Update pages/7_Unstructured_data.py

pages/7_Unstructured_data.py

@@ -484,6 +484,7 @@ if file_type == "IMAGE":
         tx = 100
         ty = 100
         t_m = np.array([[1,0,tx],[0,1,ty]],dtype=np.float32)
+        ## applies the translation affine transformation using warpAffine
         t_img = cv2.warpAffine(img,t_m,(2560,1600),borderMode=cv2.BORDER_CONSTANT,borderValue=(0,0,0))
         ## save and display the image
         cv2.imshow("org_img",img)
@@ -518,6 +519,7 @@ if file_type == "IMAGE":
         import cv2
         ## creation of rotation matrix
         r_m = cv2.getRotationMatrix2D((800,1280),0,1)
+        ## applies the rotation affine transformation using warpAffine
         r_img = cv2.warpAffine(img,r_m,(2560,1600))
         ## save and display the image 
         cv2.imshow("org_img",img)
@@ -553,14 +555,47 @@ if file_type == "IMAGE":
         tx = 0
         ty = 0
         sc_m = np.array([[sx,0,tx],[0,sy,ty]],dtype=np.float32)
-        ## save and display the image
+        ## applies the scaling affine transformation using warpAffine
         scale_img = cv2.warpAffine(img,sc_m,(2560,1600))
+        ## save and display the image
         cv2.imshow("org_img",img)
         cv2.imshow("scaled_img",scale_img)
         cv2.waitKey()
         cv2.destroyAllWindows()
         ''')
-
+        st.subheader('**Shearing**')
+        st.markdown('''
+        - Shearing is a affine transformation matrix which is used for expansion on x-axis and y-axis
+        - Formula:
+            $$
+            I(x,y) \cdot Shearing matrix = I'(x',y') 
+            $$
+        - **Shearing matrix:**
+        - [1 Shx Tx
+        
+           Shy 1 Ty]
+        - Formula:
+            $$
+            x' = x + shearX \cdot y \\
+            y' = y + shearY \cdot x
+            $$
+        ''')
+        st.code('''
+        import cv2
+        ## creation of shearing matrix
+        shx = 0.3
+        shy = 1
+        tx = 100
+        ty = 100
+        sh_m = np.array([[1,shx,tx],[shy,1,ty]],dtype=np.float32)
+        ## applies the shearing affine transformation using warpAffine
+        shear_img = cv2.warpAffine(img,sh_m,(2560,1600))
+        ## save and display the image
+        cv2.imshow("org_img",img)
+        cv2.imshow("shear_img",shear_img)
+        cv2.waitKey()
+        cv2.destroyAllWindows()
+        ''')