Home Web Front-end PS Tutorial Recommended articles about magnetic description

Recommended articles about magnetic description

Jun 13, 2017 pm 01:41 PM

Those who frequently use Photoshop should be familiar with the Magnetic Lasso function, which is a human-guided cutout auxiliary tool. It is generally not called this in the R&D field. This edge extraction method is usually called Intelligent Scissors or Livewire. It was originally a Python framework for algorithm evaluation of an image segmentation project. I thought it was a bit interesting, so I expanded it a little, added a shell with PyQt, and simulated the magnetic lasso function to a very crude extent. Why is it rude: 1) Only the most basic edge search is achieved. There is no path cooling, dynamic training, mouse position correction, let alone curve closing, cutout, Alpha Matting, etc.; 2) No performance specifications are considered, just for the convenience of writing; 3) I have a very shallow understanding of Qt, and I still can’t write Signal-Slot, I don't know if the GUI is written reasonable; 4) No debugging. I did not conduct a deep research on the basic algorithm related algorithms, but I believe that the most loud algorithm in this type of application is from [1], which is also the main reference of this article. The basic idea is to see the picture as an unproof diagram. Advanced

1. Photoshop A humble implementation (based on python)

Recommended articles about magnetic description

##Introduction: People who often use Photoshop should be familiar with the Magnetic Lasso function, which is a human-guided cutout auxiliary tool. It is generally not called this in the R&D field. This edge extraction method is usually called Intelligent Scissors or Livewire.

# 2.

actual combat Python realizes BT seed conversion to magnetic link

# This Recommended articles about magnetic description: Friends who watch movies are definitely no stranger to BT seeds, but the storage of BT seed files is inconvenient to store, and it is easy to cause copyright disputes on the website. The risk is less.

3.

: Python realizes BT seeds to be transformed into magnetic links #4.

Thinkphp 3.2 Words of Words and Weighted Search

Recommended articles about magnetic description# This

Introduction: Thinkphp 3.2 Chinese word segmentation weighted search Original address: http://www.cnblogs.com/kekukele/p/4544349.html Some time ago, I used my spare time to build a magnetic search website Btdog. Simple Chinese word segmentation and weighted search are used, which are shared here for your reference. In my website, the Chinese segmentation uses the SCWS segmentation system. This word segmentation system provides two types of PHP use

## 5.

Use Python to implement BT seeds and magnetic links. Conversion

Introduction: This article mainly introduces the method of using Python to realize the mutual conversion of BT seeds and magnet links. Sometimes, for example, Thunder cannot load magnet links or cannot upload attachments for sharing. It can be used when needed. Friends who need it can refer to

6.

ansys skill summary

Introduction: ansys low frequency Questions and Answers of FAQ: Q: Generally, after the results of a simple low -frequency electromagnetic field calculation, the distribution of 2D magnetic flux density curves is inconsistent with theoretical distribution? A: First of all, please check whether the material attributes of each part are consistent, most likely to be replaced by the high -conducting materials of the high -guide magnetic coefficient. Secondly, please see if the boundary conditions for parallel magnetic field lines are

7.

Magnetic link package download

Introduction: Magnetic Links Packing

[Recommended Recommendations]:

- -How to judge the North and South direction through the magnetic meter

#python - DHT crawler can only obtain a fixed number of ip numbers each time

android - The Android version of the magnetic link cloud broadcast app made by Boring, let’s take a look at what is needed improved

## javascript -Android to get the question of AJAX content in the webpage #

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