Custom SSD_v2 model is not convert to TRT_engine

Robotics & Edge Computing Jetson & Embedded Systems Jetson Nano
14

Hi,

Sorry that it takes us some time to fix this issue.

We confirmed that your .pb model can be converted into TensorRT with this config.py.

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import graphsurgeon as gs
import tensorflow as tf
import numpy as np

Input = gs.create_node("Input",
    op="Placeholder",
    dtype=tf.float32,
    shape=[1, 3, 300, 300])
PriorBox = gs.create_plugin_node(name="GridAnchor", op="GridAnchor_TRT",
    numLayers=6,
    minSize=0.2,
    maxSize=0.95,
    aspectRatios=[1.0, 2.0, 0.5, 3.0, 0.33],
    variance=[0.1,0.1,0.2,0.2],
    featureMapShapes=[19, 10, 5, 3, 2, 1])
NMS = gs.create_plugin_node(name="NMS", op="NMS_TRT",
    shareLocation=1,
    varianceEncodedInTarget=0,
    backgroundLabelId=0,
    confidenceThreshold=1e-8,
    nmsThreshold=0.6,
    topK=100,
    keepTopK=100,
    numClasses=3,
    inputOrder= [0, 2, 1],
    confSigmoid=1,
    isNormalized=1)
concat_priorbox = gs.create_node(name="concat_priorbox", op="ConcatV2", dtype=tf.float32, axis=2)
concat_box_loc = gs.create_plugin_node("concat_box_loc", op="FlattenConcat_TRT", dtype=tf.float32, axis=1, ignoreBatch=0)
concat_box_conf = gs.create_plugin_node("concat_box_conf", op="FlattenConcat_TRT", dtype=tf.float32, axis=1, ignoreBatch=0)
dummy_const = gs.create_node(name="dummy_const", op="Const", dtype=tf.float32, value=np.array([1, 1], dtype=np.float32))

namespace_plugin_map = {
    "Concatenate": concat_priorbox,
    "MultipleGridAnchorGenerator": PriorBox,
    "Postprocessor": NMS,
    "image_tensor": Input,
    "Cast": Input,
    "ToFloat": Input,
    "Preprocessor": Input,
    "concat": concat_box_loc,
    "concat_1": concat_box_conf
}

namespace_remove = {
    "ToFloat",
    "image_tensor",
    "Preprocessor/map/TensorArrayStack_1/TensorArrayGatherV3",
}

def preprocess(dynamic_graph):
    dynamic_graph.remove(dynamic_graph.find_nodes_by_path(namespace_remove), remove_exclusive_dependencies=False)
    # Now create a new graph by collapsing namespaces
    dynamic_graph.collapse_namespaces(namespace_plugin_map)
    # Remove the outputs, so we just have a single output node (NMS).
    dynamic_graph.remove(dynamic_graph.graph_outputs, remove_exclusive_dependencies=False)
    dynamic_graph.append(dummy_const)
    dynamic_graph.find_nodes_by_op("GridAnchor_TRT")[0].input.append("dummy_const")
$ sudo python3 /usr/lib/python3.6/dist-packages/uff/bin/convert_to_uff.py frozen_inference_graph.pb -o sample_ssd_relu6.uff -O NMS -p config.py
$ /usr/src/tensorrt/bin/trtexec --uff=sample_ssd_relu6.uff --uffInput=Input,3,300,300 --output=NMS

Please let us know your results.
Thanks.