CS6825

CS6825: Computer Vision

Instructor

Outline

Syllabus

Projects

Links

Goolge Cloud Vision API Example in Python

....will run on your Google Cloud Account

STEP 1: log into (create if you dont have one) Google Cloud Account

STEP 2: create a new project inside Cloud Console

The result is a new project --- take note of your project ID you will use it later

STEP3: Enable the Vision API in your project

Navigate to the API Manager

The API manager sets which APIs are enabled for your project.

Open the menu on the left side of the console.

Then, select the APIs & services section.

View Available APIs
To enable APIs, click the Enable API button.

Select Vision API
Click on the Vision API link.

We will create credentials for your project later in this tutorial

STEP 4: Setup some basic code

you have a lot of options here -you can use any IDE you want and then learn how to deploy the code to Google Cloud. and hook up your code to a GitHub repository. PyCharm is a good idea for Python from itelliJ ...

NOTE you can develop in any language you want not just Python. Read about Google's support for other languages like Java. See here for example code in Java.

another option --not as good for long-term coding or more elaborate coding but, for a quick demo we will use the Google Cloud console's built-in
Using Google Cloud Shell to clone an existing code sample given by Google
Cloud Shell is a built-in command line tool for the console. We're going to use Cloud Shell to run our app.

STEP 1: Open Google Cloud Shell

Open Cloud Shell by clicking the cloud shell icon in the navigation bar at the top.

STEP 2: Clone the sample code

Use Cloud Shell to clone and navigate to the "Hello World" code. The sample code is cloned from your project repository to the Cloud Shell.

In Cloud Shell enter:

Clone a sample repository:
step a: create an evironment variable we will use to create a sample directory in your project

TUTORIALDIR=src/YOURProjectID/python_vision_quickstart

FOR ME THIS WOULD MEAN TYPING IN

TUTORIALDIR=src/isight-2018/python_vision_quickstart

Step b: grab one of the Existing (search on Google Cloud Vision) Git Repository samples you want to try
git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git $TUTORIALDIR
HERE is an example of me doing the above
NOW change directory into the newly copied code (note the directory will be dependent on the code you cloned)
cd $TUTORIALDIR/vision/cloud-client/quickstart
              
Python code that reads in a image file stored in resources/wakeupcat.jpg and calls the Google Vision label detection on it.
.... note it first does importing of google cloud vision library and istantiates a vision ImageAnnotator client.

************quickstart.py file************

#!/usr/bin/env python

# Copyright 2016 Google Inc. All Rights Reserved.

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#     http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

def run_quickstart():

    # [START vision_quickstart]

    import io

    import os

    # Imports the Google Cloud client library

    # [START migration_import]

    from google.cloud import vision

    from google.cloud.vision import types

    # [END migration_import]

    # Instantiates a client

    # [START migration_client]

    client = vision.ImageAnnotatorClient()

    # [END migration_client]

    # The name of the image file to annotate

    file_name = os.path.join(

        os.path.dirname(__file__),

        'resources/wakeupcat.jpg')

    # Loads the image into memory

    with io.open(file_name, 'rb') as image_file:

        content = image_file.read()

    image = types.Image(content=content)

    # Performs label detection on the image file

    response = client.label_detection(image=image)

    labels = response.label_annotations

    print('Labels:')

    for label in labels:

        print(label.description)

    # [END vision_quickstart]

if __name__ == '__main__':

    run_quickstart()

STEP 5: Create Credentials

need credentials to use API so your application can authenticate its identity to service

create service account, a service account key and set the key as our default credentials.

type in the Google Cloud Console once you are logged in

>>>>>to get to console hit the icon for it in navigation bar

gcloud iam service-accounts create vision-quickstart; \
gcloud iam service-accounts keys create key.json --iam-account \
vision-quickstart@YOUR_PROJECTID.iam.gserviceaccount.com \
&& export GOOGLE_APPLICATION_CREDENTIALS=key.json

Here is example of me running this and the name of the service account is vision-quickstart for my project id isight-2018

alternative --- do it through the main console

here is result of creating credentials

to create an API key click this "Create Credentials-> API Key"

STEP 6: Run your code (then modify and rerun)

Image we will process

run from the Google Cloud Console

python quickstart.py

Output

STEP 1: log into (create if you dont have one) Google Cloud Account

STEP 2: create a new project inside Cloud Console

The result is a new project --- take note of your project ID you will use it later

STEP3: Enable the Vision API in your project

Navigate to the API Manager

The API manager sets which APIs are enabled for your project.

