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Repository for a PyTorch implementation of the YOLO model for the course 02456 Deep Learning at the Technical University of Denmark.

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02456-yolo 😎

Spicy example

Repository for a PyTorch implementation of the YOLO model for the course 02456 Deep Learning at the Technical University of Denmark.

Usage 🚀

To annotate a single image, run the detect.py script as follows:

python detect.py filename.extension

This will save the annotated image as filename_annotated.png, in the same location as filename.extension.

To annotate an entire folder of images and compile a GIF with the results:

python detect.py --dir directory --savedir output_directory --gif

This will save all the individual annotated images and the GIF in output_directory.

For more help, see

python detect.py -h

Architecture 🧞

Data 💻

HELMET dataset: https://osf.io/4pwj8/

Authors 🤓

  • Alma Fazlagic
  • Anton Thestrup Jørgensen
  • Rasmus Wael Lind
  • Rune Henrik Verder Sehested

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Repository for a PyTorch implementation of the YOLO model for the course 02456 Deep Learning at the Technical University of Denmark.

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