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Enrico Rotundo enricorotundo

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enricorotundo / numbered_images.sh
Last active August 29, 2015 14:11 — forked from nkigen/numbered_images.sh
#!/bin/bash
#<nellyk89@gmail.com>
# http://dummyimage.com/600x400/000/fff&text=100000
BASE_URL="http://dummyimage.com/"
DEFAULT_SIZE="600X400"
DEFAULT_BG_COLOR="000"
DEFAULT_COLOR="fff"
START=1001
END=4000
@enricorotundo
enricorotundo / global.js
Created November 18, 2014 02:44
Protractor issue #1511
'use strict';
(function () {
var Global = function () {
// GETTER elements: navbar
/**
* @return {[ElementFinder]} [Returns the regisration button located in the navbar]
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enricorotundo / run_jupyterlab.sh
Created September 14, 2018 08:56
Run JupyterLab, token authentication off
#!/usr/bin/env bash
jupyter lab --ip=* --port=8888 --no-browser --notebook-dir=$HOME --allow-root --NotebookApp.token=''
@enricorotundo
enricorotundo / run_jupyterlab.sh
Created September 14, 2018 08:56
Run JupyterLab, token authentication off
#!/usr/bin/env bash
jupyter lab --ip=* --port=8888 --no-browser --notebook-dir=$HOME --allow-root --NotebookApp.token=''
@enricorotundo
enricorotundo / .condarc
Last active September 14, 2018 09:20
Conda configuration file to support automatic kernel discovery. Note: miniconda3 is default miniconda dir on macOS, edit that path according to your conda installation.
create_default_packages:
- pip
- ipykernel
- pyopenssl
envs_dirs:
- $HOME/miniconda3/envs
@enricorotundo
enricorotundo / install_jupyter_complete.sh
Last active September 14, 2018 09:25
Install JupyterLab with extensions and automatic kernel discovery
#!/usr/bin/env bash
# Setup conda config
wget https://gist.githubusercontent.com/enricorotundo/65218b399bc7bb1c749e2f5cfd571434/raw/e6dc4e80f7894c544b43621d849555233e484f91/.condarc
cp .condarc $HOME/.condarc
# Install Jupyter and JupyterLab
conda install -c conda-forge -y jupyter ipywidgets ipykernel jupyterlab
# Enable extensions
@enricorotundo
enricorotundo / export_inference_graph_unfrozen.py
Last active October 15, 2018 13:28
Export a checkpointed object_detection model for serving with TensorFlow Serving (works with Tensorflow 1.10)
"""
Run this with
cd research/object_detection
python export_inference_graph_unfrozen.py --input_type encoded_image_string_tensor --pipeline_config_path samples/configs/ssd_mobilenet_v1_coco.config --trained_checkpoint_prefix ssd_mobilenet_v1_coco_2017_11_17/model.ckpt --output_directory /Users/erotundo/HAL24K/Projects/dockerfiles-tf-serving/ssd_mobilenet_v1_coco/models
Make sure you add object_detection in PYTHONPATH
Credits to original gist by @dnlglsn:
https://gist.github.com/dnlglsn/c42fbe71b448a11cd72041c5fcc08092
References:
@enricorotundo
enricorotundo / pymongo_connect.py
Last active June 24, 2019 09:39
Pymongo connection with a pinch of flavour
import os
import urllib
from pymongo import MongoClient
def get_conn_string() -> str:
conn_string = "mongodb://{}:{}@{}/{}".format(
os.getenv("DB_USER"),
urllib.parse.quote(os.getenv("DB_PWD")), # escapes invalid chars
os.getenv("DB_URI"),
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enricorotundo / ec2.md
Created March 4, 2022 15:54
AWS EC2 notes 
alias ll='ls -alF'
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enricorotundo / foo_data.txt
Created July 21, 2022 14:02
foo txtt dataset
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.