Upload agents/statistical_agent.py with huggingface_hub

agents/statistical_agent.py

@@ -20,7 +20,11 @@ def t01_dct_kurtosis(img):
     c=np.array(coeffs); c=c[c!=0]
     if len(c)<100: return {"test":"DCT Kurtosis","score":0.0,"note":"Insufficient data"}
     k=float(sp_kurt(c,fisher=True))
-    if k>4.5: s,n=-0.4,f"Laplacian DCT (κ={k:.2f})"
+    # Natural photos: kurtosis 5-350. AI over-sharpening: >400.
+    # Too-low kurtosis (<2) = Gaussian = old GAN artifacts.
+    # Too-high kurtosis (>400) = pathological sharpness = modern AI.
+    if k>400: s,n=0.3,f"Pathologically high DCT kurtosis (κ={k:.0f}) — AI over-sharpening"
+    elif k>4.5: s,n=-0.4,f"Laplacian DCT (κ={k:.2f})"
     elif k<2.0: s,n=0.5,f"Gaussian DCT (κ={k:.2f})"
     elif k<3.5: s,n=0.2,f"Borderline (κ={k:.2f})"
     else: s,n=-0.1,f"Near-natural (κ={k:.2f})"
@@ -88,7 +92,9 @@ def t06_wavelet_kurtosis(img):
     hf=np.concatenate([lh.ravel(),hl.ravel(),hh.ravel()]); hf=hf[hf!=0]
     if len(hf)<100: return {"test":"Wavelet Kurtosis","score":0.0,"note":"Insufficient"}
     k=float(sp_kurt(hf,fisher=True))
-    if k>5: s,n=-0.3,f"Heavy-tailed wavelets (κ={k:.2f})"
+    # Same ceiling logic: AI over-sharpening produces kurtosis > 60
+    if k>60: s,n=0.2,f"Pathologically high wavelet kurtosis (κ={k:.1f}) — AI over-sharpening"
+    elif k>5: s,n=-0.3,f"Heavy-tailed wavelets (κ={k:.2f})"
     elif k<1.5: s,n=0.4,f"Gaussian wavelets (κ={k:.2f})"
     else: s,n=0.0,f"Wavelet κ={k:.2f}"
     return {"test":"Wavelet Kurtosis","kurtosis":round(k,4),"score":s,"note":n}