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from __future__ import print_function | |
import requests | |
import json | |
import cv2 | |
addr = 'http://localhost:5000' | |
test_url = addr + '/api/test' | |
# prepare headers for http request | |
content_type = 'image/jpeg' |
import torch | |
import torch.nn as nn | |
from torch.nn import functional as F | |
from torch.autograd import Variable | |
from torch import optim | |
import numpy as np | |
import math, random | |
# Generating a noisy multi-sin wave |
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- delete current windowThis Blog is all about memory management in Android. It provides information about how you can analyze & reduce memory usage while developing an Android app.
Memory management is a complex field of computer science and there are many techniques being developed to make it more efficient. This guide is designed to introduce you to some of the basic memory management issues that programmers face.
Android is a Linux based operating system. It uses native open source C libraries which power Linux machines. All the basic operating system operations like I/O, memory management and so on are handled by the Linux kernel. Like Java and .NET, Android uses its own run time and virtual machine to manage application memory. Unlike either of these frameworks, the Android run time also manages the lifetime processes. Each Android application runs in a separate process within its own Dalvik instance, relinquishing all responsibility for memo
[Android Transition Framework][transition-framework] can be used for three main things:
The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Wed, 21 Sep 2022 till Thu, 21 Sep 2023.
Only first 1000 GitHub users according to the count of followers are taken. This is because of limitations of GitHub search. Sorting algo in pseudocode:
githubUsers
.filter(user => user.followers > 1000)