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import numpy as np
pose = np.array(
[[[2.6978e+02, 5.4799e+01, 9.9702e-01],
[2.7735e+02, 8.0360e+01, 9.9991e-01],
[2.7792e+02, 1.0644e+02, 9.9998e-01],
[2.7866e+02, 1.3190e+02, 9.9988e-01],
[2.8056e+02, 1.5711e+02, 8.7975e-01]],
[[2.7160e+02, 1.8630e+02, 9.9943e-01],
[2.7907e+02, 2.1047e+02, 9.9792e-01],
[2.7965e+02, 2.3873e+02, 9.4452e-01],
[2.8155e+02, 2.6565e+02, 9.4245e-02],
[2.8508e+02, 2.8900e+02, 4.7978e-05]],
[[2.7191e+02, 1.8308e+02, 9.7766e-01],
[2.7931e+02, 2.0942e+02, 9.9106e-01],
[2.8075e+02, 2.3690e+02, 9.9677e-01],
[2.8196e+02, 2.6651e+02, 8.2379e-01],
[2.8113e+02, 2.8766e+02, 6.3545e-05]]]
)
segment = np.array(
[[ 81.934, 247.37],
[ 81.934, 248.93],
[ 80.369, 250.5],
[ 79.847, 250.5],
[ 79.325, 251.02],
[ 78.803, 251.02],
[ 78.281, 251.54],
[ 77.759, 251.54],
[ 77.238, 252.07],
[ 76.194, 252.07],
[ 75.672, 252.59],
[ 74.106, 252.59],
[ 73.584, 253.11],
[ 72.541, 253.11],
[ 72.019, 253.63],
[ 70.975, 253.63],
[ 70.453, 254.15],
[ 69.409, 254.15],
[ 68.888, 254.68],
[ 68.366, 254.68],
[ 67.844, 255.2],
[ 65.756, 255.2],
[ 65.234, 255.72],
[ 64.191, 255.72],
[ 63.669, 256.24],
[ 61.581, 256.24],
[ 61.059, 256.76],
[ 58.45, 256.76],
[ 57.928, 257.28],
[ 55.319, 257.28],
[ 54.797, 257.81],
[ 52.188, 257.81],
[ 51.666, 258.33],
[ 48.534, 258.33],
[ 48.013, 258.85],
[ 44.881, 258.85],
[ 44.359, 259.37],
[ 38.097, 259.37],
[ 37.575, 259.89],
[ 1.0438, 259.89],
[ 1.0438, 333.48],
[ 333.48, 333.48],
[ 333.48, 269.29],
[ 332.43, 269.29],
[ 331.91, 268.77],
[ 322.52, 268.77],
[ 322, 268.24],
[ 315.21, 268.24],
[ 314.69, 267.72],
[ 311.04, 267.72],
[ 310.52, 268.24],
[ 302.69, 268.24],
[ 302.17, 268.77],
[ 288.6, 268.77],
[ 288.08, 268.24],
[ 284.42, 268.24],
[ 283.9, 267.72],
[ 280.77, 267.72],
[ 280.25, 267.2],
[ 278.16, 267.2],
[ 277.64, 266.68],
[ 276.07, 266.68],
[ 275.55, 266.16],
[ 274.51, 266.16],
[ 273.98, 265.63],
[ 270.85, 265.63],
[ 270.33, 265.11],
[ 264.59, 265.11],
[ 264.07, 264.59],
[ 258.33, 264.59],
[ 257.81, 264.07],
[ 254.68, 264.07],
[ 254.15, 263.55],
[ 251.54, 263.55],
[ 251.02, 263.02],
[ 249.46, 263.02],
[ 248.93, 262.5],
[ 246.85, 262.5],
[ 246.33, 261.98],
[ 244.76, 261.98],
[ 244.24, 261.46],
[ 237.45, 261.46],
[ 236.93, 260.94],
[ 236.41, 261.46],
[ 231.71, 261.46],
[ 231.19, 261.98],
[ 228.06, 261.98],
[ 227.54, 262.5],
[ 223.36, 262.5],
[ 222.84, 263.02],
[ 217.1, 263.02],
[ 216.58, 262.5],
[ 212.4, 262.5],
[ 211.88, 261.98],
[ 210.84, 261.98],
[ 210.32, 261.46],
[ 208.75, 261.46],
[ 208.23, 260.94],
[ 206.66, 260.94],
[ 206.14, 260.42],
[ 203.53, 260.42],
[ 203.01, 259.89],
[ 198.31, 259.89],
[ 197.79, 259.37],
[ 192.05, 259.37],
[ 191.53, 258.85],
[ 187.88, 258.85],
[ 187.35, 258.33],
[ 185.79, 258.33],
[ 185.27, 257.81],
[ 183.7, 257.81],
[ 183.18, 257.28],
[ 180.57, 257.28],
[ 180.05, 256.76],
[ 174.83, 256.76],
[ 174.31, 256.24],
[ 165.96, 256.24],
[ 165.43, 255.72],
[ 158.13, 255.72],
[ 157.61, 255.2],
[ 152.39, 255.2],
[ 151.87, 254.68],
[ 130.99, 254.68],
[ 130.47, 255.2],
[ 129.95, 254.68],
[ 125.25, 254.68],
[ 124.73, 254.15],
[ 123.16, 254.15],
[ 122.64, 253.63],
[ 122.12, 253.63],
[ 121.6, 253.11],
[ 120.55, 253.11],
[ 120.03, 252.59],
[ 119.51, 252.59],
[ 118.99, 252.07],
[ 118.47, 252.07],
[ 117.94, 251.54],
[ 117.42, 251.54],
[ 115.86, 249.98],
[ 115.33, 249.98],
[ 114.81, 249.46],
[ 114.81, 247.37]]
)