From 48c68cea9d69056240527c8716551e3d452a8833 Mon Sep 17 00:00:00 2001
From: Muhammad-Hazimi-Yusri <mhby1g21@soton.ac.uk>
Date: Thu, 11 Jul 2024 11:26:40 +0100
Subject: [PATCH] changed project dir
---
combine_img.py | 4 ++--
split_img.py | 4 ++--
ui.py | 2 +-
3 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/combine_img.py b/combine_img.py
index 7cf359f..4e02ebd 100644
--- a/combine_img.py
+++ b/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}")
diff --git a/split_img.py b/split_img.py
index c11379e..83459dd 100644
--- a/split_img.py
+++ b/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)
diff --git a/ui.py b/ui.py
index 99a1d8a..6cd25e6 100644
--- a/ui.py
+++ b/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
--
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