dermatologist

"""
Thiss script would convert a pre-trained TF model to a servable version for TF Serving.

A pre-trained model can be downloaded here
     https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo
     
Requirements:
   * A directory contains pretrained model (can be download above).
   * Edit three arguments `frozen_graph`, `model_name`, `base_dir` accordingly

dermatologist

Host NAT
  HostName 52.15.213.177
  ForwardAgent yes
  StrictHostKeyChecking ask
  IdentityFile "C:\Users\Zach Tankersley\.ssh\id_rsa.pem"
  User ec2-user

Host 10.0.1.12
  ProxyCommand  C:\Windows\System32\OpenSSH\ssh.exe -q -W %h:%p NAT
  ForwardAgent yes

dermatologist

#!/usr/bin/env python

# see http://socialdatablog.com/extract-pdf-annotations.html

myxkfolder="/home/steve/xk/" #you need to set this to where you want your to-dos to appear

import poppler, os.path, os, time, datetime

for root, dirs, files in os.walk('./'):
    for lpath in files:

dermatologist

#!/bin/bash
set -u

DOC_DIR=godoc
PKG=github.com/matrix-org/go-neb

# Run a godoc server which we will scrape. Clobber the GOPATH to include
# only our dependencies.
GOPATH=$(pwd):$(pwd)/vendor godoc -http=localhost:6060 &
DOC_PID=$!

dermatologist

# -*- coding: utf-8 -*-

"""From a Query.all(), turn this result to a pandas DataFrame

Table creation and example data come from the official SQLAlchemy ORM
tutorial at http://docs.sqlalchemy.org/en/latest/orm/tutorial.html

Just take a look at the 'query_to_dict' function and the last part of the __main__.
"""

dermatologist

Choose archetype:
1: remote -> br.gov.frameworkdemoiselle.archetypes:demoiselle-jsf-jpa (Archetype for web applications (JSF + JPA) using Demoiselle Framework)
2: remote -> br.gov.frameworkdemoiselle.archetypes:demoiselle-minimal (Basic archetype for generic applications using Demoiselle Framework)
3: remote -> co.ntier:spring-mvc-archetype (An extremely simple Spring MVC archetype, configured with NO XML.)
4: remote -> com.agilejava.docbkx:docbkx-quickstart-archetype (-)
5: remote -> com.alibaba.citrus.sample:archetype-webx-quickstart (-)
6: remote -> com.bsb.common.vaadin:com.bsb.common.vaadin.embed-simple-archetype (-)
7: remote -> com.bsb.common.vaadin:com.bsb.common.vaadin7.embed-simple-archetype (-)
8: remote -> com.cedarsoft.open.archetype:multi (-)
9: remote -> com.cedarsoft.open.archetype:simple (-)

dermatologist

Install Multiple Java Versions on macOS High Sierra

Install Homebrew Cask

On Mac, Homebrew is the de-facto package manager, and Homebrew Cask is the app manager. I’m going to use Cask to install Java 7 and 8.

You don't need to install cask anymore, you just need homebrew. Try using any cask command

Install Homebrew Cask first if you haven’t:

dermatologist

# Author: Peter Prettenhofer <peter.prettenhofer@gmail.com>
#         Lars Buitinck <L.J.Buitinck@uva.nl>
# License: Simplified BSD

from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_extraction.text import FeatureHasher
from sklearn.pipeline import Pipeline

dermatologist

const base64 = 'data:image/png;base65,....' // Place your base64 url here.
fetch(base64)
.then(res => res.blob())
.then(blob => {
  const fd = new FormData();
  const file = new File([blob], "filename.jpeg");
  fd.append('image', file)
  
 // Let's upload the file
 // Don't set contentType manually → https://github.com/github/fetch/issues/505#issuecomment-293064470

dermatologist

Public Gist

Create jupyter notebook in vscode

Python: create jupyter notebook

Github access tokens at https://github.com/settings/tokens

vuetify-jsonschema-form demo

• https://koumoul-dev.github.io/vuetify-jsonschema-form/latest/?example=basic