jinyu121

V2Ray Self Distribution Point

Environment

• PHP
• PHP-curl

Useage

• Download it and put it into any folder

jinyu121

# -*- coding: utf-8 -*-

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from argparse import ArgumentParser
from bs4 import BeautifulSoup
import os
import requests

jinyu121

void validate_detector_PRcurve(char *datacfg, char *cfgfile, char *weightfile)
{
    list *options = read_data_cfg(datacfg);
    char *valid_images = option_find_str(options, "valid", "data/voc.2007.test");

    network net = parse_network_cfg(cfgfile);
    if(weightfile){
        load_weights(&net, weightfile);
    }
    set_batch_network(&net, 1);

jinyu121

# -*- coding: utf-8 -*-

import time
import redis
import os
import cv2
from threading import Thread
import requests
from tqdm import tqdm
from bs4 import BeautifulSoup

jinyu121

from xmlrpc.client import Transport, GzipDecodedResponse
class CustomTransport(Transport):

    def parse_response(self, response):
        # Read response data from httpresponse, and parse it

        # Check for new http response object, else it is a file object
        if hasattr(response, 'getheader'):
            if response.getheader("Content-Encoding", "") == "gzip":
                stream = GzipDecodedResponse(response)

jinyu121

#!/bin/bash

TMUX_VERSION="2.1"
LIBEVENT_VERSION="2.0.20"
NCURSES_VERSION="6.0"

# Set this flag to prevent errors
export CPPFLAGS="-P"

# Script for installing tmux on systems where you don't have root access.

jinyu121

import torch
import torchvision
import torchvision.transforms as transforms
from torch.utils.data import DataLoader
import numpy as np
import os
from tqdm import tqdm, trange
from skimage.io import imsave
from easydict import EasyDict
from copy import deepcopy

jinyu121

import base64

server = "12.34.56.78"
port = "12345"
password = "Here is the password"
encrypt_method = "chacha20-ietf-poly1305"
s = "{}:{}".format(encrypt_method, password).encode()
print("ss://{}@{}:{}".format(base64.standard_b64encode(s).decode(), server, port))

jinyu121

TensorFlow 分类例子

数据准备

需要把用到的数据转换成 TfRecord 格式。这里以Flower数据集为例。

网络

这里使用 LeNet5 作为分类网络。

jinyu121

Backup a specific binary release version of V2Ray.