Brian Kelly briankelly

## keybase.md

      
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                briankelly
                / keybase.md
            
            
              Created
              May 9, 2014 13:57
            
          
    Keybase proof

I hereby claim:

I am briankelly on github.
I am bkelly (https://keybase.io/bkelly) on keybase.
I have a public key whose fingerprint is CDC2 8DA1 5CB2 47B6 2C39  8EA7 BCD9 E892 FB22 E635

To claim this, I am signing this object:

  
## myopenid_sunset_2013-09-04.txt
---------- Forwarded message ----------
From: Larry Drebes, Janrain <larry.drebes@janrain.com>
Date: Wed, Sep 4, 2013 at 10:43 AM
Subject: Important Update about myOpenID


Hello,

I wanted to reach out personally to let you know that we have made the decision to end of life the myOpenID service. myOpenID will be turned off on February 1, 2014.

## load-dataset-fiftyone.py
import fiftyone.zoo as foz

# Load COCO validation split
dataset = foz.load_zoo_dataset("coco-2017", split="validation")
classes = dataset.info["classes"]

# Explore the dataset in the App
session = fo.Session(dataset=dataset)

## index-by-uniqueness-fiftyone.py
import fiftyone.brain as fob

fob.compute_uniqueness(dataset)

# Explore most unique samples
session.view = dataset.sort_by("uniqueness", reverse=True)

## install-fiftyone.sh
# Run these each of these in a clean, activated virtual environment running Python 3.6+
# See docs for more help: https://voxel51.com/docs/fiftyone/getting_started/install.html

pip install --upgrade pip setuptools wheel
pip install --index https://pypi.voxel51.com fiftyone
	---------- Forwarded message ----------
	From: Larry Drebes, Janrain <larry.drebes@janrain.com>
	Date: Wed, Sep 4, 2013 at 10:43 AM
	Subject: Important Update about myOpenID


	Hello,

	I wanted to reach out personally to let you know that we have made the decision to end of life the myOpenID service. myOpenID will be turned off on February 1, 2014.
	import fiftyone.zoo as foz

	# Load COCO validation split
	dataset = foz.load_zoo_dataset("coco-2017", split="validation")
	classes = dataset.info["classes"]

	# Explore the dataset in the App
	session = fo.Session(dataset=dataset)
	import fiftyone.brain as fob

	fob.compute_uniqueness(dataset)

	# Explore most unique samples
	session.view = dataset.sort_by("uniqueness", reverse=True)
	# Run these each of these in a clean, activated virtual environment running Python 3.6+
	# See docs for more help: https://voxel51.com/docs/fiftyone/getting_started/install.html

	pip install --upgrade pip setuptools wheel
	pip install --index https://pypi.voxel51.com fiftyone