feat: enhance forensic analysis by adding additional gradient and MinMax processing variations

app_mcp.py

@@ -361,8 +361,11 @@ def predict_with_ensemble(img, confidence_threshold, augment_methods, rotate_deg
     
     # 6. Perform forensic processing
     gradient_image = gradient_processing(img_np_og)  # Added gradient processing
+    gradient_image2 = gradient_processing(img_np_og, int=45, equalize=True)  # Added gradient processing
+
     minmax_image = minmax_process(img_np_og)  # Added MinMax processing
-    bitplane_image = bit_plane_extractor(img_pil)
+    minmax_image2 = minmax_process(img_np_og, radius=6)  # Added MinMax processing
+    # bitplane_image = bit_plane_extractor(img_pil)
     
 
     # First pass - standard analysis
@@ -372,7 +375,7 @@ def predict_with_ensemble(img, confidence_threshold, augment_methods, rotate_deg
     ela2 = ELA(img_np_og, quality=75, scale=75, contrast=25, linear=False, grayscale=True)
     ela3 = ELA(img_np_og, quality=75, scale=75, contrast=25, linear=False, grayscale=False)
     
-    forensics_images = [img_pil, ela1, ela2, ela3, gradient_image, minmax_image, bitplane_image]
+    forensics_images = [img_pil, ela1, ela2, ela3, gradient_image, gradient_image2, minmax_image, minmax_image2]
 
     # 7. Generate boilerplate descriptions for forensic outputs for anomaly agent
     forensic_output_descriptions = [
@@ -381,8 +384,9 @@ def predict_with_ensemble(img, confidence_threshold, augment_methods, rotate_deg
         "ELA analysis (Pass 2): Grayscale error map, quality 75, enhanced contrast.",
         "ELA analysis (Pass 3): Color error map, quality 75, enhanced contrast.",
         "Gradient processing: Highlights edges and transitions.",
+        "Gradient processing: Int=45, Equalize=True",
         "MinMax processing: Deviations in local pixel values.",
-        "Bit Plane extractor: Visualization of individual bit planes from different color channels."
+        "MinMax processing (Radius=6): Deviations in local pixel values.",
     ]
     # You could also add descriptions for Wavelet and Bit Plane if they were dynamic outputs
     # For instance, if wavelet_blocking_noise_estimation had parameters that changed and you wanted to describe them.