import numpy as np import matplotlib.pyplot as plt def draw_ellipse_arc(xc, yc, a, b, theta, phi1, phi2, num_points=200): """ »æÖÆÍÖÔ²»¡ Args: xc, yc (float): ÍÖÔ²ÖÐÐÄ×ø±ê a, b (float): ³¤¶Ì°ëÖá (a >= b) theta (float): ÍÖÔ²ÄæÊ±ÕëÐýת½Ç¶È£¨»¡¶È£© phi1, phi2 (float): »¡Ï߯ðʼ½Ç£¨»¡¶È£©£¬Çø¼ä [0, 2¦Ð) num_points (int): »æÖƾ«¶È """ # Éú³É»¡Ïß²ÎÊý phi = np.linspace(phi1, phi2, num_points) # ÍÖÔ²±ê×¼·½³ÌÉϵĵã x = a * np.cos(phi) y = b * np.sin(phi) # Ðýת¾ØÕó cos_t = np.cos(theta) sin_t = np.sin(theta) xr = x * cos_t - y * sin_t + xc yr = x * sin_t + y * cos_t + yc # »æÍ¼ plt.figure(figsize=(6,6)) plt.plot(xr, yr, 'r-', linewidth=2) plt.scatter([xc], [yc], color='blue', label='Center') plt.axis('equal') plt.title("Ellipse Arc") plt.grid(True) plt.show() if __name__ == "__main__": """ Tensor(shape=(7,), dtype=torch.float32, device=cpu, values=[1025.0, 560.0, 131.87399291992188, 116.3759994506836, -0.5879999995231628, 2.1936283111572266, 3.825697898864746])Tensor(shape=(7,), dtype=torch.float32, device=cpu, values=[721.0, 527.0, 121.36299896240234, 134.70399475097656, -0.02500000037252903, 2.0525598526000977, 4.132845878601074]) 111values=[1022.0, 443.0, 88.08300018310547, 118.55699920654297, 2.7829999923706055, 5.329736709594727, 0.142518550157547]) values=[1123.0, 923.0, 158.6739959716797, 182.2220001220703, 0.6779999732971191, 0.8875003457069397, 2.6391656398773193]) Tensor(shape=(7,), dtype=torch.float32, device=cpu, values=[618.0, 542.0, 128.01300048828125, 141.08799743652344, 0.37400001287460327, 1.150931477546692, 5.289559364318848])\ Tensor(shape=(7,), dtype=torch.float32, device=cpu, values=[850.0, 365.0, 159.79400634765625, 121.38099670410156, -3.078000068664551, 4.8650922775268555, 5.932548522949219]) """ # ʾÀý£º´Ó tensor ÖлñÈ¡µÄÖµ xc, yc, a, b, theta, phi1, phi2 = [ 1022.0, 443.0, 88.08300018310547, 118.55699920654297, 2.7829999923706055, 5.329736709594727, 0.142518550157547 ] draw_ellipse_arc(xc, yc, a, b, theta, phi1, phi2)