Merge pull request #91 from coralnet/pillow-10-2

Update Pillow requirement to >=10.2.0

CHANGELOG.md

@@ -6,6 +6,16 @@
 
 - S3 downloads are now always performed in the main thread, to prevent `RuntimeError: cannot schedule new futures after interpreter shutdown`.
 
+- `S3Storage` and `storage_factory()` now use the parameter name `bucket_name` instead of `bucketname` to be consistent with other usages in pyspacer (by @yeelauren).
+
+- `URLStorage` downloads and existence checks now have an explicit timeout of 20 seconds (this is a timeout for continuous unresponsiveness, not for the whole response).
+
+- EfficientNet feature extraction now uses CUDA if available (by @yeelauren).
+
+- Updates to pip-install dependencies:
+
+  - Pillow: >=10.0.1 to >=10.2.0
+
 ## 0.7.0
 
 - `TrainClassifierMsg` labels arguments have changed. Instead of `train_labels` and `val_labels`, it now takes a single argument `labels`, which is a `TrainingTaskLabels` object (basically a set of 3 `ImageLabels` objects: training set, reference set, and validation set).

Dockerfile

@@ -97,7 +97,7 @@ FROM caffe AS spacer
 RUN pip3 install coverage==7.0.5
 RUN pip3 install tqdm==4.65.0
 RUN pip3 install fire==0.5.0
-RUN pip3 install Pillow==10.1.0
+RUN pip3 install Pillow==10.2.0
 RUN pip3 install scikit-learn==1.1.3
 RUN pip3 install torch==1.13.1
 RUN pip3 install torchvision==0.14.1

pyproject.toml

@@ -12,7 +12,7 @@ description = "Spatial image analysis with pytorch and caffe backends."
 readme = "README.md"
 requires-python = ">=3.8"
 dependencies = [
-    "Pillow>=10.0.1",
+    "Pillow>=10.2.0",
     "numpy>=1.19",
     "scikit-learn==1.1.3",
     "torch==1.13.1",

requirements.txt

@@ -8,7 +8,7 @@ tqdm==4.65.0
 fire==0.5.0
 
 # https://pillow.readthedocs.io/en/stable/releasenotes/index.html
-Pillow==10.1.0
+Pillow==10.2.0
 
 # https://numpy.org/devdocs/release.html
 numpy==1.24.1