2.1 KiB
2.1 KiB
Development roadmap
Here you can find details of the milestone roadmap for Pytorch-Wildlife:
October 0.1
✔ Packaging
- Add the YOLOv5 detection model.
- Add the Megadetector pretrained weights.
- Add a Notebook to create, load and run inference on the YOLOv5 detection model using Megadetector pretrained weights.
- Add an animal species classification model and pretrained weights.
November 0.2
✔ Packaging
- Add a documented animal video detection pipeline.
- Add a user-friendly interface for animal detection.
- Add a module for custom datasets.
- Add a Jupyter notebook for the video detection tutorial.
December 0.3
✔ Packaging
- Add the video detection pipeline to the user interface.
- Add animal classification to the user interface.
- Complete documentation on how to use the user-interface.
- Add a module for fine-tuning and training from scratch.
January 0.4
✔ Packaging
- Add a utilities module for data pre-processing and post-processing.
- Add Snapshot Serengeti classification weights.