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Adjust NonMaxSuppression score_threshold in build_detection_graph for ssd networks #19

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Adjust NonMaxSuppression score_threshold in build_detection_graph for ssd networks #19

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12 changes: 11 additions & 1 deletion tf_trt_models/detection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
import os
import tarfile
import subprocess
import warnings

from google.protobuf import text_format

Expand Down Expand Up @@ -86,7 +87,7 @@ def download_detection_model(model, output_dir='.'):

return config_path, checkpoint_path

def build_detection_graph(config, checkpoint):
def build_detection_graph(config, checkpoint, score_threshold=0.3):
"""Build an object detection model from the TensorFlow model zoo.

This function creates an object detection model, sourced from the
Expand All @@ -112,6 +113,8 @@ def build_detection_graph(config, checkpoint):
:type config: string
:param checkpoint: path to the checkpoint files prefix containing trained model params
:type checkpoint: string
:score_threshold: NonMaxSuppression score_threshold (default 0.3)
:type score_threshold: float
:returns: the configured frozen graph representing object detection model
:rtype: a tensorflow GraphDef
"""
Expand All @@ -123,6 +126,13 @@ def build_detection_graph(config, checkpoint):
config = TrainEvalPipelineConfig()
text_format.Merge(config_str, config)

try:
old_score = config.model.ssd.post_processing.batch_non_max_suppression.score_threshold
config.model.ssd.post_processing.batch_non_max_suppression.score_threshold=score_threshold
warnings.warn("The score threshold of NonMaxSuppression was set from "+str(old_score)+" to "+str(score_threshold))
except AttributeError:
warnings.warn("The score threshold of NonMaxSuppression can not be reconfigured")
pass

tf_config = tf.ConfigProto()
tf_config.gpu_options.allow_growth = True
Expand Down