Update yolov5.py

yolov5.py

@@ -234,7 +234,7 @@ 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
         
-        temp = image_array.reshape((rgb_img_float.shape[0],rgb_img_float.shape[1]) )
+        #temp = image_array.reshape((rgb_img_float.shape[0],rgb_img_float.shape[1]) )
         visualization = show_factorization_on_image(rgb_img_float, image_array.resize((rgb_img_float.shape)) , image_weight=0.3)
         results.append(visualization)
         plt.clf()