Open the menu on the left side of the console.

Then, select the APIs & services section.

View Available APIs
To enable APIs, click the Enable API button.

Select Vision API
Click on the Vision API link.

We will create credentials for your project later in this tutorial

STEP 4: Setup some basic code

you have a lot of options here -you can use any IDE you want and then learn how to deploy the code to Google Cloud. and hook up your code to a GitHub repository. PyCharm is a good idea for Python from itelliJ ...

NOTE you can develop in any language you want not just Python. Read about Google's support for other languages like Java. See here for example code in Java.

another option --not as good for long-term coding or more elaborate coding but, for a quick demo we will use the Google Cloud console's built-in

Using Google Cloud Shell to clone an existing code sample given by Google

Cloud Shell is a built-in command line tool for the console. We're going to use Cloud Shell to run our app.

STEP 1: Open Google Cloud Shell

Open Cloud Shell by clicking the cloud shell icon in the navigation bar at the top.

STEP 2: Clone the sample code

Use Cloud Shell to clone and navigate to the "Hello World" code. The sample code is cloned from your project repository to the Cloud Shell.

In Cloud Shell enter:

Clone a sample repository:

Python code that reads in a image file stored in resources/wakeupcat.jpg and calls the Google Vision label detection on it.
.... note it first does importing of google cloud vision library and istantiates a vision ImageAnnotator client.

STEP 5: Create Credentials

need credentials to use API so your application can authenticate its identity to service

create service account, a service account key and set the key as our default credentials.

Here is example of me running this and the name of the service account is vision-quickstart for my project id isight-2018

alternative --- do it through the main console

here is result of creating credentials

to create an API key click this "Create Credentials-> API Key"

STEP 6: Run your code (then modify and rerun)

Image we will process

run from the Google Cloud Console

`python quickstart.py`

Output

STEP 7: Learn about the google vision api

STEP 1: log into (create if you dont have one) Google Cloud Account

STEP 2: create a new project inside Cloud Console

The result is a new project --- take note of your project ID you will use it later

STEP3: Enable the Vision API in your project

Navigate to the API Manager

The API manager sets which APIs are enabled for your project.

Open the menu on the left side of the console.

Then, select the APIs & services section.

View Available APIs To enable APIs, click the Enable API button.

Select Vision API Click on the Vision API link.

We will create credentials for your project later in this tutorial

STEP 4: Setup some basic code

you have a lot of options here -you can use any IDE you want and then learn how to deploy the code to Google Cloud. and hook up your code to a GitHub repository. PyCharm is a good idea for Python from itelliJ ...

NOTE you can develop in any language you want not just Python. Read about Google's support for other languages like Java. See here for example code in Java.

another option --not as good for long-term coding or more elaborate coding but, for a quick demo we will use the Google Cloud console's built-in

Using Google Cloud Shell to clone an existing code sample given by Google

Cloud Shell is a built-in command line tool for the console. We're going to use Cloud Shell to run our app.

STEP 1: Open Google Cloud Shell

Open Cloud Shell by clicking the cloud shell icon in the navigation bar at the top.

STEP 2: Clone the sample code

Use Cloud Shell to clone and navigate to the "Hello World" code. The sample code is cloned from your project repository to the Cloud Shell.

In Cloud Shell enter:

Clone a sample repository:

Python code that reads in a image file stored in resources/wakeupcat.jpg and calls the Google Vision label detection on it. .... note it first does importing of google cloud vision library and istantiates a vision ImageAnnotator client.

STEP 5: Create Credentials

need credentials to use API so your application can authenticate its identity to service

create service account, a service account key and set the key as our default credentials.

Here is example of me running this and the name of the service account is vision-quickstart for my project id isight-2018

alternative --- do it through the main console

here is result of creating credentials

to create an API key click this "Create Credentials-> API Key"

STEP 6: Run your code (then modify and rerun)

Image we will process

run from the Google Cloud Console

python quickstart.py

Output

STEP 7: Learn about the google vision api

View Available APIs
To enable APIs, click the Enable API button.

Select Vision API
Click on the Vision API link.

Python code that reads in a image file stored in resources/wakeupcat.jpg and calls the Google Vision label detection on it.
.... note it first does importing of google cloud vision library and istantiates a vision ImageAnnotator client.

`python quickstart.py`