kevinn1999

from detectron2.engine.hooks import HookBase
from detectron2.evaluation import inference_context
from detectron2.utils.logger import log_every_n_seconds
from detectron2.data import DatasetMapper, build_detection_test_loader
import detectron2.utils.comm as comm
import torch
import time
import datetime

class LossEvalHook(HookBase):

kevinn1999

#!/usr/bin/env bash

# # 
# # Install main dependencies on CentOS: 
# # Python 3.4.5, CMake 3.10.0, OpenCV 3.3.1
# # Author Andrii Lundiak (landike@gmail.com)
# # 

# https://github.com/ageitgey/face_recognition/issues/191
# https://github.com/opencv/opencv/issues/8471

kevinn1999

#!/bin/sh
yum -y update

yum -y install autoconf automake gcc gcc-c++ git libtool make nasm pkgconfig zlib-devel freetype-devel speex-devel ladspa-devel mercurial cmake

mkdir ~/ffmpeg_sources

#NASM
cd ~/ffmpeg_sources
curl -O -L http://www.nasm.us/pub/nasm/releasebuilds/2.14/nasm-2.14.tar.bz2

kevinn1999

#!/bin/sh
yum -y update

yum -y install autoconf automake gcc gcc-c++ git libtool make nasm pkgconfig zlib-devel freetype-devel speex-devel ladspa-devel mercurial cmake

mkdir ~/ffmpeg_sources

#NASM
cd ~/ffmpeg_sources
curl -O -L http://www.nasm.us/pub/nasm/releasebuilds/2.14/nasm-2.14.tar.bz2

kevinn1999

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'

kevinn1999

import socket

HOST = 'localhost'
PORT = 9876
ADDR = (HOST,PORT)
BUFSIZE = 4096
videofile = "videos/royalty-free_footage_wien_18_640x360.mp4"

bytes = open(videofile).read()

kevinn1999

import cv2
import io
import socket
import struct
import time
import pickle
import zlib

client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client_socket.connect(('192.168.1.124', 8485))