jinyu121

Backup a specific binary release version of V2Ray.

jinyu121

import json
import os

from tqdm import tqdm
from xmltodict import unparse

# BBOX_OFFSET: Switch between 0-based and 1-based bbox.
# The COCO dataset is in 0-based format, while the VOC dataset is 1-based.
# To keep 0-based, set it to 0. To convert to 1-based, set it to 1.
BBOX_OFFSET = 0

jinyu121

import cv2

cam = cv2.VideoCapture(0)
cam.set(3, 640)  # set video width
cam.set(4, 480)  # set video height

face_detector = cv2.CascadeClassifier('conf/haarcascade_frontalface_default.xml')

# For each person, enter one numeric face id
names_count = [x.strip() for x in open('conf/names.txt').readlines() if x.strip() != ""]

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

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

#!/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

A Dataset for yolo2-pytorch

Minimal code modify.

If you have any better code, please let me know~ THX!!!!!

Update

• [20180426] The original code
• [20180427] Simple multi thread

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

# -*- 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

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);