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Merge pull request #21123 from cclauss:patch-3
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commit
444218e755
@ -270,12 +270,12 @@ def createSSDGraph(modelPath, configPath, outputPath):
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addConstNode('concat/axis_flatten', [-1], graph_def)
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addConstNode('PriorBox/concat/axis', [-2], graph_def)
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for label in ['ClassPredictor', 'BoxEncodingPredictor' if box_predictor is 'convolutional' else 'BoxPredictor']:
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for label in ['ClassPredictor', 'BoxEncodingPredictor' if box_predictor == 'convolutional' else 'BoxPredictor']:
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concatInputs = []
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for i in range(num_layers):
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# Flatten predictions
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flatten = NodeDef()
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if box_predictor is 'convolutional':
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if box_predictor == 'convolutional':
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inpName = 'BoxPredictor_%d/%s/BiasAdd' % (i, label)
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else:
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if i == 0:
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@ -308,7 +308,7 @@ def createSSDGraph(modelPath, configPath, outputPath):
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priorBox = NodeDef()
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priorBox.name = 'PriorBox_%d' % i
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priorBox.op = 'PriorBox'
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if box_predictor is 'convolutional':
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if box_predictor == 'convolutional':
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priorBox.input.append('BoxPredictor_%d/BoxEncodingPredictor/BiasAdd' % i)
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else:
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if i == 0:
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