sets a max on python 3.14 for the moment and fixes CI

.pre-commit-config.yaml

@@ -30,6 +30,9 @@ repos:
         name: docformatter
         entry: docformatter
         language: python
+        # pre-commit.ci currently provisions Python 3.14 for hook envs; DeepForest's
+        # tooling stack doesn't support that yet (e.g., `untokenize` build errors).
+        language_version: python3.12
         additional_dependencies: [docformatter]
         types: [python]
         args: ["--in-place"]

pyproject.toml

@@ -3,7 +3,7 @@ name = "deepforest"
 version = "2.1.0"
 description = "Platform for individual detection from airborne remote sensing including trees, birds, and livestock. Supports multiple detection models, adding models for species classification, and easy fine tuning to particular ecosystems."
 readme = "README.md"
-requires-python = ">=3.10,<3.15"
+requires-python = ">=3.10,<3.14"
 license = {text = "MIT"}
 keywords = ["deep-learning", "forest", "ecology", "computer-vision"]
 classifiers = [

src/deepforest/main.py

@@ -9,9 +9,6 @@
 import torch
 from omegaconf import DictConfig, OmegaConf
 from PIL import Image
-
-Image.MAX_IMAGE_PIXELS = None
-
 from pytorch_lightning.callbacks import LearningRateMonitor
 from pytorch_lightning.loggers import CSVLogger
 from torch import optim
@@ -22,6 +19,8 @@
 from deepforest.datasets import prediction, training
 from deepforest.metrics import RecallPrecision
 
+Image.MAX_IMAGE_PIXELS = None
+
 
 class deepforest(pl.LightningModule):
     """DeepForest model for tree crown detection in RGB images.