david-macleod

import tensorflow as tf 
from object_detection.anchor_generators.multiple_grid_anchor_generator import create_ssd_anchors
from object_detection.models.ssd_mobilenet_v2_feature_extractor_test import SsdMobilenetV2FeatureExtractorTest
import matplotlib.pyplot as plt
from matplotlib import patches
import numpy as np


def get_feature_map_shapes(image_height, image_width):
    """

Prasad9

<annotation>
	<folder>GeneratedData_Train</folder>
	<filename>000001.png</filename>
	<path>/my/path/GeneratedData_Train/000001.png</path>
	<source>
		<database>Unknown</database>
	</source>
	<size>
		<width>224</width>
		<height>224</height>

venik

#!/usr/bin/env bash

# Author: Sasha Nikiforov

# source of inspiration
# https://stackoverflow.com/questions/41293077/how-to-compile-tensorflow-with-sse4-2-and-avx-instructions

# Detect platform
if [ "$(uname)" == "Darwin" ]; then
	# MacOS

iconara

-- Table information like sortkeys, unsorted percentage
-- see http://docs.aws.amazon.com/redshift/latest/dg/r_SVV_TABLE_INFO.html
SELECT * FROM svv_table_info;

-- Table sizes in GB
SELECT t.name, COUNT(tbl) / 1000.0 AS gb
FROM (
  SELECT DISTINCT datname, id, name
  FROM stv_tbl_perm
  JOIN pg_database ON pg_database.oid = db_id

jkreps

Producer

Setup
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test-rep-one --partitions 6 --replication-factor 1
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test --partitions 6 --replication-factor 3

Single thread, no replication

bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance test7 50000000 100 -1 acks=1 bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196

bkimble

#!/usr/bin/env ruby

# List all keys stored in memcache. 
# Credit to Graham King at http://www.darkcoding.net/software/memcached-list-all-keys/ for the original article on how to get the data from memcache in the first place.

require 'net/telnet'

headings = %w(id expires bytes cache_key)
rows = []