Updated GSoC_2019 (markdown)

Gary Bradski 2019-03-06 09:54:43 -08:00
parent 3c679c417c
commit 49f619406a

@ -423,24 +423,7 @@ https://github.com/anibali/dsntnn
* ***Skills Required:*** C++, Python, user interface experience
* ***Mentors:*** Vadim Pisarevsky
* ***Difficulty:*** Easy if you are well familiar with GUI, Medium if not.
```
### Template
1. ### <Descriptive Category such as "Deep Nets">
1. #### _IDEA:_ <Descriptive Title>
* ***Description:*** 3-7 sentences describing the task
* ***Expected Outcomes:***
* < Short bullet list describing what is to be accomplished >
* <i.e. create a new module called "bla bla">
* < Has method to accomplish X >
* <...>
* Resources
* [For example a paper citation](https://arxiv.org/pdf/1802.08091.pdf)
* [For example an existing feature request](https://github.com/opencv/opencv/issues/11013)
* [Possibly an existing related module](https://github.com/opencv/opencv_contrib/tree/master/modules/optflow) that includes some new optical flow algorithms.
* ***Skills Required:*** < for example: mastery plus experience coding in C++, college course work in vision that covers optical flow, python. Best if you have also worked with deep neural networks. >
* ***Mentors:*** < your name goes here >
* ***Difficulty:*** <Easy, Medium, Hard>
```
------------------
General Information:
@ -611,4 +594,23 @@ Student | Title | Mentor(s)
Gary Bradski
Vadim Pisarevsky
Shiqi Yu
```
## Mentors
```
### Template
1. ### <Descriptive Category such as "Deep Nets">
1. #### _IDEA:_ <Descriptive Title>
* ***Description:*** 3-7 sentences describing the task
* ***Expected Outcomes:***
* < Short bullet list describing what is to be accomplished >
* <i.e. create a new module called "bla bla">
* < Has method to accomplish X >
* <...>
* Resources
* [For example a paper citation](https://arxiv.org/pdf/1802.08091.pdf)
* [For example an existing feature request](https://github.com/opencv/opencv/issues/11013)
* [Possibly an existing related module](https://github.com/opencv/opencv_contrib/tree/master/modules/optflow) that includes some new optical flow algorithms.
* ***Skills Required:*** < for example: mastery plus experience coding in C++, college course work in vision that covers optical flow, python. Best if you have also worked with deep neural networks. >
* ***Mentors:*** < your name goes here >
* ***Difficulty:*** <Easy, Medium, Hard>
```