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NCSDK 2.10 OPTION: --tf-ssd-config

The --tf-ssd-config option allows the TensorFlow SSD MobileNet v1/v2 coco networks to be used with the NCSDK 2.10 toolkit commands: mvNCCompile, mvNCCheck, and mvNCProfile.

NCSDK TensorFlow ssd config file format:

TensorFlow SSD config files for NCSDK follow a simple template. Modifications to your config file may be necessary for compatibility with the NCSDK.

Example TensorFlow ssd config file:

input_height: 300
input_width: 300

postprocessing_params {
    num_classes: 91
    background_label_id: 0
    max_detections: 100

    nms_params {
        score_threshold: 0.300000011921
        iou_threshold: 0.600000023842
        max_detections_per_class: 100
    }

    box_params {
        var: 0.1
        var: 0.1
        var: 0.2
        var: 0.2
  }
}

score_converter: SIGMOID


Usage

This option can be used with the mvNCCompile, mvNCCheck and mvNCProfile toolkit commands. The usage is as follows:

--tf-ssd-config <TENSORFLOW SSD CONFIG FILE>

Example mvNCCompile command:

mvNCCompile tf_ssd_mobilenet_v1.pb --tf-ssd-config ncsdk_tf_ssd.config -s 12

Comments

  • 2 Comments sorted by Votes Date Added
  • Hi @Jesus_at_Intel,

    We trained for traffic signs of 47classes using ssd_inception_v2 and tensorflow object detection API.
    When we try to convert into NCS graph, No error and after 1-2min machine is going into NO RESPOND mode(stuck) .
    Can you help us to resolve the issue?

    Regards,
    Sai Krishna.

  • After trying this, I get the following error:

    [Error 13] Toolkit Error: Provided OutputNode/InputNode name does not exist or does not match with one contained in model file Provided: . Input node flag not supported for SSD networks.
    

    when removing the input node flag I get:

    [Error 13] Toolkit Error: Provided OutputNode/InputNode name does not exist or does not match with one contained in model file Provided: . Could not infer input node name.
    
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