Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Minor update: fixing typo of "weigths" #29

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Minor update: fixing typo of "weigths" #29

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions Tutorial/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,16 +99,16 @@ 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__.

### Visualize the prediction with python

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/
Expand Down