duarten

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.

In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit

gildor

import com.google.protobuf.gradle.protobuf
import com.google.protobuf.gradle.protoc

plugins {
    java
    idea
    id("com.google.protobuf") version "0.8.7"
}

repositories {

tarlen5

"""
author: Timothy C. Arlen
date: 28 Feb 2018

Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific
image Ids. Usage:

> python calculate_mean_ap.py

Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output

mjohnsullivan

// Updated example from http://rosettacode.org/wiki/Hello_world/Web_server#Rust
// to work with Rust 1.0 beta

use std::net::{TcpStream, TcpListener};
use std::io::{Read, Write};
use std::thread;


fn handle_read(mut stream: &TcpStream) {
    let mut buf = [0u8 ;4096];