PiePline toolbelt

Installation:

pip install pietoolbelt

Install latest version before it's published on PyPi

pip install -U git+https://github.com/PiePline/pietoolbelt

Functional

• augmentations
  • augmentations.detection - predefined augmentations for detection task
  • augmentations.segmentation - predefined augmentations for segmentation task
• datasets
  • datasets.stratification - stratification by histogram
  • datasets.utils - set of datasets constructors that
• losses
  • losses.common - losses utils
  • losses.regression - regression losses
  • losses.segmentation - losses for single and multi-class segmentation
  • losses.detection - losses for detection task
• metrics -
  • metrics.common - common utils for metrics
  • cpu - metrics, that calculates by numpy
    • metrics.cpu.classification - classification metrics
    • metrics.cpu.detection - detection metrics
    • metrics.cpu.regression - regression metrics
    • metrics.cpu.segmentation - segmentation metrics
  • torch - metrics, that calculates by torch
    • metrics.torch.classification - classification metrics
    • metrics.torch.detection - detection metrics
    • metrics.torch.regression - regression metrics
    • metrics.torch.segmentation - segmentation metrics
• models - models zoo and constructors
  • decoders.unet - UNet decoder, that automatically constructs by encoder
  • encoders.common - basic interfaces for encoders
  • encoders.inception - InceptionV3 encoder
  • encoders.mobile_net - MobileNetV2 encoder
  • encoders.resnet - ResNet encoders
  • albunet - albunet model
  • utils - models utils
  • weights_storage - pretrained weights storage
• steps - some training process steps
  • regression.train - train step for regression task
  • regression.bagging - bagging step for regression task
  • segmentation.bagging - bagging step for segmentation task
  • segmentation.inference - inference for segmentation model
  • segmentation.predict - predict step for segmentation task
  • stratification - dataset stratification class
• img_matcher - image comparison and matching tool based on descriptors
• mask_composer - mask composer tools that can effectively combine masks for regular, instance or multiclass segmentation
• train_config - some predefined train configs for PiePline
• tta - test time augmentations
• utils - some utils
• viz - image visualisation tools