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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_ssd_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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_ssd_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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_ssd_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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_ssd_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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_ssd_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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_ssd_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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_ssd_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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]
Messages
Services
Plugins
Recent questions tagged vision_ssd_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
- amc
Authors
How to Install Caffe for SSD vision detector
Updated as of 2018-07-04
-
Complete the pre-requisites.
-
Clone the SSD Caffe fork in your home directory (CMake files will be looking for it there).
% git clone -b ssd https://github.com/weiliu89/caffe.git ssdcaffe
% cd ssdcaffe
% git checkout 4817bf8b4200b35ada8ed0dc378dceaf38c539e4
-
Follow the authors’ instructions to complete the pre-requisites for compilation.
-
Compile Caffe:
make && make distribute
- Download pre-trained models as provided at https://github.com/weiliu89/caffe/tree/ssd, or use your own.
Once compiled, run from the terminal, or launch from RunTimeManager:
% roslaunch vision_ssd_detect vision_ssd_detect network_definition_file:=/PATH/TO/deploy.prototxt pretrained_model_file:=/PATH/TO/model.caffemodel
Remember to modify the launch file located inside
AUTOWARE_BASEDIR/ros/src/computing/perception/detection/vision_detector/packages/vision_ssd_detect/launch/vision_ssd_detect.launch
and point the network and pre-trained models to your paths.
Launch file params
Parameter | Type | Description | Default |
---|---|---|---|
use_gpu |
Bool | Whether to use or not GPU acceleration. | true |
gpu_device_id |
Integer | ID of the GPU to be used. | 0 |
score_threshold |
Double | Value between 0 and 1. Defines the minimum score value to filter detections. | 0.5 |
network_definition_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt |
pretrained_model_file |
String | Path to the prototxt file . | $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel |
camera_id |
String | Camera ID to subscribe, i.e. camera0
|
/ |
image_src |
String | Name of the image topic to subscribe to | /image_raw |
Notes
Remember to modify the deploy.prototxt
to use the FULL PATH to the VOC label prototxt file.
Open the file $SSDCAFFEPATH/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt
Change line 1803
to point to the full path of the labelmap_voc.prototxt
file.
Changelog for package vision_ssd_detect
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
- Fix/remove obsolete range fusion
(#1884)
- Remove obsolete range_fusion
- Removed range_fusion ui entry
- Remove obsolete lidar_tracker_libs_fusion
- Removed fusion dependency from vision_ssd_detect package
- Initial release of object filter
- Contributors: Abraham Monrroy, Abraham Monrroy Cano, Servando, amc-nu
1.10.0 (2019-01-17)
- Fixes for catkin_make
- [fix] SSD detector, cmake colcon
(#1837)
-
Fixes for new colcon script on ssd cuda based node
-
Fixed to RTM and darknet launch files
-
catkin_fix
-
- catkin & colcon build successfully
- reverted back run to devel space (for the time being)
-
- Switch to Apache 2 license (develop branch)
(#1741)
- Switch to Apache 2
* Replace BSD-3 license header with Apache 2 and reassign copyright to the Autoware Foundation.
- Update license on Python files
- Update copyright years
File truncated at 100 lines see the full file
Package Dependencies
Deps | Name |
---|---|
autoware_build_flags | |
catkin | |
autoware_config_msgs | |
autoware_msgs | |
cv_bridge | |
geometry_msgs | |
gnss | |
image_transport | |
roscpp | |
sensor_msgs | |
std_msgs | |
tf |
System Dependencies
Name |
---|
libopencv-dev |
Dependant Packages
Launch files
- launch/vision_ssd_detect.launch
-
- use_gpu [default: true]
- gpu_device_id [default: 0]
- score_threshold [default: 0.5]
- network_definition_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/deploy.prototxt]
- pretrained_model_file [default: $(env HOME)/ssdcaffe/models/VGGNet/VOC0712/SSD_512x512/VGG_VOC0712_SSD_512x512_iter_120000.caffemodel]
- camera_id [default: /]
- image_src [default: /image_raw]