Description: A lite human computer interaction system, mainly dependent on you 'handler' in your webcam.

Author: Peng Zheng.

Duration:

Progress	Start Date	Deadline
Building basic video flow frame skeleton, including controller tracking, controller tailing...	5/9/2018	5/9/2018
Appending top menu.	5/10/2018	5/10/2018
Inserting real time image_style_transfer mode.	5/10/2018	5/11/2018
Implementing clothes region extraction for styleTransfer.	5/11/2018	5/12/2018
Implementing formula evaluation: integerate my own dataset for training Lenet to do single character recognition, split the handwritten expression, then evaluate it.	5/13/2018	5/14/2018
Finishing sunglasses wearing mode.	5/14/2018	5/15/2018
Refining my documents and improving the stability.	5/13/2018	...
Development SumUp	5/10/2018	5/15/2018
Substitude 'grabCut' for 'formula_evaluation'	6/6/2018	6/6/2018
AR mode	6/7/2018	6/7/2018

OpenCV==4.0.0-pre	# With opencv-contrib
numpy==1.14.3
matplotlib==2.2.2
tensorflow-gpu==1.8.0    # CUDA=9, CUDNN=7

• Guide:

video mode setting: {
    "display": Random colors, While ink would fade, like tails,
    "styleTransfer": Stylize the whole input from webcam or only your clothes,
    "grabCut": Move you from the whole scene to a new video,
    "glass": Help you wear a pair of glasses,
    "AR": Build a roof on the plane you choose,
}

• Display mode:

  Algorithms: Nothing is worth mention. I hoped to use hands as the controllers so that I can use the gestures to do many things. However, my little thinkpad with a Geforce 940m GPU doesn't approve of my suggestion..., and I bumped into the final controller idea in Adrian Rosebrock's blog.

  

• StyleTransfer mode:

  Stylize image: Yes..., it's <<The Starry Night>> again(@...@)! Here she comes:

  

  Algorithm: Clarification by the team of my roommates

1. Whole input is stylized except my body:

   Algorithms: HSL Color Space, Basic Morphology operations, etc.

   

2. Only clothes stylized:

   Algorithms: Background Substraction (LSBP), HSL Color Space

   

• Simple Formula Evaluation(Removed):

  ​ Concerning my laptop thinkpad-t450 with i5-5200U and Geforce 940m... I used Lenet. to recognize each single character(coz this is only a very simple formula evaluation, I only took some basic operations into account.)

  The shuffled dataset consists of MNIST and handwrittenMathSymbol. BTW, if you're interested in recognizing a complex mathematic expression, take a look at the MathSymbol dataset, which is from a this kind of competition on Kaggle.

  1. The well-trained MobileNetV2:
  2. Then I just split the formula horizontally, just like what I did in the VehicleLicensePlateRecognition.
  3. Afterwards, recognize each single character.
  4. Finally, evaluate the stitched string.

• Figure Extraction:

  ​ Algorithm: grabCut.

  ​ Extension: Mask-RCNN

  

• Glass mode:

  Algorithms: Haarcascade.

  

• AR of building roof on a plane

  Modified from plane_ar sample in opencv

  Algorithms: 3d_calibration.

  

• Use Openpose to estimate my poseture, especially the hands.
• Modify the roof in AR mode into a more general object, such as an image or a video.
• Yet, above all, get a fairly good computer with a camera.