DZESU’s gists

DZESU / reactive_refresh_indicator.dart

Created February 17, 2021 02:21 — forked from kentcb/reactive_refresh_indicator.dart

A better RefreshIndicator for flutter

	// Copyright 2014 The Chromium Authors. All rights reserved.

	// Redistribution and use in source and binary forms, with or without
	// modification, are permitted provided that the following conditions are
	// met:

	// * Redistributions of source code must retain the above copyright
	// notice, this list of conditions and the following disclaimer.
	// * Redistributions in binary form must reproduce the above
	// copyright notice, this list of conditions and the following

DZESU / lazy_list.dart

Created February 17, 2021 02:19 — forked from pskink/lazy_list.dart

	import 'dart:async';
	import 'dart:math';

	import 'package:flutter/material.dart';
	import 'package:flutter/widgets.dart';
	import 'package:quiver/cache.dart';
	import 'package:quiver/collection.dart';

	/*
	class LazyList extends StatefulWidget {

DZESU / flutter_preloading_image_builder.dart

Created February 17, 2021 02:14 — forked from fedotxxl/flutter_preloading_image_builder.dart

	import 'package:flutter/widgets.dart';

	class PreloadingImageBuilder extends StatefulWidget {
	final ImageProvider imageProvider;
	final AsyncWidgetBuilder<dynamic> builder;

	PreloadingImageBuilder({this.imageProvider, this.builder});

	@override
	_PreloadingImageBuilderState createState() => _PreloadingImageBuilderState();

DZESU / icon_gradient.dart

Created February 17, 2021 02:13 — forked from mjohnsullivan/icon_gradient.dart

Apply a color gradient to an icon in Flutter

	import 'package:flutter/material.dart';

	void main() => runApp(MyApp());

	class MyApp extends StatelessWidget {
	@override
	Widget build(BuildContext context) {
	return MaterialApp(
	home: Scaffold(
	body: Center(

DZESU / flutter_github_ci.yml

Created February 17, 2021 02:09 — forked from rodydavis/flutter_github_ci.yml

Flutter Github Actions Build and Deploy Web to Firebase Hosting, iOS to Testflight, Android to Google Play (fastlane)

DZESU / wine_matcher.py

Created September 5, 2019 08:29

	# Need to draw only good matches, so create a mask
	matches_mask = [[0, 0] for i in range(len(flann_matches))]

	# ratio test as per Lowe's paper
	good = []
	for index in range(len(flann_matches)):
	if len(flann_matches[index]) == 2:
	m, n = flann_matches[index]
	if m.distance < 0.8 * n.distance: # 0.8 is threshold of ratio testing
	matches_mask[index] = [1, 0]

DZESU / wine_matcher.py

Created September 5, 2019 08:28

	# FLANN parameters
	flann_index_lsh = 6
	index_params = dict(algorithm=flann_index_lsh,
	table_number=12,
	key_size=20,
	multi_probe_level=2)
	search_params = dict(checks=100) # or pass empty dictionary

	# create FLANN
	flann = cv2.FlannBasedMatcher(index_params, search_params)

DZESU / wine_matcher.py

Created September 5, 2019 08:28

	# draw key point on image
	result_image_train = cv2.drawKeypoints(image_train, kp_logo, None, flags=0)
	result_image_query = cv2.drawKeypoints(image_query, kp_img, None, flags=0)
	cv2.imshow("train image",result_image_train)
	cv2.imshow("query image",result_image_query)
	cv2.waitKey(0)

DZESU / wine_matcher.py

Last active September 6, 2019 03:16

	# create ORB dectector
	orb = cv2.ORB_create(nfeatures=2000) # default features is 500

	# loop into all train images.
	for image_train in train_image_list:
	# find key point and descriptor
	kp_logo, des_logo = orb.detectAndCompute(image_train, None)
	kp_img, des_img = orb.detectAndCompute(image_query, None)

DZESU / wine_matcher.py

Created September 5, 2019 08:26

	def load_all_image_from_path(path):
	image_list = []
	for filename in glob.glob(path):
	# load image in gray scale
	im = cv2.imread(filename, cv2.IMREAD_GRAYSCALE)
	image_list.append(im)
	return image_list