From d8b633d900cacb2582e54aa3b9c772a5b95b2e87 Mon Sep 17 00:00:00 2001
From: nunzip <np.scarh@gmail.com>
Date: Wed, 12 Dec 2018 18:45:56 +0000
Subject: Fix top comments

---
 evaluate.py       |  6 ++++--
 lib/kmean.py      |  6 ++++++
 lib/rerank.py     |  2 ++
 opt.py            |  6 ++++--
 report2/README.md | 50 --------------------------------------------------
 5 files changed, 16 insertions(+), 54 deletions(-)
 delete mode 100644 report2/README.md

diff --git a/evaluate.py b/evaluate.py
index 47d23a1..4c1264e 100755
--- a/evaluate.py
+++ b/evaluate.py
@@ -2,8 +2,10 @@
 # Author: Vasil Zlatanov, Nunzio Pucci
 # EE4 Pattern Recognition coursework
 #
-# usage: part2.py [-h] [-t] [-cm] [-km] [-ma] [-e] [-r] [-ka RERANKA]
-#                [-kb RERANKB] [-v]
+# usage: evaluate.py [-h] [-t] [-c] [-k] [-m] [-e] [-r] [-a RERANKA]
+#               [-b RERANKB] [-l RERANKL] [-n NEIGHBORS] [-v]
+#               [-s SHOWRANK] [-1] [-M MULTRANK] [-C] [DATA]
+#               [-K KMEAN] [-A] [-P PCA]
 
 import matplotlib.pyplot as plt
 from mpl_toolkits.mplot3d import Axes3D
diff --git a/lib/kmean.py b/lib/kmean.py
index 64ab166..01224e0 100644
--- a/lib/kmean.py
+++ b/lib/kmean.py
@@ -1,3 +1,9 @@
+#!/usr/bin/env python
+# Author: Vasil Zlatanov, Nunzio Pucci
+# EE4 Pattern Recognition coursework
+#
+# usage: kmean.py 
+
 from logging import debug
 import numpy as np
 from sklearn.cluster import KMeans
diff --git a/lib/rerank.py b/lib/rerank.py
index 6fb5b7b..fc9f020 100644
--- a/lib/rerank.py
+++ b/lib/rerank.py
@@ -1,3 +1,5 @@
+#https://github.com/zhunzhong07/person-re-ranking/tree/master/CUHK03-NP
+
 from scipy.spatial.distance import cdist
 import numpy as np
 from logging import debug
diff --git a/opt.py b/opt.py
index 1df9c8f..ee63cc0 100755
--- a/opt.py
+++ b/opt.py
@@ -2,8 +2,10 @@
 # Author: Vasil Zlatanov, Nunzio Pucci
 # EE4 Pattern Recognition coursework
 #
-# usage: part2.py [-h] [-t] [-cm] [-km] [-ma] [-e] [-r] [-ka RERANKA]
-#                [-kb RERANKB] [-v]
+# usage: opt.py [-h] [-t] [-c] [-k] [-m] [-e] [-r] [-a RERANKA]
+#               [-b RERANKB] [-l RERANKL] [-n NEIGHBORS] [-v]
+#               [-s SHOWRANK] [-1] [-M MULTRANK] [-C] [DATA]
+#               [-K KMEAN] [-A] [-P PCA]
 
 import matplotlib.pyplot as plt
 from mpl_toolkits.mplot3d import Axes3D
diff --git a/report2/README.md b/report2/README.md
deleted file mode 100644
index 92f592d..0000000
--- a/report2/README.md
+++ /dev/null
@@ -1,50 +0,0 @@
-```
-usage: evaluate.py [-h] [-t] [-c] [-k] [-m] [-e] [-r] [-p RERANKA]
-                   [-q RERANKB] [-l RERANKL] [-n NEIGHBORS] [-v] [-s SHOWRANK]
-                   [-1] [-M MULTRANK] [-C COMPARISON] [--data DATA] [-K KMEAN]
-                   [-P] [-2 PCA]
-
-optional arguments:
-  -h, --help            show this help message and exit
-  -t, --train           Use train data instead of query and gallery
-  -c, --conf_mat        Show visual confusion matrix
-  -k, --kmean_alt       Perform clustering with generalized labels(not actual
-                        kmean)
-  -m, --mahalanobis     Perform Mahalanobis Distance metric
-  -e, --euclidean       Use standard euclidean distance
-  -r, --rerank          Use k-reciprocal rernaking
-  -p RERANKA, --reranka RERANKA
-                        Parameter k1 for rerank -p '$k1val' -ARGUMENT
-                        REQUIRED, default=9-
-  -q RERANKB, --rerankb RERANKB
-                        Parameter k2 for rerank -q '$k2val' -ARGUMENT
-                        REQUIRED, default=3-
-  -l RERANKL, --rerankl RERANKL
-                        Coefficient to combine distances(lambda) -l
-                        '$lambdaval' -ARGUMENT REQUIRED, default=0.3-
-  -n NEIGHBORS, --neighbors NEIGHBORS
-                        Use customized ranklist size -n 'size' -ARGUMENT
-                        REQUIRED, default=1-
-  -v, --verbose         Use verbose output
-  -s SHOWRANK, --showrank SHOWRANK
-                        Save ranklist pics id in a txt file. Number of
-                        ranklists saved specified as -s '$number' -ARGUMENT
-                        REQUIRED, default=0-
-  -1, --normalise       Normalise features
-  -M MULTRANK, --multrank MULTRANK
-                        Run for different ranklist sizes equal to M -ARGUMENT
-                        REQUIRED, default=1-
-  -C COMPARISON, --comparison COMPARISON
-                        Set to 2 to obtain a comparison of baseline and
-                        improved metric -ARGUMENT REQUIRED, default=1-
-  --data DATA           You can either put the data in a folder called 'data',
-                        or specify the location with --data 'path' -ARGUMENT
-                        REQUIRED, default='data'-
-  -K KMEAN, --kmean KMEAN
-                        Perform Kmean clustering of size specified through -K
-                        '$size' -ARGUMENT REQUIRED, default=0-
-  -P, --mAP             Display Mean Average Precision for ranklist of size -n
-                        '$size'
-  -2 PCA, --PCA PCA     Use PCA with -2 '$n_components' -ARGUMENT REQUIRED,
-                        default=0-
-```
-- 
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