##DeepKnowledge @Designtime & @Runtime version

Author: MissaouiSondess @ UoY

Folder structure

parent
├── DeepKnw_pack ← downloads here (1 MB)
└── Metadata
    └── config.py ←  data & model paths here
    └── dataset   ←  download data here
    └── data   ←  Designtime execution (needed for runtime)
    └── experiments   ←  Designtime execution
    └── Networks  
        └── KIOS ←  trained model weights here

Use Case MetaDat

Each use case, i.e., KIOS, PAL, has its customized settings and metadata. These can be provided up to request.

Installation

cd DIRECTORY/DeepKnw_pack/

python setup.py install

####Example usage for DesignTime Deployment:

import DeepKnw_run as knw

COV=knw.DeepKnw(PATH_To_CONFIG_FILE)

test_path=PATH_To_TestData_Images
size=5000 (← EXPL)

test_loader = COV.getTestloader(test_path,size)

RSLT=COV.estimate_coverage(test_loader)

####Example usage for RunTime Deployment:

import DeepKnw_run as knw

COV=knw.DeepKnw(PATH_To_CONFIG_FILE)

YOLOloader, model_features=COV.DesignDataAnalyzer()

Frames_path=PATH_To_RunTime_Data


Deepknowledge_Uncertainty=COV.Runtime_Estimate(Frame_path,YOLOloader)