Upload 3 files

Vehice_detection.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03412eee59a5234dc23bcc30aa0668b4aa095a18322f56596f028cbaf42e8591
+size 77347344

app.py

@@ -0,0 +1,28 @@
+import streamlit as st
+from tensorflow.keras.models import load_model
+from PIL import Image
+import numpy as np
+
+model=load_model('Vehice_detection.h5')
+
+def process_image(img):
+    img=img.resize((120,120))  #boyutunu 120*120 pixel yaptık
+    img=np.array(img)
+    img=img/255.0  #Normalize ettik
+    img=np.expand_dims(img,axis=0)
+    return img
+
+st.title('Vehicle vs Non-Vehicle')
+st.write("Choose a picture and guess whether it's a vehicle or Not Vehicle")
+
+file=st.file_uploader('Choose a picture', type=['jpg','jpeg','png'])
+
+if file is not None:
+    img=Image.open(file)
+    st.image(img,caption='uploaded image')
+    image=process_image(img)
+    prediction=model.predict(image)
+    predicted_class=np.argmax(prediction)
+
+    class_names=['non-vehicles','vehicles']
+    st.write(class_names[predicted_class])

requirements.txt

@@ -0,0 +1,2 @@
+streamlit 
+tensorflow