Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_segment_enet_detect at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_segment_enet_detect at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_segment_enet_detect at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_segment_enet_detect at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_segment_enet_detect at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_segment_enet_detect at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_segment_enet_detect at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_segment_enet_detect at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 1.12.0 |
License | Apache 2 |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Description | autoware.ai perf |
Checkout URI | https://github.com/is-whale/autoware_learn.git |
VCS Type | git |
VCS Version | 1.14 |
Last Updated | 2025-03-14 |
Dev Status | UNKNOWN |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Abraham Monrroy
Authors
How to Install Caffe for ENet
-
Complete the pre-requisites.
-
Clone ENet:
cd ~
git clone --recursive https://github.com/TimoSaemann/ENet.git
cd ENet/caffe-enet
- Compile the ENet fork of Caffe using Make (Don’t use CMake to compile Caffe).
Create
Makefile.config
fromMakefile.config.example
and setup your paths as indicated in http://caffe.berkeleyvision.org/installation.html#compilation.
make && make distribute
- Download pre-trained models as provided in https://github.com/TimoSaemann/ENet/tree/master/Tutorial#kick-start, or use your own.
If you didn’t install ENet Caffe in ENet
in your home directory for some reason, modify the Autoware ENet’s node CMakeLists.txt
and point the paths to match your system.
Once compiled, run from the terminal:
% roslaunch image_segmenter image_segmenter_enet.launch
Remember to modify the launch file located at computing/perception/detection/packages/image_segmenter/launch/image_segmenter_enet.launch
and configure the network configuration file, the pre-trained models, and the LUT file.
Changelog for package image_segmenter
1.11.0 (2019-03-21)
- [fix] Install commands for all the packages
(#1861)
-
Initial fixes to detection, sensing, semantics and utils
-
fixing wrong filename on install command
-
Fixes to install commands
-
Hokuyo fix name
-
Fix obj db
-
Obj db include fixes
-
End of final cleaning sweep
-
Incorrect command order in runtime manager
-
Param tempfile not required by runtime_manager
-
- Fixes to runtime manager install commands
-
Remove devel directory from catkin, if any
-
Updated launch files for robosense
-
Updated robosense
-
Fix/add missing install (#1977)
-
Added launch install to lidar_kf_contour_track
-
Added install to op_global_planner
-
Added install to way_planner
-
Added install to op_local_planner
-
Added install to op_simulation_package
-
Added install to op_utilities
-
Added install to sync
-
- Improved installation script for pointgrey packages
-
Fixed nodelet error for gmsl cameras
-
USe install space in catkin as well
-
add install to catkin
-
Fix install directives (#1990)
-
Fixed installation path
-
Fixed params installation path
-
Fixed cfg installation path
- Delete cache on colcon_release
-
- Fix license notice in corresponding package.xml
- Contributors: Abraham Monrroy Cano, amc-nu
1.10.0 (2019-01-17)
- Use colcon as the build tool
(#1704)
- Switch to colcon as the build tool instead of catkin
- Added cmake-target
- Added note about the second colcon call
- Added warning about catkin* scripts being deprecated
- Fix COLCON_OPTS
- Added install targets
- Update Docker image tags
- Message packages fixes
- Fix missing dependency
- Fix Ros/ROS naming convention
- Contributors: Esteve Fernandez
1.9.1 (2018-11-06)
1.9.0 (2018-10-31)
1.8.0 (2018-08-31)
- [Fix] Moved C++11 flag to autoware_build_flags (#1395)
- [Feature] Makes sure that all binaries have their dependencies linked (#1385)
- Contributors: Esteve Fernandez
1.7.0 (2018-05-18)
File truncated at 100 lines see the full file
Package Dependencies
System Dependencies
Dependant Packages
Launch files
- launch/vision_segment_enet_detect.launch
-
- network_definition_file [default: $(env HOME)/ENet/prototxts/enet_deploy_final.prototxt]
- pretrained_model_file [default: $(env HOME)/ENet/enet_weights_zoo/cityscapes_weights.caffemodel]
- lookuptable_file [default: $(env HOME)/ENet/scripts/cityscapes19.png]
- camera_id [default: /]
- image_src [default: /image_raw]