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cs:vision:image_tagging:start [2018/03/22 13:06] Mike Bykhovtsev Added section for Windows users, and uploaded file. |
cs:vision:image_tagging:start [2018/03/30 13:21] Mike Bykhovtsev Added instruction to update rslable. Added one more table about rslabel mark |
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This removes the need to add the -c flag repeatedly. This script can also be symlinked to without issues. | This removes the need to add the -c flag repeatedly. This script can also be symlinked to without issues. | ||
+ | |||
+ | === Sloth alias === | ||
+ | |||
+ | You can set up an alias in your bashrc. To do so run (replace "~/vision_dev" with path to your vision_dev repo): | ||
+ | echo "alias sloth='~/vision_dev/sloth/./robosub_sloth.sh'" >> ~/.bashrc | ||
+ | source ~/.bashrc | ||
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Getting, validating, and returning labeling data is handled through the ''%%rslabel%%'' utility program. It currently only supports python 2.x versions. To install it, run | Getting, validating, and returning labeling data is handled through the ''%%rslabel%%'' utility program. It currently only supports python 2.x versions. To install it, run | ||
sudo pip install rslabel | sudo pip install rslabel | ||
+ | | ||
+ | To update rslabel for new features run | ||
+ | sudo pip install --upgrade rslabel | ||
There are a number of commands to be used with ''%%rslabel%%'', including ''%%show%%'', ''%%get%%'', ''%%return%%'', ''%%upload%%'', and ''%%collect%%''. | There are a number of commands to be used with ''%%rslabel%%'', including ''%%show%%'', ''%%get%%'', ''%%return%%'', ''%%upload%%'', and ''%%collect%%''. | ||
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|''%%rslabel upload [ROSBAG]%%'' | Takes a ROS bag file and break the images out into datasets for labeling. It will then upload the files to the server for labeling. | | |''%%rslabel upload [ROSBAG]%%'' | Takes a ROS bag file and break the images out into datasets for labeling. It will then upload the files to the server for labeling. | | ||
|''%%rslabel collect%%'' | Collects all of the labeled and validated images into a single dataset for use with object detection training. | | |''%%rslabel collect%%'' | Collects all of the labeled and validated images into a single dataset for use with object detection training. | | ||
+ | |''%%rslabel mark%%'' | A tool which is used for validating data, highlights the box which is there. | | ||
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