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Corrected SSD text graph generation

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This commit is contained in:
Anastasia Murzova 2021-01-27 00:59:10 +03:00
parent ca9cbab532
commit 449ebc1b70
1 changed files with 9 additions and 1 deletions
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10
samples/dnn/tf_text_graph_ssd.py
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@ -122,7 +122,6 @@ def createSSDGraph(modelPath, configPath, outputPath):
print('Input image size: %dx%d' % (image_width, image_height))
# Read the graph.
_inpNames = ['image_tensor']
outNames = ['num_detections', 'detection_scores', 'detection_boxes', 'detection_classes']
writeTextGraph(modelPath, outputPath, outNames)
@ -247,6 +246,15 @@ def createSSDGraph(modelPath, configPath, outputPath):
graph_def.node[1].input.append(graph_def.node[0].name)
graph_def.node[1].input.append(weights)
# check and correct the case when preprocessing block is after input
preproc_id = "Preprocessor/"
if graph_def.node[2].name.startswith(preproc_id) and \
graph_def.node[2].input[0].startswith(preproc_id):
if not any(preproc_id in inp for inp in graph_def.node[3].input):
graph_def.node[3].input.insert(0, graph_def.node[2].name)
# Create SSD postprocessing head ###############################################
# Concatenate predictions of classes, predictions of bounding boxes and proposals.