WildFire dataset and additional pretrained models

This release adds a video dataset and multiple pretrained models.

Note: pyrovision 0.1.1 requires PyTorch 1.2 and torchvision 0.4.0 or newer.

Highlights

Datasets

Wildfire detection visual datasets
New

• Added WildFireDataset (#46, #47, #77) and FrameExtractor (#48, #63)
• Added subsampled variant of WildFireDataset (#66)

Improvements

• Cleaned codebase (#76, #97)
• Improved constructor flexibility of OpenFire (#34)

Models

Common model architectures with pretrained parameters for wildfire detection
New

• Added pretrained SubsamplerResNet (#69)
• Added pretrained ReXNet (#86)

Improvements

• Replaced Flatten with torch version (#102)

References

Scripts for training models
New

• Added training script for WildFireDataset (#64)

Improvements

• Updated training script of WildFire (#101)

Test

Verification of the package well-being before release
Improvements

• Updated OpenFire download tolerance (#100)
• Cleaned out fixtures (#105)

Documentation

Online resources for potential users
New

• Added WildFireDataset to documentation (#54)

Improvements

• Updated CONTRIBUTING (#71)
• Updated README (#75, #87)

Fixes

• Fixed README (#51, #110)
• Fixed requirements (#106)
• Removed utils module (#107)

Others

Other tools and implementations
New

• Switched from CircleCI to Github Workflow (#68, #73)
• Added markdown URL checker (#72)
• Updated license (#78, #95)

Improvements

• Fixed header encoding (#55)
• Improved CI trigger event (#74)
• Updated setup.py (#67)
• Renamed package (#84)
• Moved env collection script outside of lib (#96, #98, #110)

Fixes

• Fixed version attribute (#57)
• Fixed codecov integration (#83)
• Fixed doc deployment (#85)