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main.py
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main.py
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import settings
from loader.model_loader import loadmodel
from feature_operation import hook_feature,FeatureOperator
from visualize.report import generate_html_summary
from util.clean import clean
fo = FeatureOperator()
model = loadmodel(hook_feature)
############ STEP 1: feature extraction ###############
features, maxfeature = fo.feature_extraction(model=model)
for layer_id,layer in enumerate(settings.FEATURE_NAMES):
############ STEP 2: calculating threshold ############
thresholds = fo.quantile_threshold(features[layer_id],savepath="quantile.npy")
############ STEP 3: calculating IoU scores ###########
tally_result = fo.tally(features[layer_id],thresholds,savepath="tally.csv")
############ STEP 4: generating results ###############
generate_html_summary(fo.data, layer,
tally_result=tally_result,
maxfeature=maxfeature[layer_id],
features=features[layer_id],
thresholds=thresholds)
if settings.CLEAN:
clean()