Initial Commit (tested training, testing, and TRT conversion)
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25
run/utils/log_plot.py
Executable file
25
run/utils/log_plot.py
Executable file
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import numpy as np
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import matplotlib.pyplot as plt
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if __name__ == '__main__':
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file_path = "/home/lu/flightmare/flightmare/run/utils/dist.csv"
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temp = np.loadtxt(file_path, dtype=float, delimiter=",")
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file_path = "/home/lu/flightmare/flightmare/run/utils/dist_x.csv"
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tempX = np.loadtxt(file_path, dtype=float, delimiter=",")
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plt.plot(tempX, temp)
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plt.show()
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print("dist min:", np.min(temp))
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file_path = "/home/lu/flightmare/flightmare/run/utils/ctrl_log.csv"
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ctrl_log = np.loadtxt(file_path, dtype=float, delimiter=",")
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v_total = np.sqrt(
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ctrl_log[:, 3] * ctrl_log[:, 3] + ctrl_log[:, 4] * ctrl_log[:, 4] + ctrl_log[:, 5] * ctrl_log[:, 5])
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print("v max: ", np.max(v_total))
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plt.plot(ctrl_log[:, 3], label='vx')
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plt.plot(ctrl_log[:, 4], label='vy')
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plt.plot(ctrl_log[:, 5], label='vz')
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plt.plot(v_total, label='v_total')
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plt.plot(ctrl_log[:, 6], label='ax')
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plt.plot(ctrl_log[:, 7], label='ay')
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plt.plot(ctrl_log[:, 8], label='az')
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plt.legend()
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plt.show()
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