Add examples to README

1 files changed, 2 insertions, 3 deletions

diff --git a/opt.py b/opt.py
index e29495e..873b14d 100755
--- a/opt.py
+++ b/opt.py
@@ -42,7 +42,7 @@ parser.add_argument("-e", "--euclidean", help="Use standard euclidean distance",
 parser.add_argument("-r", "--rerank", help="Use k-reciprocal rernaking", action='store_true')
 parser.add_argument("-a", "--reranka", help="Parameter k1 for rerank", type=int, default = 9)
 parser.add_argument("-b", "--rerankb", help="Parameter k2 for rerank", type=int, default = 3)
-parser.add_argument("-l", "--rerankl", help="Parameter lambda fo rerank", type=float, default = 0.3)
+parser.add_argument("-l", "--rerankl", help="Parameter lambda for rerank", type=float, default = 0.3)
 parser.add_argument("-n", "--neighbors", help="Use customized ranklist size NEIGHBORS", type=int, default = 1)
 parser.add_argument("-v", "--verbose", help="Use verbose output", action='store_true')
 parser.add_argument("-s", "--showrank", help="Save ranklist pics id in a txt file for first SHOWRANK queries", type=int, default = 0)
@@ -52,7 +52,7 @@ parser.add_argument("-C", "--comparison", help="Compare baseline and improved me
 parser.add_argument("--data", help="Folder containing data", default='data')
 parser.add_argument("-K", "--kmean", help="Perform Kmean clustering, KMEAN number of clusters", type=int, default=0)
 parser.add_argument("-A", "--mAP", help="Display Mean Average Precision", action='store_true')
-parser.add_argument("-P", "--PCA", help="Perform pca with PCA eigenvectors", type=int, default=0)
+parser.add_argument("-P", "--PCA", help="Perform pca with PCA eigenvectors", type=int, default=50)
 
 args = parser.parse_args()
 
@@ -118,7 +118,6 @@ def kopt(camId, filelist, labels, gallery_idx, train_idx, feature_vectors, args)
     start = np.array([1,1])
     if args.mAP:
         args.neighbors = 10
-    args.PCA = 50
     args.train = True
     args.rerank = True
     args.reranka = 1