Fix broken model

.gitignore

@@ -0,0 +1,135 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+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/
+cover/
+
+# 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
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__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/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+notebooks/
+old/
+.vscode/
+*.ckpt
+
+*.jpg

requirements.txt

@@ -0,0 +1,8 @@
+albumentations==1.1.0
+opencv-python-headless==4.5.5.64
+optuna==3.0.4
+pandas==1.3.5
+pytorch-lightning<=1.5.10
+timm==0.5.4
+wandb==0.12.16
+opencv-python

test_model.py

@@ -0,0 +1,12 @@
+import os
+import cv2
+
+os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
+
+from transformers import AutoModelForImageClassification
+
+if __name__ == "__main__":
+    cetacean_classifier = AutoModelForImageClassification.from_pretrained("Saving-Willy/cetacean-classifier", trust_remote_code=True)
+    img = cv2.imread("tail.jpg")
+    out = cetacean_classifier(img)
+    print(out)

test_model_before_push.py

@@ -0,0 +1,30 @@
+"""
+Script used to load a custom model and push it to HuggingFace.
+Doc: https://huggingface.co/docs/transformers/custom_models#writing-a-custom-model
+"""
+import os
+import json
+import cv2
+
+os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
+
+from configuration_cetacean_classifier import (
+    CetaceanClassifierConfig,
+)
+from modeling_cetacean_classifier import (
+    CetaceanClassifierModelForImageClassification,
+)
+
+with open("original_model_config.json", "r") as file:
+    config= json.load(file)
+
+cetacean_config = CetaceanClassifierConfig(**config)
+cetacean_classifier = CetaceanClassifierModelForImageClassification(cetacean_config)
+
+cetacean_classifier.model.load_from_checkpoint("last.ckpt")
+
+img = cv2.imread("tail.jpg")
+
+out = cetacean_classifier(img)
+print(out)
+

train.py

@@ -5,10 +5,10 @@ import timm
 import torch
 from pytorch_lightning import LightningDataModule, LightningModule, Trainer
 
-from .config import Config, load_config
+from config import Config, load_config
 # from .dataset import WhaleDataset, load_df
-from .metric_learning import ArcFaceLossAdaptiveMargin, ArcMarginProductSubcenter, GeM
-from .utils import WarmupCosineLambda, map_dict, topk_average_precision
+from metric_learning import ArcFaceLossAdaptiveMargin, ArcMarginProductSubcenter, GeM
+from utils import WarmupCosineLambda, map_dict, topk_average_precision
 
 
 class SphereClassifier(LightningModule):