我有一个带有tensorflow的对象检测输出结果。 这是一个13 * 13 * 125 float32数组。 （tiny-yolo-v2） 我可以将其与文本文件一起输出。
现在，我想编写另一个程序来解析文本文件。 如何使用numpy或其他方式将文本文件加载回数组？
我只想加载文本文件，并放置在正确的位置， 就像它是原始的（13 * 13 * 125）数组一样，所以我可以使用它来做点什么。 以下是文本输出的示例，完整文件太长，因此我将其截断了一部分。
[[[ 1.02357492e-02 -4.58745286e-02 -3.53223026e-01 1.05358012e-01
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-6.56721640e+00]
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-1.68392487e+01]
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[ 1.64787069e-01 -1.68441325e-01 4.64288980e-01 -7.47514069e-01
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-1.85209503e+01 -2.46299267e+01 -1.97363987e+01 -2.58215981e+01
-2.42690868e+01]
.
.
.
[-4.79533195e-01 -7.68981576e-01 -1.77157074e-01 -2.00561881e-01
-6.15729952e+00 -1.10808945e+01 -8.79792976e+00 -9.85613537e+00
-1.03026905e+01 -6.87720442e+00 -1.21334057e+01 -7.71150637e+00
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-8.39977741e+00 -1.11510391e+01 -1.21788979e+01 -1.27471313e+01
-9.78714943e+00 1.04039955e+00 -1.47011960e+00 -1.81243956e+00
-1.05356848e+00 -7.45137024e+00 -1.10531626e+01 -7.84224939e+00
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-1.00534191e+01 -9.97209167e+00 -1.05166273e+01 -9.29751587e+00
-7.26231098e+00 -1.13336391e+01 -9.37137890e+00 -1.04662256e+01
-7.50347424e+00 -1.16567268e+01 -1.01384783e+01 -1.12277622e+01
-1.08337603e+01 -9.39500999e+00 -6.51295757e+00 -9.02511883e+00
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-1.18921404e+01 -1.08112535e+01 -9.73410416e+00 -7.14041519e+00
-8.62492752e+00 -1.10488844e+01 -1.03341990e+01 -1.04487247e+01
-1.07167931e+01]]]
我尝试使用以下格式，它可以读出某些内容，但是顺序完全错误
net_out = np.fromfile(filename, np.float32, count=13*13*125).reshape(13,13,125)