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