Hui Zhang zh794390558

Creating Input Frames from a Video

First create an image sequence from a video with:

ffmpeg -i path/to/video.mp4 -r 30 path/to/output/folder/%06d.png

Where -r specifies the frequency to save an image (in Hz, i.e. 30 == 30fps) and %06d.png creates a zero-padded filename with 6 zeros.

Next images must be scaled and cropped. For my original case, I need to generate new images based on 512x512 input images, so I will crop a greedy (720x720) square out of a 1280x720 video in the direct center and then scale to 512x512. mogrify, unlike convert, edits images in place without creating copies :)

Image-to-Image Translation with Conditional Adversarial Networks

Notes from arXiv:1611.07004v1 [cs.CV] 21 Nov 2016

Euclidean distance between predicted and ground truth pixels is not a good method of judging similarity because it yields blurry images.
GANs learn a loss function rather than using an existing one.
GANs learn a loss that tries to classify if the output image is real or fake, while simultaneously training a generative model to minimize this loss.
Conditional GANs (cGANs) learn a mapping from observed image x and random noise vector z to y: y = f(x, z)
The generator G is trained to produce outputs that cannot be distinguished from "real" images by an adversarially trained discrimintor, D which is trained to do as well as possible at detecting the generator's "fakes".
The discriminator D, learns to classify between real and synthesized pairs. The generator learns to fool the discriminator.
Unlike an unconditional GAN, both th

Ubuntu 16.04 安装英伟达（Nvidia）显卡驱动

配有英伟达显卡的主机，装完 Ubuntu 16.04 后出现闪屏现象，是由于没有安装显卡驱动。

显卡型号
NVIDIA Corporation GM204 [GeForce GTX 970]

注意：本文内容适用于 Tmux 2.3 及以上的版本，但是绝大部分的特性低版本也都适用，鼠标支持、VI 模式、插件管理在低版本可能会与本文不兼容。

Tmux 快捷键 & 速查表 & 简明教程

启动新会话：

tmux [new -s 会话名 -n 窗口名]

恢复会话：

Adventures in Python Core Dumping

After watching Bryan Cantrill's presentation on [Running Aground: Debugging Docker in Production][aground] I got all excited (and strangely nostalgic) about the possibility of core-dumping server-side Python apps whenever they go awry. This would theoretically allow me to fully inspect the state of the program at the point it exploded, rather than relying solely on the information of a stack trace.

	import datetime as dt

	import tensorflow as tf
	import tensorflow.contrib.slim as slim
	from tensorflow.contrib.slim.nets import resnet_v1
	import threading

	from PoseDataset import PoseDataset
	from TrainParams import TrainParams

	#coding=utf8
	import os

	import itchat
	from NetEaseMusicApi import interact_select_song
	# 第三方包通过该命令安装：pip install itchat, NetEaseMusicApi

	HELP_MSG = u'''\
	欢迎使用微信网易云音乐
	帮助：显示帮助

	BasedOnStyle: Webkit
	BreakBeforeBraces: Allman
	BreakConstructorInitializersBeforeComma: false
	ConstructorInitializerAllOnOneLineOrOnePerLine: true
	Cpp11BracedListStyle: true
	IndentCaseLabels: true
	MaxEmptyLinesToKeep: 2
	PointerBindsToType: false
	SpacesBeforeTrailingComments: 2
	Standard: Cpp11


	"""
	A Python dict implementation.
	"""

	import collections

	MINSIZE = 8
	PERTURB_SHIFT = 5
	dummy = "<dummy key>"

	raise ValueError("DEPRECATED/FROZEN - see https://github.com/kastnerkyle/tools for the latest")

	# License: BSD 3-clause
	# Authors: Kyle Kastner
	# Harvest, Cheaptrick, D4C, WORLD routines based on MATLAB code from M. Morise
	# http://ml.cs.yamanashi.ac.jp/world/english/
	# MGC code based on r9y9 (Ryuichi Yamamoto) MelGeneralizedCepstrums.jl
	# Pieces also adapted from SPTK
	from __future__ import division
	import numpy as np