Update app.py

app.py

@@ -56,21 +56,24 @@ scal = st.checkbox("Scaling")
 shearing=st.checkbox("Shearing")
 crop=st.checkbox("Crop")
 
-transformation = []
-if trans:
-    transformation.append("Translation")
-if rot:
-    transformation.append("Rotation")
-if scal:
-    transformation.append("Scaling")
-if shearing:
-    transformation.append("Shearing")
-if crop:
-    transformation.append("Crop")
-
-st.button("Submit")
-
 
+    
+btn=st.button("Submit")
+# count=len(transformation)
+# for i in range(image_count):
+#     for j in transformation:
+#         if i=="Translation":
+#             tx=250
+#             ty=250
+#             tm=np.array([[1,0,tx],[0,1,ty]],dtype=np.float32)
+def transalation(img):
+    tx=np.random.randint(2,60)
+    ty=np.random.randint(2,55)
+    tm=np.array([[1,0,tx],[0,1,ty]],dtype=np.float32)
+    trans_img=cv2.warpAffine(img,tm)
+    img=cv2.imdecode(trans_img,cv2.IMREAD_COLOR)
+    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    st.image(img_rgb, caption="Uploaded Image (OpenCV)", use_container_width=True)
 
 
 if uploaded_file is not None:
@@ -80,6 +83,18 @@ if uploaded_file is not None:
     img=cv2.imdecode(img_array,cv2.IMREAD_COLOR)
      # Convert BGR to RGB as streamlit expects RGB colorspace
     img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    transformation = []
+    if trans:
+        transalation(img_rgb)
+        transformation.append("Translation")
+    if rot:
+        transformation.append("Rotation")
+    if scal:
+        transformation.append("Scaling")
+    if shearing:
+        transformation.append("Shearing")
+    if crop:
+        transformation.append("Crop")