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POSTECH-IMLAB · Jan 4, 2021 · be8cb2b · be8cb2b
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diff --git a/README.md b/README.md
@@ -7,9 +7,9 @@ TLR system designed for Hyundai Contest (2017).
 TLs are detected by using ACF and HUV-Histogram.
 
 ## Accurate Traffic Light Detection using Deep Neural Network with Focal Regression Loss (2018)
-Based on RGB camera, implmented with Caffe
+Based on RGB camera, implmented with Caffe.
 For training from scratch::
 train -solver tlr_yolov2_deconv_resnet101_focalloss4_4.prototxt
 
 For training from weights::
-train -solver tlr_yolov2_deconv_resnet101_focalloss4_4.prototxt -weights deconv_focal_tlr_iter_62000(best).caffemodel -gpu 0
+train -solver tlr_yolov2_deconv_resnet101_focalloss4_4.prototxt -weights deconv_focal_tlr_iter_62000(best).caffemodel -gpu 0
diff --git a/traffic_light_recognition b/traffic_light_recognition