Fix top comments

5 files changed, 16 insertions, 54 deletions

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-

-```