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tracklet_parser's Introduction

Welcome to my GitHub!

I'm a keen master's student in computer science, offering a problem solving mentality and a strong emphasis on clean code. My interests cover software design, backend development and machine learning applications in 2D/3D image processing ๐Ÿ’ป

Broad overview about this page:

What I'm mostly working with:

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tracklet_parser's Issues

Add argument parser for script automation

Describe the feature
Adding an argument parser to its initial functionality.

Motivation
As some might want to automate the steps to create label files, It'd be handy to be able to execute the tracklet parser via command line with arguments. E.g.

python parser.py --labels <tracklet_labels.xml> --frames <frame_list.txt> --out <output_dir>

Not able to import TrackletParser

Describe the bug
Hi,

I am trying to implement tracklet_parser on Google Colab. I cloned the repository and ran the setup.py file. For the next step as shown on in https://github.com/holtvogt/tracklet_parser, I am trying to import the TrackletParser. But it is not able to import it and shows error.

To Reproduce
Steps to reproduce the behavior:

  1. Go to Google Colab Notebook.
  2. Clone the repo using !git clone https://github.com/holtvogt/tracklet_parser
  3. Set the current directory using %cd /content/tracklet_parser
  4. Run the setup.py file using !python setup.py install
  5. Import TrackletParser using from tracklet_parser import TrackletParser
  6. See error.

Expected behavior
The TrackletParser should be imported. However, I see error on importing.

Screenshots
The screenshot of the error is attached below.
image

Please let me know how to handle this.

Rotation angle in tracklet_labels.xml

When labeling my point cloud data via CVAT, I observed that the only meaningful rotation angle that changes, is the rotation angle z. This makes sense in a manner that in LiDAR coordinates, this is the yaw axis.

Maybe this query

elif pose_attribute.tag == "ry":

needs to be adjusted to the proper camera coordinate conversion (as y in camera coordinates is -z in LiDAR coordinates):

elif pose_attribute.tag == "rz":
    tracklet.rotation_y = -float(pose_attribute.text)

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