added codes

compare.py

@@ -0,0 +1,54 @@
+import os
+from glob import glob
+
+img_dir = 'C:/Users/pinb/Desktop/imgs'
+mask_dir = 'C:/Users/pinb/Desktop/masks'
+
+names = ['gold_ii',
+        'gold_ie',
+         'gold_io',
+         'gold_ee',
+         'gold_ei',
+         'gold_eo',
+         'gold_oi',
+         'gold_oe',
+         'gold_oo',
+         'silver_ii',
+         'silver_ie',
+         'silver_io',
+         'silver_ee',
+         'silver_ei',
+         'silver_eo',
+         'silver_oi',
+         'silver_oe',
+         'silver_oo']
+
+
+list_imgs = glob(os.path.join(img_dir, '**', '*.png'), recursive=True)
+list_masks = glob(os.path.join(mask_dir, '**', '*.png'), recursive=True)
+
+remove_file = []
+
+# 마스크 파일 이름 목록 생성 (확장자 제거 및 '_mask' 추가)
+list_imgs_basenames = set([x.replace('_mask', '').replace(mask_dir, img_dir) for x in list_masks])
+
+# list_imgs에서 list_masks에 없는 파일 찾기
+imgs_to_delete = [mask for mask in list_imgs_basenames if mask not in list_imgs]
+
+print(len(list_imgs))     
+print(len(list_masks))     
+print(len(imgs_to_delete))
+print(imgs_to_delete)
+
+masks_to_delete = set([x.replace('.png', '_mask.png').replace(img_dir, mask_dir) for x in imgs_to_delete])
+
+for mask in masks_to_delete:
+    os.remove(mask)
+    print(f'Deleted: {mask}')
+
+    
+list_imgs = glob(os.path.join(img_dir, '**', '*.png'), recursive=True)
+list_masks = glob(os.path.join(mask_dir, '**', '*.png'), recursive=True)
+
+print(len(list_imgs))
+print(len(list_masks))

cuda_Test.py

@@ -0,0 +1,31 @@
+import torch
+
+print("PyTorch 버전:", torch.__version__)
+
+# CUDA 사용 가능 여부 확인
+if torch.cuda.is_available():
+    print("CUDA is available! Testing CUDA...")
+
+    # CUDA 디바이스 설정
+    device = torch.device("cuda")
+
+    # CUDA 디바이스에 텐서를 생성하고 연산 수행
+    x = torch.rand(5, 5, device=device)
+    y = torch.rand(5, 5, device=device)
+    z = x + y
+
+    # 결과 출력
+    print("Successfully performed a CUDA operation:")
+    print(z)
+else:
+    print("CUDA is not available.")
+
+
+# PyTorch 버전 확인
+print("PyTorch version:", torch.__version__)
+
+# CUDA 사용 가능 여부 및 버전 확인
+cuda_available = torch.cuda.is_available()
+print("CUDA available:", cuda_available)
+if cuda_available:
+    print("CUDA version:", torch.version.cuda)

images/loss-dice/result.txt

@@ -0,0 +1,8 @@
+Data types:  int32 int32
+Shapes:  (262144,) (262144,)
+Label sample:  [0 0 0 ... 0 0 0]
+Output sample:  [0 0 0 ... 0 0 0]
+Accuracy: 0.9977531433105469
+Precision: 0.9608572440665958
+Recall: 0.9866327180140039
+F1 Score: 0.9735744089012517

images/loss-focal/result.txt

@@ -0,0 +1,8 @@
+Data types:  int32 int32
+Shapes:  (262144,) (262144,)
+Label sample:  [0 0 0 ... 0 0 0]
+Output sample:  [0 0 0 ... 0 0 0]
+Accuracy: 0.9964599609375
+Precision: 0.9360505166475316
+Recall: 0.9564758329422807
+F1 Score: 0.9461529534640826

