changed project dir

combine_img.py

@@ -93,7 +93,7 @@ def cubemap_to_omnidirectional(cube_faces, out_width, out_height):
 if __name__ == "__main__":
     # Load the cubemap images
     #cube_faces_dir = input("Enter the directory containing the cubemap images: ").strip()
-    cube_faces_dir = "C:\Project\AV-VR-Internship\material_recognition\Dynamic-Backward-Attention-Transformer\output\split_output"
+    cube_faces_dir = "C:\Project\AVVR-Pipeline-Internship\material_recognition\Dynamic-Backward-Attention-Transformer\output\split_output"
 
     #faces = ["right", "left", "top", "bottom", "front", "back"]
     faces = ["rightrgb", "leftrgb", "toprgb", "bottomrgb", "frontrgb", "backrgb"]
@@ -136,6 +136,6 @@ if __name__ == "__main__":
     #print(f"height: {height}, width: {width}")
     omnidirectional_img = cubemap_to_omnidirectional(cube_faces, output_width, output_height)
     
-    output_path = "C:\Project\AV-VR-Internship\edgenet360\Data\Input\material.png"
+    output_path = "C:\Project\AVVR-Pipeline-Internship\edgenet360\Data\Input\material.png"
     imageio.v2.imsave(output_path, omnidirectional_img)
     print(f"Omnidirectional image saved to {output_path}")

split_img.py

@@ -76,7 +76,7 @@ def generate_cube_faces(input_path, output_path="cube_faces_output"):
 #     print("width: , Height:", width, height)
 #     #output_path = input("Enter output directory: ").strip()
 #     #if not output_path:
-#     output_path = "C:\Project\AV-VR-Internship\material_recognition\Dynamic-Backward-Attention-Transformer\split_output"
+#     output_path = "C:\Project\AVVR-Pipeline-Internship\material_recognition\Dynamic-Backward-Attention-Transformer\split_output"
 #     if not os.path.exists(output_path):
 #         os.makedirs(output_path)
 #     generate_cube_faces(input_path, output_path)
@@ -90,7 +90,7 @@ with open('path.txt', 'w') as file:
 
 #output_path = input("Enter output directory: ").strip()
 #if not output_path:
-output_path = "C:\Project\AV-VR-Internship\material_recognition\Dynamic-Backward-Attention-Transformer\split_output"
+output_path = "C:\Project\AVVR-Pipeline-Internship\material_recognition\Dynamic-Backward-Attention-Transformer\split_output"
 if not os.path.exists(output_path):
     os.makedirs(output_path)
 generate_cube_faces(input_path, output_path)

ui.py

@@ -16,7 +16,7 @@ def select_image():
 def get_res(path):
     img = cv2.imread(path)
     height, width, _ = img.shape
-    cv2.imwrite('C:\Project\AV-VR-Internship\edgenet360\Data\Input\\rgb.png', img)
+    cv2.imwrite('C:\Project\AVVR-Pipeline-Internship\edgenet360\Data\Input\\rgb.png', img)
 
     return height, width