Upload config

config.py

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+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+os.environ["HF_TOKEN"] = os.getenv("HF_TOKEN")
+
+# ── Camera & optics (single source of truth) ───────────────────────────────────
+SPECS = {
+    "s2":  {"pixel_m": 7.5e-6, "focal_m": 0.600, "alt_m": 786_000.0},
+    "bc2": {"pixel_m": 6.0e-6, "focal_m": 0.016, "alt_m": 410_000.0,
+            "f_number": 2.8},
+}
+
+def gsd(cam):
+    return cam["pixel_m"] * cam["alt_m"] / cam["focal_m"]
+
+GSD_S2      = gsd(SPECS["s2"])           # 9.83 m
+GSD_BC2     = gsd(SPECS["bc2"])          # 153.75 m
+SCALE_FACTOR = GSD_BC2 / GSD_S2          # ~15.65  (replaces old altitude-only ratio)
+
+# ── Camera sensor dimensions ───────────────────────────────────────────────────
+CAMERA_W      = 752    # physical BlueFOX sensor width  (inference frame size)
+CAMERA_H      = 480    # physical BlueFOX sensor height (inference frame size)
+PATCH_SIZE    = 33     # output size of each training patch after GSD downsampling
+                       # = floor(512 / SCALE_FACTOR)
+
+# ── Paths ──────────────────────────────────────────────────────────────────────
+SAVE_DIR   = "data/bluefox"
+CHECKPOINT = "best_model.pth"
+
+# ── Dataset ────────────────────────────────────────────────────────────────────
+MAX_SAMPLES = 8490
+SEED        = 42
+
+TRAIN_RATIO = 0.70
+VAL_RATIO   = 0.15
+TEST_RATIO  = 0.15
+
+# ── Model ──────────────────────────────────────────────────────────────────────
+NUM_CLASSES  = 4
+CLASS_NAMES  = ["clear", "thick_cloud", "thin_cloud", "shadow"]
+
+# ── Training ───────────────────────────────────────────────────────────────────
+BATCH_SIZE    = 512     # 33×33 patches are tiny -- can afford larger batches
+NUM_WORKERS   = 0
+NUM_EPOCHS    = 50
+PATIENCE      = 8
+LEARNING_RATE = 2e-4   # bumped up slightly from 2e-5 -- fine for a small CNN
+WEIGHT_DECAY  = 0.01