我正在尝试使用Conda上安装在我的ubuntu上的bob包;但是，在使用"builders": [{
"type": "amazon-ebs",
"access_key": "XXXXXXXXXXXXXXXXXXXXXXX",
"secret_key": "XXXXXXXXXXXXXXXXXXXXXXX",
"region": "us-east-1",
"source_ami": "XXXXXXXXXXXXXXXXXXXXXXX",
"instance_type": "m4.2xlarge",
"ssh_username": "ubuntu",
"ami_users": [
"XXXXXXXXXXXX",
"YYYYYYYYYYYY"
],
"ami_name": "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
"launch_block_device_mappings": [{
"device_name": "/dev/sda1",
"volume_type": "gp2",
"delete_on_termination": true,
"volume_size": 30
}]
}]
之类的任何测量API时，会出现以下错误。我已经用1D数组准备了数据，但错误仍然存在。我也尝试将纯1D数组传递给函数，但它不起作用。错误：
bob.measure.eer_threshold这是代码：
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)
文件：
Genuine.txt和8873
2601
2554
11872
3867
4048
6983
3833
3988
5321
2761
2139
8498
2719
3128
3790
2937
2394
：
Impostor.txt请帮助我如何格式化和准备这些bob API方法的数据。