matteocrippa

Flutter

A quick cheatsheet of useful snippet for Flutter

Widget

A widget is the basic type of controller in Flutter Material. There are two type of basic Widget we can extend our classes: StatefulWidget or StatelessWidget.

Stateful

StatefulWidget are all the widget that interally have a dynamic value that can change during usage. It can receive an input value in the constructor or reference to functions. You need to create two classes like:

ttimasdf

Inspired from: https://github.com/vigente/gerardus/wiki/Integrate-git-diffs-with-word-docx-files

Usage:

cd /path/to/your/repo/with/docx

sh -c "$(curl -fsSL https://gist.githubusercontent.com/ttimasdf/7965baab972b901c1f8349ce5fcb5e09/raw/setup-git-hook.sh)"

Done!

ozancaglayan

# -*- coding: utf-8 -*-
#
# author: Ozan Caglayan


from collections import OrderedDict

import torch
from torchvision import models
from torchvision.models.vgg import cfg as vgg_cfg

althonos

# https://gist.github.com/althonos/6914b896789d3f2078d1e6237642c35c

[metadata]
name = {name}
version = file: {name}/_version.txt
author = Martin Larralde
author_email = martin.larralde@embl.de
url = https://github.com/althonos/{name}
description = {description}
long_description = file: README.md

AshikNesin

const base64 = 'data:image/png;base64,....' // 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

eddiewebb

Client side searching for Hugo.io with Fuse.js

• WHY
• Sample
• Setup
• Files
  • content/search.md
  • layouts/_default/search.html
  • static/js/search.js

• layouts/_default/index.json

epustobaev

package com.example.controllers.dashboard;

import org.springframework.security.jwt.Jwt;
import org.springframework.security.jwt.JwtHelper;
import org.springframework.security.jwt.crypto.sign.MacSigner;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

@RestController

datlife

"""
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

thurt

package main

import(
        "log"
        "net/url"
        "net/http"
        "net/http/httputil"
)

func main() {

markdtw

"""This file extracts faster-rcnn features and bounding box coordinates"""
import pdb
import argparse

import numpy as np
import tensorflow as tf
import PIL.Image as PILI

def session(sess, feat_conv, feat_avg, boxes, classes, scores, image_tensor, image):
    feat_conv_out, feat_avg_out, boxes_out, classes_out, scores_out = sess.run([