mirror of
https://github.com/kavishdevar/librepods.git
synced 2026-01-29 06:10:52 +00:00
143 lines
5.2 KiB
Python
143 lines
5.2 KiB
Python
import math
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import drawille
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import numpy as np
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import logging
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import os
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class Colors:
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RESET = "\033[0m"
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BOLD = "\033[1m"
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RED = "\033[91m"
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GREEN = "\033[92m"
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YELLOW = "\033[93m"
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BLUE = "\033[94m"
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MAGENTA = "\033[95m"
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CYAN = "\033[96m"
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WHITE = "\033[97m"
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BG_BLACK = "\033[40m"
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class ColorFormatter(logging.Formatter):
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FORMATS = {
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logging.DEBUG: Colors.BLUE + "[%(levelname)s] %(message)s" + Colors.RESET,
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logging.INFO: Colors.GREEN + "%(message)s" + Colors.RESET,
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logging.WARNING: Colors.YELLOW + "%(message)s" + Colors.RESET,
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logging.ERROR: Colors.RED + "[%(levelname)s] %(message)s" + Colors.RESET,
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logging.CRITICAL: Colors.RED + Colors.BOLD + "[%(levelname)s] %(message)s" + Colors.RESET
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}
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def format(self, record):
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log_fmt = self.FORMATS.get(record.levelno)
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formatter = logging.Formatter(log_fmt, datefmt="%H:%M:%S")
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return formatter.format(record)
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handler = logging.StreamHandler()
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handler.setFormatter(ColorFormatter())
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log = logging.getLogger(__name__)
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log.setLevel(logging.INFO)
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log.addHandler(handler)
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log.propagate = False
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class HeadOrientation:
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def __init__(self, use_terminal=False):
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self.orientation_offset = 5500
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self.o1_neutral = 19000
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self.o2_neutral = 0
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self.o3_neutral = 0
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self.calibration_samples = []
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self.calibration_complete = False
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self.calibration_sample_count = 10
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self.fig = None
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self.ax = None
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self.arrow = None
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self.animation = None
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self.use_terminal = use_terminal
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def reset_calibration(self):
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self.calibration_samples = []
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self.calibration_complete = False
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def add_calibration_sample(self, orientation_values):
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if len(self.calibration_samples) < self.calibration_sample_count:
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self.calibration_samples.append(orientation_values)
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return False
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if not self.calibration_complete:
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self._calculate_calibration()
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return True
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return True
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def _calculate_calibration(self):
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if len(self.calibration_samples) < 3:
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log.warning("Not enough calibration samples")
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return
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samples = np.array(self.calibration_samples)
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self.o1_neutral = np.mean(samples[:, 0])
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avg_o2 = np.mean(samples[:, 1])
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avg_o3 = np.mean(samples[:, 2])
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self.o2_neutral = avg_o2
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self.o3_neutral = avg_o3
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log.info("Calibration complete: o1_neutral=%.2f, o2_neutral=%.2f, o3_neutral=%.2f",
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self.o1_neutral, self.o2_neutral, self.o3_neutral)
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self.calibration_complete = True
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def calculate_orientation(self, o1, o2, o3):
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if not self.calibration_complete:
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return {'pitch': 0, 'yaw': 0}
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o1_norm = o1 - self.o1_neutral
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o2_norm = o2 - self.o2_neutral
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o3_norm = o3 - self.o3_neutral
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pitch = (o2_norm + o3_norm) / 2 / 32000 * 180
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yaw = (o2_norm - o3_norm) / 2 / 32000 * 180
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return {'pitch': pitch, 'yaw': yaw}
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def create_face_art(self, pitch, yaw):
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if self.use_terminal:
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try:
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ts = os.get_terminal_size()
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width, height = ts.columns, ts.lines * 2
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except Exception:
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width, height = 80, 40
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else:
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width, height = 80, 40
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center_x, center_y = width // 2, height // 2
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radius = (min(width, height) // 2 - 2) // 2
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pitch_rad = math.radians(pitch)
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yaw_rad = math.radians(yaw)
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canvas = drawille.Canvas()
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def rotate_point(x, y, z, pitch_r, yaw_r):
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cos_y, sin_y = math.cos(yaw_r), math.sin(yaw_r)
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cos_p, sin_p = math.cos(pitch_r), math.sin(pitch_r)
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x1 = x * cos_y - z * sin_y
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z1 = x * sin_y + z * cos_y
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y1 = y * cos_p - z1 * sin_p
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z2 = y * sin_p + z1 * cos_p
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scale = 1 + (z2 / width)
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return int(center_x + x1 * scale), int(center_y + y1 * scale)
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for angle in range(0, 360, 2):
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rad = math.radians(angle)
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x = radius * math.cos(rad)
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y = radius * math.sin(rad)
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x1, y1 = rotate_point(x, y, 0, pitch_rad, yaw_rad)
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canvas.set(x1, y1)
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for eye in [(-radius//2, -radius//3, 2), (radius//2, -radius//3, 2)]:
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ex, ey, ez = eye
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x1, y1 = rotate_point(ex, ey, ez, pitch_rad, yaw_rad)
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for dx in [-1, 0, 1]:
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for dy in [-1, 0, 1]:
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canvas.set(x1 + dx, y1 + dy)
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nx, ny = rotate_point(0, 0, 1, pitch_rad, yaw_rad)
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for dx in [-1, 0, 1]:
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for dy in [-1, 0, 1]:
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canvas.set(nx + dx, ny + dy)
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smile_depth = radius // 8
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mouth_local_y = radius // 4
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mouth_length = radius
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for x_offset in range(-mouth_length // 2, mouth_length // 2 + 1):
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norm = abs(x_offset) / (mouth_length / 2)
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y_offset = int((1 - norm ** 2) * smile_depth)
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local_x = x_offset
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local_y = mouth_local_y + y_offset
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mx, my = rotate_point(local_x, local_y, 0, pitch_rad, yaw_rad)
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canvas.set(mx, my)
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return canvas.frame()
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