Detecting traffic signs using YOLO algorithm
git clone https://github.com/AmeyaWagh/Traffic_sign_detection_YOLO.gitcd darkflow
python3 setup.py build_ext --inplacepip install .flow --hGo back and create a new folder called "dataset" in base directory. Download and extract LISA dataset into the dataset folder
cd ..
mkdir datasetpython3 datasetGenerator.pygoto darkflow and create "built_graph" directory inside darkflow if you are not training, and save pb and meta files there (pb and meta files can be downloaded here "https://drive.google.com/file/d/171AyNg4zSmz4OXhfcdgU2cxrqTfIV2BD/view?usp=sharing")
cd darkflow
mkdir built_graph{
"yoloConfig":{
"pbLoad": "./built_graph/tiny-yolo-voc27.pb",
"metaLoad": "./built_graph/tiny-yolo-voc27.meta",
"labels":"../labels.txt",
"threshold":0.01,
"gpu":0.7
},
"dataset":"./dataset"
}./runYOLOcd darkflow
./trainYOLO