50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
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import numpy as np
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import cv2
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import matplotlib.pyplot as plt
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#add for background
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# background_image = cv2.imread('./origionSeg.png')
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# resized_image = cv2.resize(background_image, (100, 100))
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# 创建一个空白图像（假设大小为100x100）
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height, width = 100, 100
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segmentation_result = np.zeros((height, width), dtype=np.uint8)
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# 创建一些分割区域
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segmentation_result[10:30, 10:30] = 50 # 区域1
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segmentation_result[40:60, 40:60] = 100 # 区域2
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segmentation_result[70:90, 70:90] = 150 # 区域3
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segmentation_result[20:50, 70:90] = 200 # 区域4
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# 保存图像
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cv2.imwrite('segmentation_result.png', segmentation_result)
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segmentation_result = cv2.imread('segmentation_result.png', cv2.IMREAD_GRAYSCALE)
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height, width = segmentation_result.shape
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fig = plt.figure()
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ax = fig.add_subplot(111, projection='3d')
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#add for background
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# ax.imshow(resized_image)
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unique_labels = np.unique(segmentation_result)
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heights = np.linspace(1, 10, len(unique_labels)) # 高度范围从1到10，可以根据需要调整
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for i, label in enumerate(unique_labels):
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mask = (segmentation_result == label)
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x, y = np.meshgrid(np.arange(width), np.arange(height))
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x = x[mask]
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y = y[mask]
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z = np.zeros_like(x)
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dz = np.full_like(x, heights[i])
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ax.bar3d(x, y, z, 1, 1, dz, shade=True)
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ax.set_xlabel('X axis')
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ax.set_ylabel('Y axis')
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ax.set_zlabel('Height')
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plt.show()
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