Python bob package API - 如何格式化输入数据

Question

我正在尝试使用安装在我 ubuntu 上的 bob 包，使用 Conda；但是，在使用 API 之类的任何测量 bob.measure.eer_threshold 时，会出现以下错误。我已经准备好一维数组中的数据，但错误仍然存在。我也尝试将纯一维数组传递给函数，但它不起作用。错误：

Traceback (most recent call last):   File "Test_bob.py", line 29, in <module>
threshold = bob.measure.eer_threshold(negatives, positives) ValueError: cannot convert `numpy.ndarray' which doesn't behave (memory contiguous, aligned, C-style, minimum 1 and up to 4 dimensions) into a `bob.blitz.array'

这是代码：

import bob
import bob.measure
import bob.blitz
import math
import numpy
from matplotlib import pyplot

fImpostor= open("Impostor.txt", "r")
fGenuine= open("Genuine.txt", "r")

positive_scores = []
negative_scores = []

for line in fImpostor:
    ImpScore = line.split()
    negative_scores.append(ImpScore[0])
fImpostor.close()

for line in fGenuine:
    GenScore = line.split()
    positive_scores.append(GenScore[0])
fGenuine.close()

positives = numpy.array(positive_scores)
negatives = numpy.array(negative_scores)

threshold = bob.measure.eer_threshold(negatives, positives)
FAR, FRR = bob.measure.eer_rocch(negatives, positives)

这是 Genuine.txt 文件：

和 Impostor.txt:

请帮助我如何为此类 bob API 方法格式化和准备数据。

Answer 1

那个函数 expects a 1D array of floats, but you are actually reading your data in as strings. Additionally, instead of implementing the data-loading yourself, you could for instance use numpy.loadtxt 可以为你做这件事。

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