Google Vision Sampler Save

Code examples for Google Vision API.

Project README

google-vision-sampler

Code examples for Google Vision API written in Python.

Description

Example codes has following features:

  • Face Detection
  • Landmark Detection
  • Logo Detection
  • Label Detection
  • Text Detection

Requirement

  • Python 3.x
  • Credentials

Setup

To install necessary library, simply use pip:

pip install google-cloud-vision

or,

pip install -r requirements.txt

Next, set up to authenticate with the Cloud Vision API using your project's service account credentials. See the Vision API Client Libraries for more information. Then, set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point to your downloaded service account credentials:

export GOOGLE_APPLICATION_CREDENTIALS=/path/to/your/credentials-key.json

Quick Start: Running the Example

Face Detection

Face Detection demo using FACE_DETECTION feature.

Face Detection

$ python examples/face_detection.py images/face.jpg
Joy Likelihood: 1
Joy Likelihood: 5

Label Detection

Label Detection demo using LABEL_DETECTION feature.

Label Detection

$ python examples/label_detection.py images/label.jpg
Labels:
laptop
electronic device
technology
netbook
computer keyboard
personal computer
gadget

Landmark Detection

Landmark Detection demo using LANDMARK_DETECTION feature.

Landmark Detection

$ python examples/landmark_detection.py images/landmark.jpg
Found landmark: Statue of Liberty

Logo Detection

Logo Detection demo using LOGO_DETECTION feature.

Logo Detection

$ python examples/logo_detection.py images/logo.jpg
Found logo: Starbucks

Text Detection

Text Detection demo using TEXT_DETECTION feature.

Text Detection

$ python examples/text_detection.py images/text.png
The Daily News
The martians have come at last
Lorem Ipsum is simply dummy Lorem Ipsum is simply dummy
text of the printing and typesettingext of the printing and typesetting
industry. Lorem Ipsum has been industry. Lorem Ipsum has been
the industry's standard dummy the industry's standard dummy
text ever since the 1500s, when text ever since the 1500s, whern
an unknown printer took a galley an unknown printer took a galley
of type and scrambled it to make of type and scrambled it to make
a type specimen book. It has a type specimen book. It has
survived not only five centuries survived not only five centuries
, but also the leap into electronic , but also the leap into electronic
...

Image Sizing

To enable accurate image detection within the Google Cloud Vision API, images should generally be a minimum of 640 x 480 pixels (about 300k pixels). Full details for different types of Vision API Feature requests are shown below:

Vision API Feature Recommended Size Notes
FACE_DETECTION 1600 x 1200 Distance between eyes is most important
LANDMARK_DETECTION 640 x 480
LOGO_DETECTION 640 x 480
LABEL_DETECTION 640 x 480
TEXT_DETECTION 1024 x 768 OCR requires more resolution to detect characters
SAFE_SEARCH_DETECTION 640 x 480

Licence

MIT

Author

Hironsan

Open Source Agenda is not affiliated with "Google Vision Sampler" Project. README Source: Hironsan/google-vision-sampler
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47
Open Issues
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Last Commit
1 year ago
License
MIT

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