Google Git
Sign in
opensecura / ml-models-public / de45a37bd1972b146afdd7ede0d1e766d8ba6693
commitde45a37bd1972b146afdd7ede0d1e766d8ba6693[log] [tgz]
authorLun Dong <lundong@google.com>Tue Sep 20 11:34:43 2022 -0700
committerLun Dong <lundong@google.com>Tue Sep 20 17:49:43 2022 -0700
tree09f95505d0d0d7c7fc0348368650c34369bd4d1c
parent19e0cd4d9dc51d6ee5a67aafe4565782bf044bba [diff]
Move HPS model related stuffs to public folder

Move HPS model related stuffs from internal to public folder.

Change-Id: I94ee96f7c86f1bc183f4425a4043c693a7b6988d
13 files changed
tree: 09f95505d0d0d7c7fc0348368650c34369bd4d1c
  1. float_models/
  2. quant_models/
  3. test_data/
  4. CMakeLists.txt
  5. README.md
README.md

Public ML model zoo

This is the model zoo for public models used in Shodan vector core examples.

Model discription

person_detection.tflite

The person presence detection quantized model from https://github.com/tensorflow/tflite-micro/blob/main/tensorflow/lite/micro/models/person_detect.tflite

mobilenet_v1_0.25_224_float.tflite

Mobilenet V1 float-point model from https://tfhub.dev/tensorflow/lite-model/mobilenet_v1_0.25_224/1/default/1?lite-format=tflite

mobilenet_v1_0.25_224_quant.tflite

Mobilenet V1 quantized model from https://tfhub.dev/tensorflow/lite-model/mobilenet_v1_0.25_224_quantized/1/default/1?lite-format=tflite

mobilenet_v2_1.0_224_quant.tflite

Mobilenet V2 quantized model from https://tfhub.dev/tensorflow/lite-model/mobilenet_v2_1.0_224_quantized/1/default/1?lite-format=tflite

hps_quant.tflite

HPS (Human Presence Sensor) non-tiled quantized model from https://chromium.googlesource.com/chromiumos/platform/hps-firmware/+/6cdea6d1158a8cd3238b8ae4f744fdb494779c80/models/shared.tflite

Visualize the model

For tflite models, use the web-based visualization tool to inspect the file. The tool supports drag and drop or file GUI.

Test data

Test data for sample model inputs are in the “test_data” directory. Currently, only test data for the Human Presence Sensor model are included.

hps_0-6.jpg

Test image files for Human Presence Sensor model, from ChromeOS codebase.

Model executables

For each model, the corresponding model executable under iree_exec can be built with the .c/.h files using sw/vec_iree project as library. They can be run as unit tests via lit framework using Renode or QEMU.