Algoritmia

Algoritmia中文版而且上色成功后照片一样看是去非常真实，本站为大家提供的是Algoritmia安卓版，还额可以一键上色，这是一款非常好用的图片处理软件，有需要的朋友赶快下载吧。

Algoritmia安卓版相关信息

Photoshop当然可以把黑白照片改成彩色，但是要花费大量时间，更不要说那些毫无PS基础的人了。

Algoritmia特别说明

Algoritmia暂未上线，现提供同类型软件下载，敬请期待。

PicsArt9.2.3版本 直装版 评分:

Algoritmia手机版提供给大家，这是一款非常好用的黑白照片处理软件，专业将黑白照片转换成彩色照片，可以说非常好用了。本站为大家提供的是Algoritmia安卓版，有需要的朋友赶快下载吧。

Algoritmia暂未上线，现提供同类型软件下载，敬请期待。

PicsArt9.2.3版本 直装版 评分:

不会用ps？不会p照片？不想用美颜相机？那Algoritmia非常适合你，它是由加州大学的一个团队打造的软件，Algoritmia能照片变成彩色，更简单易用的处理照片。

Algoritmia自动生成的颜色可能并不是碟子的真实颜色，这时候你就可以在碟子上选取一个点，然后在左侧的编辑框选择最准确的颜色，Algoritmia就会即刻生成效果图，你还可以进一步调整，直到满意为止。

Algoritmia中文版应用功能：

可手动调色

可一键自动化上色

黑白照变彩色照非常逼真

可将任意黑白照片添加色彩

采用智能色彩识别调节技术

Algoritmia英文详情介绍：

Interactive Deep Colorization

[Project Page] [Paper] [Demo Video] [Seminar Talk]

Richard Zhang*, Jun-Yan Zhu*, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, and Alexei A. Efros. Real-Time User-Guided Image Colorization with Learned Deep Priors. In ACM Transactions on Graphics (SIGGRAPH 2017). (*indicates equal contribution)

We first describe the system (0) Prerequisities and steps for (1) Getting started. We then describe the interactive colorization demo (2) Interactive Colorization (Local Hints Network). There are two demos: (a) a "barebones" version in iPython notebook and (b) the full GUI we used in our paper. We then provide an example of the (3) Global Hints Network.

(0) Prerequisites

Linux or OSX

Caffe

CPU or NVIDIA GPU + CUDA CuDNN.

(1) Getting Started

Clone this repo:

Download the reference model

bash ./models/fetch_models.sh

Install Caffe and Python libraries (OpenCV)

(2) Interactive Colorization (Local Hints Network)

We provide a "barebones" demo in iPython notebook, which does not require QT. We also provide our full GUI demo.

2(a) Barebones Interactive Colorization Demo

Run ipython notebook and click on DemoInteractiveColorization.ipynb.

2(b) Full Demo GUI

Install Qt4 and QDarkStyle. (See [Requirements](## (A) Requirements))

Run the UI: python ideepcolor.py --gpu [GPU_ID]. Arguments are described below:

--win_size    [512] GUI window size --gpu         [0] GPU number --image_file  ['./test_imgs/mortar_pestle.jpg'] path to the image file

User interactions

Adding points: Left-click somewhere on the input pad

Moving points: Left-click and hold on a point on the input pad, drag to desired location, and let go

Changing colors: For currently selected point, choose a recommended color (middle-left) or choose a color on the ab color gamut (top-left)

Removing points: Right-click on a point on the input pad

Changing patch size: Mouse wheel changes the patch size from 1x1 to 9x9

Load image: Click the load image button and choose desired image

Restart: Click on the restart button. All points on the pad will be removed.

Save result: Click on the save button. This will save the resulting colorization in a directory where the image_file was, along with the user input ab values.

Quit: Click on the quit button.

(3) Global Hints Network

We include an example usage of our Global Hints Network, applied to global histogram transfer. We show its usage in an iPython notebook.

Add ./caffe_files to your PYTHONPATH

Run ipython notebook. Click on ./DemoGlobalHistogramTransfer.ipynb

(A) Requirements

Caffe (See Caffe installation document)

OpenCV

sudo apt-get install python-opencv

Qt4

sudo apt-get install python-qt4

QDarkStyle

sudo pip install qdarkstyle

(B) Cat Paper Collection

One of the authors objects to the inclusion of this list, due to an allergy. Another author objects on the basis that cats are silly creatures and this is a serious, scientific paper. However, if you love cats, and love reading cool graphics, vision, and learning papers, please check out the Cat Paper Collection: [Github] [Webpage]