vict0rsch

# From my blog post: http://vict0rsch.github.io/2018/06/06/tensorflow-streaming-multilabel-f1/
import tensorflow as tf
import numpy as np

from tensorflow.python.ops import variable_scope
from tensorflow.python.ops import array_ops
from tensorflow.python.framework import ops
from sklearn.metrics import f1_score

echolijinghui

"""
 " Description: TensorFlow ExpandNet for HDR image reconstruction.
 " Author: LiJinghui
 " Date: March 2018
"""
from __future__ import division
import numpy as np
import cv2
import os, random, glob
import tensorflow as tf

mangecoeur

from sklearn.utils import check_X_y
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics.cluster.unsupervised import check_number_of_labels

from numba import jit

@jit(nogil=True, parallel=True)
def euclidean_distances_numba(X, Y=None, Y_norm_squared=None):
    # disable checks
    XX_ = (X * X).sum(axis=1)

t-io

from selenium import webdriver
import sys, getopt, time, subprocess, shlex
from xvfbwrapper import Xvfb


def run():
    print('Sreencast website animation')
    xvfb = Xvfb(width=1280, height=720, colordepth=24)
    xvfb.start()

k06a

# Installing ffmpeg with H265 support
brew tap varenc/ffmpeg
brew install varenc/ffmpeg/ffmpeg --with-fdk-aac --HEAD

# Installing mp4edit tool
brew install bento4

damienpontifex

import argparse
import psutil
import tensorflow as tf
from typing import Dict, Any, Callable, Tuple

## Data Input Function
def data_input_fn(data_param,
                  batch_size:int=None,
                  shuffle=False) -> Callable[[], Tuple]:
    """Return the input function to get the test data.

damienpontifex

# Run interactive python tensorflow container
docker run --rm -it --name py-tf --entrypoint python tensorflow/tensorflow:1.3.0-py3

# Run jupyter notebook container
docker run --rm -dit -p 8888:8888 -p 6006:6006 -v "${PWD}":/notebooks --name notebook tensorflow/tensorflow:1.3.0-py3

# Run on ubuntu server with GPU and have it run on startup
nvidia-docker run -dit \
  -p 8888:8888 -p 6006:6006 \
  -v /home/nbs:/notebooks \

ilblackdragon

import logging

import numpy as np
import tensorflow as tf
from tensorflow.contrib import layers


GO_TOKEN = 0
END_TOKEN = 1
UNK_TOKEN = 2

mmellison

import asyncio
from concurrent import futures
import functools
import inspect
import threading

from grpc import _server

def _loop_mgr(loop: asyncio.AbstractEventLoop):

hiwonjoon

import subprocess
import datetime
import numpy as np

THREAD_NUM=4

def get_video_info(fileloc) :
    command = ['ffprobe',
               '-v', 'fatal',
               '-show_entries', 'stream=width,height,r_frame_rate,duration',