2024)
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labels = model.fit_predict(arr)
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palette = np.array(model.cluster_centers_, dtype=int)
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color_count = np.bincount(labels)
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color_frequency = color_count / float(np.sum(color_count))
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colors = []
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for color, freq in zip(palette, color_frequency):
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colors.append(Color(color, freq))
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return colors
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def k_means_extraction(arr: NDArray[float], height: int, width: int, palette_size: int) -> list[Color]:
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arr = np.reshape(arr, (width * height, -1))
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model = KMeans(n_clusters=palette_size, n_init="auto", init="k-means++", random_state=2024)
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labels = model.fit_predict(arr)
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palette = np.array(model.cluster_centers_, dtype=int)
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color_count = np.bincount(labels)
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color_frequency = color_count / float(np.sum(color_count))
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colors = []
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for color, freq in zip(palette, color_frequency):
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colors.append(Color(color, freq))
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return colors
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class Palette:
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def __init__(self, colors: list[Color]):
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self.colors = colors
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self.frequencies = [c.freq for c in colors]
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class Palette:
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def __init__(self, colors: list[Color]):
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self.colors = colors
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self.frequencies = [c.freq for c in colors]
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def __getitem__(self, item: int) -> Color:
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return self.colors[item]
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def __getitem__(self, item: int) -> Color:
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return self.colors[item]
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def __len__(self) -> int:
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return self.number_of_colors
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def __len__(self) -> int:
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return self.number_of_colors
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def ensure_color(c: Color, alter_sat: bool) -> list[int]:
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hue, lum, sat = c.hls
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if alter_sat:
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new_sat = min((sat**0.5) + 0.4, 1)
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else:
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new_sat = sat
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new_lum = max(lum, 0.5)
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r, g, b = hls_to_rgb(h=hue, l=new_lum, s=new_sat)
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return [int(r*255), int(g*255), int(b*255)]
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def ensure_color(c: Color, alter_sat: bool) -> list[int]:
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hue, lum, sat = c.hls
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if alter_sat:
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new_sat = min((sat**0.5) + 0.4, 1)
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else:
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new_sat = sat
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new_lum = max(lum, 0.5)
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r, g, b = hls_to_rgb(h=hue, l=new_lum, s=new_sat)
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return [int(r*255), int(g*255), int(b*255)]
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def list_to_hex(ilist: list[int]) -> str:
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return f"#{fc(ilist[0])}{fc(ilist[1])}{fc(ilist[2])}"
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def list_to_hex(ilist: list[int]) -> str:
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return f"#{fc(ilist[0])}{fc(ilist[1])}{fc(ilist[2])}"
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def alter_hue(ilist: list[int], hue: int) -> list[int]:
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assert hue >= 0 and hue <= 360
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r, g, b = ilist
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h, l, s = rgb_to_hls((r/255), (g/255), (b/255))
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new_hue = (((h*360) + hue) % 360) / 360
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r, g, b = hls_to_rgb(h=new_hue, l=l, s=s)
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return [int(r*255), int(g*255), int(b*255)]
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def alter_hue(ilist: list[int], hue: int) -> list[int]:
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assert hue >= 0 and hue <= 360
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r, g, b = ilist
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h, l, s = rgb_to_hls((r/255), (g/255), (b/255))
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new_hue = (((h*360) + hue) % 360) / 360
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r, g, b = hls_to_rgb(h=new_hue, l=l, s=s)
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return [int(r*255), int(g*255), int(b*255)]
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def alter_l(ilist: list[int], l_in_1_0: float) -> list[int]:
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assert l_in_1_0 >= 0 and l_in_1_0 <= 1
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r, g, b = ilist
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h, _, s = rgb_to_hls((r/255), (g/255), (b/255))
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r, g, b = hls_to_rgb(h=h, l=l_in_1_0, s=s)
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return [int(r*255), int(g*255), int(b*255)]
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def alter_l(ilist: list[int], l_in_1_0: float) -> list[int]:
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assert l_in_1_0 >= 0 and l_in_1_0 <= 1
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r, g, b = ilist
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h, _, s = rgb_to_hls((r/255), (g/255), (b/255))
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r, g, b = hls_to_rgb(h=h, l=l_in_1_0, s=s)
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return [int(r*255), int(g*255), int(b*255)]
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def extract_colors(
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image: str,
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palette_size: int = 5,
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resize: bool = True,
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sort_mode: Literal["luminance", "frequency"] | None = None,
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) -> Palette:
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def extract_colors(
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image: str,
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palette_size: int = 5,
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resize: bool = True,
