Use PIL for image resizing

.gitignore

@@ -0,0 +1,139 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# OS and Editor stuff
+.DS_Store
+.vscode
+
+# AWS stuff
+*.pem
+
+# Model Binaries
+*.pt
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/

environment.yml

@@ -9,6 +9,7 @@ dependencies:
   - h5py=2.7
   - pathlib2=2.3
   - scipy=0.19.1
+  - Pillow=8.4.0
   - jupyter=1.0.0
   - torchvision
-  - pytorch
+  - pytorch

utils/extract_features.py

@@ -20,7 +20,8 @@
 
 import torch
 import numpy as np
-from scipy.misc import imread, imresize
+from PIL import Image
+from scipy.misc import imread
 from torchvision.models import resnet101
 
 def load_feature_extractor(model_stage=2):
@@ -70,7 +71,7 @@ def extract_image_feats(img_path, model):
     # read in the image and transform it to shape (1, 3, 224, 224)
     path = str(img_path) # to handle pathlib
     img = imread(path, mode='RGB')
-    img = imresize(img, (224, 224), interp='bicubic')
+    img = np.array(Image.fromarray(img).resize((224, 224), resample=Image.BICUBIC))
     img = img.transpose(2, 0, 1)[None]
 
     # use ImageNet statistics to transform the data