From 6cfb8d971a85e15d80a9210204a572d83fb9c834 Mon Sep 17 00:00:00 2001 From: Ricky Singla Date: Wed, 2 Aug 2017 11:10:47 -0700 Subject: [PATCH] Minor update: fixing typo of "weigths" A few instances of a minor typo. --- Tutorial/README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/Tutorial/README.md b/Tutorial/README.md index b394bc7..2bef604 100644 --- a/Tutorial/README.md +++ b/Tutorial/README.md @@ -99,7 +99,7 @@ speed up the network. You can do this by running: $ python BN-absorber-enet.py --model ENet/prototxts/enet_deploy.prototxt \ --weights ENet/weights/bn_weights.caffemodel \ - --out_dir ENet/final_model_weigths/ + --out_dir ENet/final_model_weights/ It also deletes the corresponding batch normalization and dropout layers from the prototxt file. The final model (prototxt file) and weights are saved in the folder __final_model_and_weights__. @@ -107,8 +107,8 @@ It also deletes the corresponding batch normalization and dropout layers from th You can visualize the prediction of ENet by running: - $ python test_segmentation.py --model ENet/final_model_weigths/bn_conv_merged_model.prototxt \ - --weights ENet/final_model_weigths/bn_conv_merged_weights.caffemodel \ + $ python test_segmentation.py --model ENet/final_model_weights/bn_conv_merged_model.prototxt \ + --weights ENet/final_model_weights/bn_conv_merged_weights.caffemodel \ --colours /ENet/scripts/cityscapes19.png \ --input_image ENet/example_image/munich_000000_000019_leftImg8bit.png \ --out_dir /ENet/example_image/