Update yolov5.py

yolov5.py

@@ -242,7 +242,7 @@ def dff_nmf(image, target_lyr, n_components):
         
         #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)
-        visualization = show_factorization_on_image(rgb_img_float, np.transpose(rgb_channels, (2, 0, 1)), image_weight=0.5)
+        visualization = show_factorization_on_image(rgb_img_float, np.transpose(rgb_channels, (2, 0, 1)), image_weight=0.7)
         results.append(visualization)
         plt.clf()  
         #return image_array