Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.
Package Summary
Tags | No category tags. |
Version | 0.0.5 |
License | MIT |
Build type | CATKIN |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/tue-robotics/image_recognition.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2025-06-24 |
Dev Status | DEVELOPED |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
Additional Links
Maintainers
- Rein Appeldoorn
Authors
Tensorflow image recognition
Object recognition with use of Tensorflow. Based on the retrain example: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py
RQT tools related to this package can be found in package image_recognition_tensorflow_rqt
Installation
See https://github.com/tue-robotics/image_recognition for installation instructions. Also make sure that you have a working installation on Tensorflow. If you are running Ubuntu x64, Tensorflow can be installed with use of the following commands:
sudo apt-get install python-pip python-dev
sudo pip install tensorflow # If you want gpu support, use pip install tensorflow-gpu
Quick How-to
- Annotate images with use of annotation tool provided in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
- Retrain the neural network: https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_tensorflow_rqt
- Start the ROS node with the net as parameter:
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
- Test the classifier with use the test tool in https://github.com/tue-robotics/image_recognition/tree/master/image_recognition_rqt
ROS Node (object_recognition_node)
rosrun image_recognition_tensorflow object_recognition_node _graph_path:=[path_to_graph.pb] _labels_path:=[path_to_labels.txt]
Scripts
Get object recognition (get_object_recognition)
Get the classification result of an input image:
rosrun image_recognition_tensorflow get_object_recognition [path_to_graph.pb] [path_to_labels.txt] [path_to_image]
Evaluate classifier (evaluate_classifier)
Evaluate the classifier based on a structured images folder. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow evaluate_classifier [path_to_graph.pb] [path_to_labels.txt] [path_to_image_dir]
Retrain the neural network (retrain)
Train the neural network based on a set of images. The script assumes that the images in this directory are separated in different directories with the label name as directory name.
rosrun image_recognition_tensorflow retrain [image_folder] [model_folder_inceptionv3] [output_dir]
\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^ Changelog for package image_recognition_tensorflow \^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^\^
0.0.5 (2019-06-08)
- Added test for image_recognition_tensorflow
- Added catkin lint to all packages
- refactor package xml to 2.0
- rename ROS pkgs with image_recognition_prefix
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.4 (2017-02-07)
0.0.3 (2017-02-07)
- fix(): Add targets install for scripts
- Add numpy run dependency for image_recognition_tensorflow
- Contributors: Matthijs van der Burgh, Rein Appeldoorn
0.0.2 (2017-01-17)
0.0.1 (2017-01-17)
- Add try except if path already exists
- Update retrain to the latest version of tensorflow
- Added image recognition util to support labeled and raw writing of image in predefined folder structure
- Update README.md
- Update README.md
- Documentation
- Working annotation gui and test gui for both image_recognition_tensorflow object recognition and image_recognition_openface face recognition
- Working with updated interface
- Update README.md
- os.path.expanduser for paths
- Some minor reference and naming fixes
- Merged tensorflow_object_recognition into image_recognition repo, renamed to image_recognition_tensorflow
- Contributors: Ramon Wijnands, Rein Appeldoorn
Package Dependencies
Deps | Name |
---|---|
catkin | |
diagnostic_updater | |
image_recognition_msgs | |
image_recognition_util | |
rospy | |
python-sphinx-autoapi-pip | |
python-sphinx-rtd-theme-pip | |
catkin_lint_cmake |
System Dependencies
Dependant Packages
Launch files
Messages
Services
Plugins
Recent questions tagged image_recognition_tensorflow at Robotics Stack Exchange
No questions yet, you can ask one on Robotics Stack Exchange.
Failed to get question list, you can ticket an issue on the github issue tracker.