update traffic tedection folder

YaelBenShalom · Mar 21, 2021 · e75b264 · e75b264
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diff --git a/traffic_signs_detection/traffic_signs_classification/data/label_names.csv b/traffic_signs_detection/traffic_signs_classification/data/label_names.csv
diff --git a/...fic_signs_detection/traffic_signs_classification/images/Accuracy (1 Epochs).png b/...fic_signs_detection/traffic_signs_classification/images/Accuracy (1 Epochs).png
diff --git a/traffic_signs_detection/traffic_signs_classification/images/Losses (1 Epochs).png b/traffic_signs_detection/traffic_signs_classification/images/Losses (1 Epochs).png
diff --git a/...ion/traffic_signs_classification/images/Screenshot from 2021-03-18 23-33-44.png b/...ion/traffic_signs_classification/images/Screenshot from 2021-03-18 23-33-44.png
diff --git a/traffic_signs_detection/traffic_signs_recognition/README.md b/traffic_signs_detection/traffic_signs_recognition/README.md
@@ -5,7 +5,7 @@ This module is a part of a [Traffic-Sign Recognition and Classification](https:/
 
 
 ## Module Overview
-In this module I trained a neural network to detect and classify different traffic signs using PyTorch, YOLOv3 and OpenCV.<br>
+In this module, I trained a neural network to detect and classify different traffic signs using PyTorch, YoloV5 and OpenCV.<br>
 I based my program on the German Traffic Sign Detection Benchmark ([GTSBB](https://benchmark.ini.rub.de/gtsdb_news.html)) dataset.
 
 An example of output video:<br>

diff --git a/traffic_signs_detection/traffic_signs_recognition/data/label_names.csv b/traffic_signs_detection/traffic_signs_recognition/data/label_names.csv
diff --git a/traffic_signs_detection/traffic_signs_recognition/data/mean_image_rgb.pickle b/traffic_signs_detection/traffic_signs_recognition/data/mean_image_rgb.pickle