Skip to content
GitLab
Projects
Groups
Snippets
/
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Menu
Open sidebar
bob
bob.measure
Commits
fb8f306c
Commit
fb8f306c
authored
Oct 28, 2016
by
Manuel Günther
Browse files
Also provide generic function for cmc scores
parent
18ecfb37
Pipeline
#5145
passed with stages
in 5 minutes and 56 seconds
Changes
1
Pipelines
1
Hide whitespace changes
Inline
Side-by-side
bob/measure/load.py
View file @
fb8f306c
...
...
@@ -159,22 +159,8 @@ def cmc_four_column(filename):
"""
# extract positives and negatives
pos_dict
=
{}
neg_dict
=
{}
# read four column list
for
(
client_id
,
probe_id
,
probe_name
,
score
)
in
four_column
(
filename
):
# check in which dict we have to put the score
correct_dict
=
pos_dict
if
client_id
==
probe_id
else
neg_dict
# append score
if
probe_name
in
correct_dict
:
correct_dict
[
probe_name
].
append
(
score
)
else
:
correct_dict
[
probe_name
]
=
[
score
]
# convert that into the desired format
return
_convert_cmc_scores
(
neg_dict
,
pos_dict
)
score_lines
=
four_column
(
filename
)
return
_split_cmc_scores
(
score_lines
,
1
)
def
five_column
(
filename
):
...
...
@@ -274,22 +260,9 @@ def cmc_five_column(filename):
``positive`` scores for one probe of the database.
"""
# extract positives and negatives
pos_dict
=
{}
neg_dict
=
{}
# read four column list
for
(
client_id
,
_
,
probe_id
,
probe_name
,
score
)
in
five_column
(
filename
):
# check in which dict we have to put the score
correct_dict
=
pos_dict
if
client_id
==
probe_id
else
neg_dict
# append score
if
probe_name
in
correct_dict
:
correct_dict
[
probe_name
].
append
(
score
)
else
:
correct_dict
[
probe_name
]
=
[
score
]
score_lines
=
four_column
(
filename
)
return
_split_cmc_scores
(
score_lines
,
2
)
# convert that into the desired format
return
_convert_cmc_scores
(
neg_dict
,
pos_dict
)
def
load_score
(
filename
,
ncolumns
=
None
):
...
...
@@ -431,12 +404,22 @@ def _split_scores(score_lines, real_id_index, claimed_id_index = 0, score_index
return
(
numpy
.
array
(
negatives
),
numpy
.
array
(
positives
))
def
_convert_cmc_scores
(
neg_dict
,
pos_dict
):
"""Converts the negative and positive scores read with
:py:func:`cmc_four_column` or :py:func:`cmc_four_column` into a format that
is handled by the :py:func:`bob.measure.cmc` and similar functions.
def
_split_cmc_scores
(
score_lines
,
real_id_index
,
probe_name_index
=
None
,
claimed_id_index
=
0
,
score_index
=
-
1
):
"""Takes the output of :py:func:`four_column` or :py:func:`five_column` and return cmc scores.
"""
if
probe_name_index
is
None
:
probe_name_index
=
real_id_index
+
1
# extract positives and negatives
pos_dict
=
{}
neg_dict
=
{}
# read four column list
for
line
in
score_lines
:
which
=
pos_dict
if
line
[
claimed_id_index
]
==
line
[
real_id_index
]
else
neg_dict
probe_name
=
line
[
probe_name_index
]
# append score
if
probe_name
not
in
which
:
which
[
probe_name
]
=
[]
which
[
probe_name
].
append
(
line
[
score_index
])
# convert to lists of tuples of ndarrays (or None)
probe_names
=
sorted
(
set
(
neg_dict
.
keys
()).
union
(
set
(
pos_dict
.
keys
())))
...
...
Write
Preview
Supports
Markdown
0%
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment