Implement Image class

[Yoogeonhui]

To put image to a tensor, implementation of image class is needed

Basic Features

• Support some image types(jpg, png, gif, bmp)
• Load and save images
• Resizable and croppable
• Rotate, transform
• Convertable to tensor(or array)

Additional features

• Gaussian blur
• Noise
• Adjust hue, rgb etc...
• ETC...

[Ravenwater]

How does this design work together with video streams? One very important use case of a DL environment is object recognition and tracking, with our without optical flow.

Make certain that the image class works well together with video processing workloads.

[Yoogeonhui]

There'll be a video class which can return an image class per frame. And the video class will be implemented after this work is completed.

[Ravenwater]

Awesome.

What about optical flow-based video analysis? Do you know what is needed for that use case? I don't know, so asking in earnest.

[Yoogeonhui]

I'm not familiar with flow-based video analysis. I saw a dataset whose r, g and b represents x, y, z-axis movements respectively. But actually I don't know what is needed for that use case specifically.

[Ravenwater]

We should look into what the best practice is for optical flow. I believe that most insect visual systems are optical flow based, and I would think that this translates to DL for autonomous systems such as drones. It might be a separate cognitive system, so a fancy drone may have a 3D visual system for object recognition and tracking, and an optical flow DL system for control.

Let's make certain that CubbyDNN can support these use cases.

[utilForever]

We separate task that implements load images.

• @Yoogeonhui: Load bmp and gif file format
• @utilForever: Load png and jpg file format