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Very simple TF-TRT application to detect objects from camera captured image

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tf-trt-ssd

Very simple TF-TRT application to detect objects from camera captured image. This application supports NVIDIA Jetson Nano Developer Kit only at this time.

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Prerequisites

  1. NVIDIA Jetson Nano Developer Kit and Raspberry Pi Camera V2.
  2. Install NVIDIA-AI-IOT/tf_trt_models and run tf_trt_models/examples/detection/detection.ipynb to have ssd_inception_v2_coco_trt.pb which is the deep neural network model for this application. Note that you may need to put Linux swap memory on Jetson Nano for its limited RAM size.
  3. Download coco-labels-paper.txt from amikelive/coco-labels.

Usage

Locate the tf-trt-ssd.py script, ssd_inception_v2_coco_trt.pb and coco-labels-paper.txt to the same directory, then run the script.

$ python3 tf-trt-ssd.py

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Very simple TF-TRT application to detect objects from camera captured image

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