images/loss-l1+l2/result.txt

@@ -0,0 +1,8 @@
+Data types:  int32 int32
+Shapes:  (262144,) (262144,)
+Label sample:  [0 0 0 ... 0 0 0]
+Output sample:  [0 0 0 ... 0 0 0]
+Accuracy: 0.9957275390625
+Precision: 0.9423006583760059
+Recall: 0.9546970539188439
+F1 Score: 0.9484583525080534

images/loss-l1/result.txt

@@ -0,0 +1,8 @@
+Data types:  int32 int32
+Shapes:  (262144,) (262144,)
+Label sample:  [0 0 0 ... 0 0 0]
+Output sample:  [0 0 0 ... 0 0 0]
+Accuracy: 0.9977951049804688
+Precision: 0.9486012970670796
+Recall: 0.9952269726820351
+F1 Score: 0.9713549410248785

images/loss-l2/result.txt

@@ -0,0 +1,8 @@
+Data types:  int32 int32
+Shapes:  (262144,) (262144,)
+Label sample:  [0 0 0 ... 0 0 0]
+Output sample:  [0 0 0 ... 0 0 0]
+Accuracy: 0.998199462890625
+Precision: 0.9588396707173658
+Recall: 0.9947132980886539
+F1 Score: 0.9764471057884232

images/op-rms/result.txt

@@ -0,0 +1,8 @@
+Data types:  int32 int32
+Shapes:  (262144,) (262144,)
+Label sample:  [0 0 0 ... 0 0 0]
+Output sample:  [0 0 0 ... 0 0 0]
+Accuracy: 0.9981002807617188
+Precision: 0.9655700766110861
+Recall: 0.9892880229014683
+F1 Score: 0.9772851669403393

images/op-sgd/result.txt

@@ -0,0 +1,8 @@
+Data types:  int32 int32
+Shapes:  (262144,) (262144,)
+Label sample:  [0 0 0 ... 0 0 0]
+Output sample:  [0 0 0 ... 0 0 0]
+Accuracy: 0.9965438842773438
+Precision: 0.947846012832264
+Recall: 0.9684397827308485
+F1 Score: 0.9580322401334075

images/unet-mini/result.txt

@@ -0,0 +1,8 @@
+Data types:  int32 int32
+Shapes:  (262144,) (262144,)
+Label sample:  [0 0 0 ... 0 0 0]
+Output sample:  [0 0 0 ... 0 0 0]
+Accuracy: 0.9976158142089844
+Precision: 0.9365956036672927
+Recall: 0.994021101992966
+F1 Score: 0.9644543024512312

images/unet/result.txt

@@ -0,0 +1,4 @@
+Accuracy: 0.9975090026855469 
+Precision: 0.9646868359809775 
+Recall: 0.9690994104492783 
+F1 Score: 0.9668880888393083

test copy.py

@@ -0,0 +1,47 @@
+import os
+import shutil
+from PIL import Image
+import cv2
+
+image_path = 'C:/Users/pinb/Desktop/image/'
+mask_path = 'C:/Users/pinb/Desktop/mask/'
+
+# names = ['gold_ii',
+#          'gold_ie',
+#          'gold_io',
+#          'gold_ee',
+#          'gold_ei',
+#          'gold_eo',
+#          'gold_oi',
+#          'gold_oe',
+#          'gold_oo',
+names = ['silver_ii',
+         'silver_ie',
+         'silver_io',
+         'silver_ee',
+         'silver_ei',
+         'silver_eo',
+         'silver_oi',
+         'silver_oe',
+         'silver_oo']
+
+
+for name in names:
+    image_forder = image_path + name
+    mask_forder = mask_path + name
+    for dir in os.listdir(image_forder):
+        image_bar_folder = os.path.join(image_forder, dir)
+        for file in os.listdir(image_bar_folder):
+            new_filename = os.path.join(image_bar_folder, file)
+            png_filename = os.path.splitext(os.path.basename(file))[0] + '.png'
+            new_png_file = os.path.join(image_bar_folder, png_filename)
+            img = cv2.imread(new_filename, cv2.IMREAD_GRAYSCALE)
+            cv2.imwrite(new_png_file, img)
+            os.remove(new_filename)
+            print(f'Converted "{new_filename}" to "{new_png_file}"')
+            # with Image.open(new_filename) as img:
+            #     # PNG로 저장
+            #     img.save(new_png_file, 'PNG')
+            #     img.close()
+            #     os.remove(new_filename)
+            #     print(f'Converted "{new_filename}" to "{new_png_file}"')