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sort_mode: Literal["luminance", "frequency"] | None = None,
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) -> Palette:
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img = Image.open(image).convert("RGB")
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img = Image.open(image).convert("RGB")
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# open the image
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img = img.resize((256, 256))
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width, height = img.size
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arr = np.asarray(img)
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# open the image
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img = img.resize((256, 256))
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width, height = img.size
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arr = np.asarray(img)
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colors = k_means_extraction(arr, height, width, palette_size)
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colors = k_means_extraction(arr, height, width, palette_size)
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if sort_mode == "luminance":
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colors.sort(key=lambda c: c.luminance, reverse=False)
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else:
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colors.sort(reverse=True)
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if sort_mode == "luminance":
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colors.sort(key=lambda c: c.luminance, reverse=False)
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else:
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colors.sort(reverse=True)
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return Palette(colors)
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return Palette(colors)
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def hyprpicker() -> Color:
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ret = str(subprocess.run(["${pkgs.hyprpicker}/bin/hyprpicker", "-f", "rgb"], capture_output=True).stdout)[2:-3]
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return Color([int(c) for c in ret.split(" ")])
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def hyprpicker() -> Color:
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ret = str(subprocess.run(["${pkgs.hyprpicker}/bin/hyprpicker", "-n", "-f", "rgb"], capture_output=True).stdout)[2:-3]
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return Color([int(c) for c in ret.split(" ")])
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if __name__ == "__main__":
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if sys.argv[1] == "img":
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img = sys.argv[2]
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palette = extract_colors(image=img, palette_size=3)
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accent = ensure_color(c=palette[0], alter_sat=False)
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secondary = ensure_color(c=palette[1], alter_sat=True)
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tertiary = ensure_color(c=palette[2], alter_sat=False)
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elif sys.argv[1] == "manual":
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accent = ensure_color(c=hyprpicker(), alter_sat=False)
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secondary = ensure_color(c=hyprpicker(), alter_sat=True)
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tertiary = ensure_color(c=hyprpicker(), alter_sat=False)
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if __name__ == "__main__":
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if sys.argv[1] == "img":
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img = sys.argv[2]
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palette = extract_colors(image=img, palette_size=3)
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accent = ensure_color(c=palette[0], alter_sat=False)
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secondary = ensure_color(c=palette[1], alter_sat=True)
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tertiary = ensure_color(c=palette[2], alter_sat=False)
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elif sys.argv[1] == "manual":
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accent = ensure_color(c=hyprpicker(), alter_sat=False)
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sleep(0.1)
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secondary = ensure_color(c=hyprpicker(), alter_sat=True)
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sleep(0.1)
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tertiary = ensure_color(c=hyprpicker(), alter_sat=False)
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weird = alter_hue(ilist=accent, hue=80)
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special = alter_hue(ilist=accent, hue=180)
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foreground = alter_l(accent, 0.9)
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background = alter_l(accent, 0.1)
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weird = alter_hue(ilist=accent, hue=80)
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special = alter_hue(ilist=accent, hue=180)
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foreground = alter_l(accent, 0.9)
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background = alter_l(accent, 0.1)
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d = {
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"base": {
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"foreground": list_to_hex(foreground),
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"background": list_to_hex(background)
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},
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"to_alter": {
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"accent": list_to_hex(accent),
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"secondary": list_to_hex(secondary),
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"tertiary": list_to_hex(tertiary),
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"special": list_to_hex(special),
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"weird": list_to_hex(weird)
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}
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}
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d = {
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"base": {
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"foreground": list_to_hex(foreground),
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"background": list_to_hex(background)
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},
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"to_alter": {
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"accent": list_to_hex(accent),
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"secondary": list_to_hex(secondary),
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"tertiary": list_to_hex(tertiary),
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"special": list_to_hex(special),
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"weird": list_to_hex(weird)
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}
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}
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with open("/home/nx2/nix-dots/flake-modules/colors.json", "w") as f:
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f.write(json.dumps(d, indent=4))
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'')
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with open("/home/nx2/nix-dots/flake-modules/colors.json", "w") as f:
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f.write(json.dumps(d, indent=4))
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'')
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];
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}
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Block a user