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python/pokedex_rpi.py

@@ -55,12 +55,12 @@ with Hailo(hef_path) as hailo:
         output_path = "/tmp/captured.png"
         cv2.imwrite(output_path, frame)
         os.system(f"feh --fullscreen {output_path}")
+    
+    # --- Preprocess image ---
+    image = frame.astype(np.float32) / 255.0  # Normalize to [0, 1]
+    image = np.expand_dims(image, axis=0)     # Add batch dimension
+    image = np.transpose(image, (0, 3, 1, 2))  # NHWC ? NCHW if required (check your model)
 
-    # --- Preprocess (normalize + layout + batch) ---
-    image = frame.astype(np.float32)  # Convert to float32
-    image -= [123.68, 116.779, 103.939]  # Subtract ImageNet mean
-    image = np.transpose(image, (2, 0, 1))  # HWC → CHW
-    image = np.expand_dims(image, axis=0)  # Add batch dimension
 
     print("-- Running inference...")
     inference_results = hailo.run(image)