Update yolov5.py

yolov5.py

@@ -233,7 +233,9 @@ def dff_nmf(image, target_lyr, n_components):
 
         fig.canvas.draw()  # Draw the canvas to make sure the image is rendered
         image_array = np.array(fig.canvas.renderer.buffer_rgba())  # Convert to numpy array
-        visualization = show_factorization_on_image(rgb_img_float, image_array.reshape(rgb_img_float.shape), image_weight=0.3)
+        
+        temp = image_array.reshape((rgb_img_float.shape[0],rgb_img_float.shape[1] )
+        visualization = show_factorization_on_image(rgb_img_float,np.stack([temp] * 3, axis=-1) , image_weight=0.3)
         results.append(visualization)
         plt.clf()  
         #return image_array