rom1504
diff --git a/‎.github/workflows/ci.yml‎
Lines changed: 16 additions & 10 deletions b/‎.github/workflows/ci.yml‎
Lines changed: 16 additions & 10 deletions
diff --git a/‎.github/workflows/python-publish.yml‎
Lines changed: 3 additions & 3 deletions b/‎.github/workflows/python-publish.yml‎
Lines changed: 3 additions & 3 deletions
diff --git a/‎Makefile‎
Lines changed: 1 addition & 1 deletion b/‎Makefile‎
Lines changed: 1 addition & 1 deletion
diff --git a/‎img2dataset/blurrer.py‎
Lines changed: 15 additions & 3 deletions b/‎img2dataset/blurrer.py‎
Lines changed: 15 additions & 3 deletions
diff --git a/‎img2dataset/resizer.py‎
Lines changed: 19 additions & 7 deletions b/‎img2dataset/resizer.py‎
Lines changed: 19 additions & 7 deletions
@@ -12,11 +12,11 @@ jobs:
   lint:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v2
-      - name: Set up Python 3.8
-        uses: actions/setup-python@v2
+      - uses: actions/checkout@v4
+      - name: Set up Python 3.10
+        uses: actions/setup-python@v4
         with:
-          python-version: 3.8
+          python-version: '3.10'
       - name: Install
         run: |
           python3 -m venv .env
@@ -30,11 +30,11 @@ jobs:
   pex:
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Set up Python
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v4
       with:
-        python-version: '3.8'
+        python-version: '3.10'
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
@@ -45,15 +45,21 @@ jobs:
   tests:
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
-        python-version: [3.8, '3.10']
+        python-version: ['3.10', '3.11', '3.12']
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v4
       with:
         python-version: ${{ matrix.python-version }}
+    - name: Install Java 17 (for PySpark)
+      uses: actions/setup-java@v4
+      with:
+        distribution: 'temurin'
+        java-version: '17'
     - name: Install
       run: |
         python3 -m venv .env
 
@@ -8,16 +8,16 @@ jobs:
   deploy:
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - uses: actions-ecosystem/action-regex-match@v2
       id: regex-match
       with:
         text: ${{ github.event.head_commit.message }}
         regex: '^Release ([^ ]+)'
     - name: Set up Python
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v4
       with:
-        python-version: '3.8'
+        python-version: '3.12'
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
 
@@ -16,7 +16,7 @@ black: ## [Local development] Auto-format python code using black
 build-pex:
 	python3 -m venv .pexing
 	. .pexing/bin/activate && python -m pip install -U pip && python -m pip install pex
-	. .pexing/bin/activate && python -m pex setuptools scipy==1.9.0 gcsfs s3fs pyspark==3.2.0 requests==2.27.1 . -o img2dataset.pex -v
+	. .pexing/bin/activate && python -m pex setuptools scipy>=1.11.0 gcsfs s3fs pyspark>=3.5.0 requests>=2.28.0 . -o img2dataset.pex -v
 	rm -rf .pexing
 
 test: ## [Local development] Run unit tests
 
@@ -1,6 +1,7 @@
 """blurrer module to blur parts of the image"""
 
 import numpy as np
+import random
 
 import albumentations as A
 
@@ -68,9 +69,20 @@ def __call__(self, img, bbox_list):
             mask[adjusted_bbox[1] : adjusted_bbox[3], adjusted_bbox[0] : adjusted_bbox[2], ...] = 1
 
         sigma = 0.1 * max_diagonal
-        ksize = int(2 * np.ceil(4 * sigma)) + 1
-        blurred_img = A.augmentations.gaussian_blur(img, ksize=ksize, sigma=sigma)
-        blurred_mask = A.augmentations.gaussian_blur(mask, ksize=ksize, sigma=sigma)
+        # Use GaussianBlur transform instead of deprecated gaussian_blur function
+        # blur_limit needs to be an odd integer, so convert sigma to appropriate kernel size
+        kernel_size = max(3, int(2 * np.ceil(sigma) + 1))
+        if kernel_size % 2 == 0:  # Ensure odd kernel size
+            kernel_size += 1
+
+        # Set fixed seed for deterministic results
+        np.random.seed(42)
+        random.seed(42)
+
+        # Use tuple format (min, max) with same value for exact kernel size
+        blur_transform = A.GaussianBlur(blur_limit=(kernel_size, kernel_size), p=1.0, always_apply=True)
+        blurred_img = blur_transform(image=img)["image"]
+        blurred_mask = blur_transform(image=mask)["image"]
 
         result = img * (1 - blurred_mask) + blurred_img * blurred_mask
 
 
@@ -179,28 +179,40 @@ def __call__(self, img_stream, blurring_bbox_list=None):
                     downscale = min(original_width, original_height) > self.image_size
                     if not self.resize_only_if_bigger or downscale:
                         interpolation = self.downscale_interpolation if downscale else self.upscale_interpolation
-                        img = A.smallest_max_size(img, self.image_size, interpolation=interpolation)
+                        # Use SmallestMaxSize transform instead of deprecated smallest_max_size function
+                        smallest_max_transform = A.SmallestMaxSize(
+                            max_size=self.image_size, interpolation=interpolation, p=1.0
+                        )
+                        img = smallest_max_transform(image=img)["image"]
                         if blurring_bbox_list is not None and self.blurrer is not None:
                             img = self.blurrer(img=img, bbox_list=blurring_bbox_list)
                         if self.resize_mode == ResizeMode.center_crop:
-                            img = A.center_crop(img, self.image_size, self.image_size)
+                            # Use CenterCrop transform instead of deprecated center_crop function
+                            center_crop_transform = A.CenterCrop(height=self.image_size, width=self.image_size)
+                            img = center_crop_transform(image=img)["image"]
                         encode_needed = True
                         maybe_blur_still_needed = False
                 elif self.resize_mode in (ResizeMode.border, ResizeMode.keep_ratio_largest):
                     downscale = max(original_width, original_height) > self.image_size
                     if not self.resize_only_if_bigger or downscale:
                         interpolation = self.downscale_interpolation if downscale else self.upscale_interpolation
-                        img = A.longest_max_size(img, self.image_size, interpolation=interpolation)
+                        # Use LongestMaxSize transform instead of deprecated longest_max_size function
+                        longest_max_transform = A.LongestMaxSize(
+                            max_size=self.image_size, interpolation=interpolation, p=1.0
+                        )
+                        img = longest_max_transform(image=img)["image"]
                         if blurring_bbox_list is not None and self.blurrer is not None:
                             img = self.blurrer(img=img, bbox_list=blurring_bbox_list)
                         if self.resize_mode == ResizeMode.border:
-                            img = A.pad(
-                                img,
-                                self.image_size,
-                                self.image_size,
+                            # Use PadIfNeeded transform instead of deprecated pad function
+                            pad_transform = A.PadIfNeeded(
+                                min_height=self.image_size,
+                                min_width=self.image_size,
                                 border_mode=cv2.BORDER_CONSTANT,
                                 value=[255, 255, 255],
+                                p=1.0,
                             )
+                            img = pad_transform(image=img)["image"]
                         encode_needed = True
                         maybe_blur_still_needed = False