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  • Installation
    • Python Installation
      • requirements
      • basic installation:
      • extra python libs for parallel training
    • Docker
  • Usage
    • 0. Check the config file by Visualization
    • 1. Training
    • 2. Evaluation
    • 3. Export to ONNX or TRT model
  • Config System
    • MODEL
    • TRAIN
      • TRAIN.OPTIMIZER
      • TRAIN.LR_SCHEDULER
    • TEST
    • POST_PROCESS
    • DATASET
    • DATASET.PREPROC
    • Others
  • ssds.pytorch API
    • ssds.core
      • ssds.core.checkpoint
      • ssds.core.config
      • ssds.core.criterion
      • ssds.core.data_parallel
      • ssds.core.evaluation_metrics
      • ssds.core.optimizer
      • ssds.core.visualize_funcs
    • ssds.dataset
      • ssds.dataset.dataset_factory
      • ssds.dataset.detection_dataset
      • ssds.dataset.coco
      • ssds.dataset.dali_dataiterator
      • ssds.dataset.dali_coco
      • ssds.dataset.dali_tfrecord
      • ssds.dataset.transforms
    • ssds.modeling
      • ssds.modeling.layers
        • ssds.modeling.layers.box
        • ssds.modeling.layers.decoder
      • ssds.modeling.nets
        • ssds.modeling.nets.darknet
        • ssds.modeling.nets.densenet
        • ssds.modeling.nets.efficientnet
        • ssds.modeling.nets.effnet
        • ssds.modeling.nets.inception_v2
        • ssds.modeling.nets.mobilenet
        • ssds.modeling.nets.regnet
        • ssds.modeling.nets.resnet
        • ssds.modeling.nets.shufflenet
      • ssds.modeling.ssds
        • ssds.modeling.ssds.ssdsbase
        • ssds.modeling.ssds.ssd
        • ssds.modeling.ssds.yolo
        • ssds.modeling.ssds.fpn
        • ssds.modeling.ssds.bifpn
      • ssds.modeling.model_builder
    • ssds.pipeline
      • ssds.pipeline.pipeline_anchor_apex
      • ssds.pipeline.pipeline_anchor_basic
    • ssds.ssds
ssds.pytorch
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