test.py

@@ -0,0 +1,86 @@
+import os
+import shutil
+from PIL import Image
+import cv2
+
+# # 변환하고자 하는 폴더의 경로
+# folder_path = 'C:/Users/pinb/Desktop/image/silver_oe/'
+
+# # 변경하고자 하는 문자열과 변경될 문자열
+# old_string = 'ie'
+# new_string = 'oe'
+
+# # 폴더 내의 모든 파일에 대해 반복
+# for dir in os.listdir(folder_path):
+#     bar_folder = os.path.join(os.path.dirname(folder_path), dir)
+#     for filename in os.listdir(bar_folder):
+#         if old_string in filename:
+#             # 파일의 새 이름 생성
+#             new_filename = filename.replace(old_string, new_string)
+            
+#             # 파일 이름 변경
+#             old_file_path = os.path.join(bar_folder, filename)
+#             new_file_path = os.path.join(bar_folder, new_filename)
+            
+#             # 파일 이름 변경 실행
+#             os.rename(old_file_path, new_file_path)
+#             print(f'Renamed "{filename}" to "{new_filename}"')
+
+
+image_path = 'C:/Users/pinb/Desktop/image/'
+mask_path = 'C:/Users/pinb/Desktop/mask/'
+
+#names = ['gold_ii',
+        # 'gold_ie',
+#          'gold_io',
+#          'gold_ee',
+#          'gold_ei',
+#          'gold_eo',
+#          'gold_oi',
+names = ['gold_oe',
+         'gold_oo']
+        #  'silver_ii',
+        #  'silver_ie',
+        #  'silver_io',
+        #  'silver_ee',
+        #  'silver_ei',
+        #  'silver_eo',
+        #  'silver_oi',
+        #  'silver_oe',
+        #  'silver_oo']
+
+
+for name in names:
+    image_forder = image_path + name
+    # mask_forder = mask_path + name
+    # mask_origin = mask_path + name + '_mask.png'
+    for dir in os.listdir(image_forder):
+        image_bar_folder = os.path.join(image_forder, dir)
+        # mask_bar_folder = os.path.join(mask_forder, dir)
+        # if not os.path.exists(mask_bar_folder):
+        #     os.makedirs(mask_bar_folder)
+        for file in os.listdir(image_bar_folder):
+            # filename = os.path.splitext(os.path.basename(file))[0] + '_mask.png'
+            # new_filename = os.path.join(mask_bar_folder, filename)
+            # shutil.copy2(mask_origin, new_filename)
+            # print(f'Copied "{mask_origin}" to "{new_filename}"')
+
+            new_filename = os.path.join(image_bar_folder, file)
+            png_filename = os.path.splitext(os.path.basename(file))[0] + '.png'
+            new_png_file = os.path.join(image_bar_folder, png_filename)
+            # with Image.open(new_filename) as img:
+            #     # PNG로 저장
+            #     img.save(new_png_file, 'PNG')
+            #     img.close()
+            #     os.remove(new_filename)
+            #     print(f'Converted "{new_filename}" to "{new_png_file}"')
+            try:
+                split = os.path.splitext(os.path.basename(file))[1]
+                if split == '.bmp':
+                    img = cv2.imread(new_filename, cv2.IMREAD_GRAYSCALE)
+                    cv2.imwrite(new_png_file, img)
+                    os.remove(new_filename)
+                    print(f'Converted "{new_filename}" to "{new_png_file}"')
+            except:
+                os.remove(new_filename)
+                pass