maintain+bug: fix python version due to deepface, fix deepface memory leak

.github/workflows/ci.yml

@@ -16,7 +16,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python-version: [3.9, 3.10, 3.11, 3.12, 3.13]
+        python-version: ['3.9', '3.11']
     steps:
     - name: Checkout repository
       uses: actions/checkout@v4

ammico/faces.py

@@ -6,12 +6,17 @@ import pathlib
 from tensorflow.keras.models import load_model
 from tensorflow.keras.applications.mobilenet_v2 import preprocess_input
 from tensorflow.keras.preprocessing.image import img_to_array
+import keras.backend as K
 from deepface import DeepFace
 from retinaface import RetinaFace
 from ammico.utils import DownloadResource, AnalysisMethod
 
 
 DEEPFACE_PATH = ".deepface"
+# alternative solution to the memory leaks
+# cfg = K.tf.compat.v1.ConfigProto()
+# cfg.gpu_options.allow_growth = True
+# K.set_session(K.tf.compat.v1.Session(config=cfg))
 
 
 def deepface_symlink_processor(name):
@@ -305,6 +310,8 @@ class EmotionDetector(AnalysisMethod):
         for i, face in enumerate(faces[:3]):
             result[f"person{i+1}"] = self.analyze_single_face(face)
         self.clean_subdict(result)
+        # release memory
+        K.clear_session()
         return self.subdict
 
     def clean_subdict(self, result: dict) -> dict:

pyproject.toml

@@ -11,7 +11,7 @@ maintainers = [
     { name = "Inga Ulusoy", email = "ssc@iwr.uni-heidelberg.de" },
     { name = "Dmitrii Kapitan", email = "ssc@iwr.uni-heidelberg.de" },
 ]
-requires-python = ">=3.9"
+requires-python = ">=3.9, <3.12"
 license = { text = "MIT" }
 classifiers = [
     "Programming Language :: Python :: 3",