siddharth sedflix

The project was divided into two part:

Research: [GitHub repo for the same][6]
ImageJ PlugIn Development: [GitHub repo for the same][7]
- Documentation for the PlugIn can be found here

Note: Both the GitHub repositories are single purpose for GSoC

	<?xml version="1.0" encoding="UTF-8"?>
	<module type="WEB_MODULE" version="4">
	<component name="NewModuleRootManager">
	<content url="file://$MODULE_DIR$" />
	<orderEntry type="inheritedJdk" />
	<orderEntry type="sourceFolder" forTests="false" />
	</component>
	</module>

	<?php
	$host = '127.0.0.1';
	$db = 'messthing';
	$user = 'root';
	$pass = '';
	$charset = 'utf8';

	$dsn = "mysql:host=$host;dbname=$db;charset=$charset";
	$opt = [
	PDO::ATTR_ERRMODE => PDO::ERRMODE_EXCEPTION,

	<?xml version="1.0" encoding="UTF-8"?>
	<module type="WEB_MODULE" version="4">
	<component name="NewModuleRootManager">
	<content url="file://$MODULE_DIR$" />
	<orderEntry type="inheritedJdk" />
	<orderEntry type="sourceFolder" forTests="false" />
	<orderEntry type="module-library">
	<library name="PHP Runtime" type="php">
	<CLASSES>
	<root url="jar://$APPLICATION_HOME_DIR$/plugins/php/lib/php.jar!/stubs/standard" />

	#!/usr/bin/env python
	"""
	Pose predictions in Python.

	Caffe must be available on the Pythonpath for this to work. The methods can
	be imported and used directly, or the command line interface can be used. In
	the latter case, adjust the log-level to your needs. The maximum image size
	for one prediction can be adjusted with the variable _MAX_SIZE so that it
	still fits in GPU memory, all larger images are split in sufficiently small
	parts.

	<component name="CopyrightManager">
	<settings default="" />
	</component>

	from flask import Flask
	app = Flask(__name__)

	@app.route("/")
	def handle():
	return "Doesn't matter if the work's incomplete."

	if __name__ == "__main__":
	app.run()

	<?php

	// get latest german WordPress file
	$ch = curl_init();
	$source = "https://github.com/geekSiddharth/student-senate/archive/master.zip"; // THE FILE URL
	curl_setopt($ch, CURLOPT_URL, $source);
	curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
	$data = curl_exec ($ch);
	curl_close ($ch);