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Microsoft Biodiversity

TimeLapse

microsoft/Biodiversity

Microsoft Biodiversity

microsoft/Biodiversity

PyTorch-Wildlife
PyTorch-Wildlife
What's New?
What's New?
Model Zoo
Model Zoo
Demo and UI
Demo and UI
Contribute
Contribute
Reference - Code API
Reference - Code API
- Base Module
  Base Module
  - Overview
  - Data
    Data
    
    Datasets
    
    Transforms
  - Models
    Models
    
    Classification
    Classification
    
    Base Classifier
    Base Classifier
    
    Base Classifier
    
    ResNet Base
    ResNet Base
    
    ResNet Base
    
    Amazon
    
    Custom Weights
    
    Opossum
    
    Serengeti
    
    TIMM Base
    TIMM Base
    
    Timm Base
    
    DFNE
    
    Deepfaune
    
    Detection
    Detection
    
    Base Detector
    Base Detector
    
    Base Detector
    
    HerdNet
    HerdNet
    
    HerdNet
    
    DLA
    
    Model
    
    Animaloc
    Animaloc
    
    Data
    Data
    
    Patches
    
    Types
    
    Eval
    Eval
    
    LMDS
    
    Stitchers
    
    Ultralytics Based
    Ultralytics Based
    
    Deepfaune
    
    MegaDetector v5
    MegaDetector v5
    
    MegaDetector v5
    
    MegaDetector v6
    MegaDetector v6
    
    MegaDetector v6
    
    MegaDetector v6 Distributed
    
    YOLOv5 Base
    YOLOv5 Base
    
    YOLOv5 Base
    
    YOLOv8 Base
    YOLOv8 Base
    
    YOLOv8 Base
    
    YOLOv8 Distributed
    YOLOv8 Distributed
    
    YOLOv8 Distributed
  - Utils
    Utils
    
    Misc
    
    Post process
- Model Fine-tuning
  Model Fine-tuning
  - Overview
  - Classification Fine-tuning
    Classification Fine-tuning
    
    Overview
  - Detection Fine-tuning
    Detection Fine-tuning
    
    Overview

PyTorch-Wildlife and TimeLapse¶

PyTorch-Wildlife offers native output formats that are directly compatible with TimeLapse. We will provide more details on this in future releases! We will keep you posted!