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Merge pull request #19404 from LupusSanctus:am/text_graph_preproc
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@ -122,7 +122,6 @@ def createSSDGraph(modelPath, configPath, outputPath):
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print('Input image size: %dx%d' % (image_width, image_height))
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# Read the graph.
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_inpNames = ['image_tensor']
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outNames = ['num_detections', 'detection_scores', 'detection_boxes', 'detection_classes']
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writeTextGraph(modelPath, outputPath, outNames)
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@ -247,6 +246,15 @@ def createSSDGraph(modelPath, configPath, outputPath):
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graph_def.node[1].input.append(graph_def.node[0].name)
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graph_def.node[1].input.append(weights)
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# check and correct the case when preprocessing block is after input
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preproc_id = "Preprocessor/"
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if graph_def.node[2].name.startswith(preproc_id) and \
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graph_def.node[2].input[0].startswith(preproc_id):
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if not any(preproc_id in inp for inp in graph_def.node[3].input):
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graph_def.node[3].input.insert(0, graph_def.node[2].name)
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# Create SSD postprocessing head ###############################################
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# Concatenate predictions of classes, predictions of bounding boxes and proposals.
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