On Wed, Feb 20, 2019 at 06:35:22PM +0800, 孟学苇 wrote: > Hi Dev-Community, > > > > > I am Iris Meng from China. I’m a PhD student in Institute of Digital Media, > Peking University. I wish to contribute as a GSoC applicant this year. > > I am interested in Deep Learning. I want to add a derain filter in ffmpeg. If > you have any suggestion or question, we can contact by email. My motivation > and plans are as follows. > > > > > Motivation > > Rain and fog are very common weather in actual life. However, it can affect > the visibility. Especially in heavy rain, rain streaks from various > directions accumulate and make the background scene misty, which will > seriously influence the accuracy of many computer vision systems, including > video surveillance, object detection and tracking in autonomous driving, etc. > Therefore, it is an important task to remove the rain and fog, and recover > the background from rain images. It can be used for image and video > processing to make them clearer and it can be a preprocessing method for many > computer vision systems. > > > > > Proposed Idea > > We propose to implement this technology in ffmpeg. For video [1][2], we can > utilize the relationship between frames to remove rain and fog. For single > image [3], we can use traditional methods, such as discriminative sparse > coding, low rank representation and the Gaussian mixture model. We can also > use some deep learning methods. We should investigate these methods, and > ultimately consider the effect of rain/fog removal and the complexity of the > algorithm, and choose the optimal scheme. > > > > > Practical application > > The derain and dehaze method can improve the subjective quality of videos and > images. > > > > > Development plan >
> I would like to start working on my qualification task and try to solve my > problems. Overall, I will follow the following steps to complete the project. > > (1) Literature and algorithm investigation > > (2) Data sets preparation > > (3) Coding: Implement network, training code, inference code and so on > > (4) Select the best method and transplantation it into ffmpeg I would suggest to do the coding within FFmpeg from as early as possible, not to implement things outside and transplant later. This should be less work and avoids underestimating the work to transplant the code [...] -- Michael GnuPG fingerprint: 9FF2128B147EF6730BADF133611EC787040B0FAB If you think the mosad wants you dead since a long time then you are either wrong or dead since a long time.
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