Clean state

requirements.txt

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+# Python 3.12 recommended — facenet-pytorch has compatibility issues on 3.13+
+# conda create -n drl python=3.12  (or equivalent venv)
+
+# ── Deep learning ─────────────────────────────────────────────────────────────
+torch>=2.0.0
+torchvision>=0.15.0
+
+# ── Image processing ──────────────────────────────────────────────────────────
+pillow>=10.0.0
+
+# ── Data / evaluation ─────────────────────────────────────────────────────────
+numpy>=1.24.0
+scikit-learn>=1.3.0       # roc_auc_score, confusion_matrix, train_test_split
+tqdm>=4.65.0              # progress bars during training and data loading
+torchmetrics>=0.11.0      # metrics for training and evaluation
+torch-fidelity>=0.3.0     # required by torchmetrics FrechetInceptionDistance
+
+# ── Visualisation ─────────────────────────────────────────────────────────────
+matplotlib>=3.7.0
+seaborn>=0.12.0           # heatmaps and statistical plots in notebooks
+
+# ── Notebooks ─────────────────────────────────────────────────────────────────
+jupyter>=1.0.0
+
+# ── Dataset download ──────────────────────────────────────────────────────────
+huggingface-hub>=0.20.0   # tools/download_data.py pulls DFF from HuggingFace
+
+# ── Face detection (optional) ─────────────────────────────────────────────────
+# Required only for the face-crop preprocessing tools:
+#   classifier/tools/facecrop.py  (bbox crop -> cropped/classifier/)
+#   generator/tools/facecrop.py   (landmark alignment -> cropped/generator/)
+# Skip if you don't run these — saves ~200 MB and avoids the
+# pytorch-lightning transitive dependency.
+facenet-pytorch>=2.5.0
+scikit-image>=0.21.0      # similarity-transform alignment in generator/tools/facecrop.py