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20.0 6.0 10.0 563.73 MB

Python 77.92% HTML 8.16% Shell 0.86% JavaScript 2.45% CSS 1.64% Jupyter Notebook 8.96%

deepgauge-ml-demo's Introduction

DeepGauge

In this project an ensembling machine learning (ML) model is trained and used to predict pressure levels from a manual gauge' images. The steps taken to train the model and implement predictions are explained in the gaugeReader jupyter notebook. To use this notebook, first install Python 3.6 and jupyter, and then run the following command in a terminal to clone the repository and open the notebook.

1- run 'git clone https://github.com/oci-labs/DeepGauge-ML-Demo.git'

2- go to the repository folder in a terminal

3- run 'jupyter notebook'

4- in the jupyter console, go to CustomEstimator folder and open gaugeReader.ipynb

5- run the whole document to install the required Python packages, download the images, and run the code blocks

deepgauge-ml-demo's People

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mekhod boardthatpowder ocielliottc jhkim4532 jiguanglu vichuda polyakovyevgeniy lelmedda nbgit10 chiuyuen-hsui

deepgauge-ml-demo's Issues

Accuracy of this project .

Hi:
First THX for sharing this project.
I Iterated 200 times，and the result is :

   **After 2000 epochs train_acc is 1.0000 and test_acc is 0.8480

      Time usage: 0:28:03**

But when I test a new image use "prediction_online.py", I got a bad result.

  ['psi_8_5']
  [0.87777895]
  psi_8_5 0.87777895 ./static/latest_streaming_frame_annotated.jpg

Can you give me some sugesstion?

Unable to download dataset

Hi,
I am using gaugeReader.ipynb

There is an error on the second step Downloading datasets

"evalue": "Error while fetching file https://storage.googleapis.com/gauge-images/ImageEveryUnit.zip. Dataset fetching aborted.\nError: ",

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