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Capstone_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:da54f1b3c01c21848716d266b5a8dfe044a6553b32bc7a519052556a61acff99
+size 52334736

app.py

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+import streamlit as st
+from tensorflow.keras.models import load_model
+from PIL import Image
+import numpy as np
+
+model=load_model('Capstone_model.h5')
+
+def process_image(img):
+    img=img.resize((100,100))  #boyutunu 170*170 pixel yaptık
+    img=np.array(img)
+    img=img/255.0  #Normalize ettik
+    img=np.expand_dims(img,axis=0)
+    return img
+
+st.title('Alman Trafik Isiklarini Tahmin Etme')
+st.write('Resim seç ve hangi trafik işareti olduğunu tahmin etsin')
+
+file=st.file_uploader('Bir Resim Sec', type=['jpg','jpeg','png'])
+
+if file is not None:
+    img=Image.open(file)
+    st.image(img,caption='yuklenen resim')
+    image=process_image(img)
+    prediction=model.predict(image)
+    predicted_class=np.argmax(prediction)
+
+    class_names=['Speed limit (20km/h)','Speed limit (30km/h)', 'Speed limit (50km/h)', 'Speed limit (60km/h)', 'Speed limit (70km/h)', 'Speed limit (80km/h)',
+        'End of speed limit (80km/h)', 'Speed limit (100km/h)', 'Speed limit (120km/h)', 'No passing', 'No passing veh over 3.5 tons', 
+        'Right-of-way at intersection', 'Priority road', 'Yield', 'Stop', 'No vehicles', 'Veh > 3.5 tons prohibited', 'No entry', 
+        'General caution', 'Dangerous curve left', 'Dangerous curve right', 'Double curve', 'Bumpy road', 'Slippery road', 'Road narrows on the right', 
+        'Road work', 'Traffic signals', 'Pedestrians', 'Children crossing', 'Bicycles crossing', 'Beware of ice/snow','Wild animals crossing', 
+        'End speed + passing limits', 'Turn right ahead', 'Turn left ahead', 'Ahead only', 'Go straight or right', 'Go straight or left', 
+        'Keep right', 'Keep left', 'Roundabout mandatory', 'End of no passing', 'End no passing veh > 3.5 tons']
+    st.write(class_names[predicted_class])

requirements.txt

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+streamlit
+tensorflow