So, here's the situation. I have direct access to two devices, and can take as many pictures as I want with each. Both devices are the same make and model, and do not save any metadata that would distinguish one from the other. This means that they do not leave any specific identifiers in the metadata. I also have a picture that I know came from one of them, but I don't know which. Let's call this photo "photoX". Both devices are the iPhone SE.
So here is the question: is there anything I can do with the two cameras and the pictures I can take with them to figure out which one photoX was taken from?
(Apparently I have to stress this, but metadata searching will not be able to work. I am aware of this.)
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I am mid-way through my university project, and I have run into an issue. I have a long list of around 1000 proteins that I wanted to analyse in STRING, however, my list is too large. I decided to try and utilise Cytoscape (and downloaded the stringApp), but the networks generated are still very messy. I've attached a screenshot here. Is there any way to improve the presentation of the network by downloading any Cytoscape apps or by tweaking the settings?
Thanks in advance
Well, the short answer is "no". A slightly longer answer is "it depends".
Showing a hairball really isn't helpful, usually, so you need to refine things somewhat. What is your data source (i.e. where did the 1000 proteins come from)? What do you hope to see in the network? If you are looking for particular groups of proteins (e.g. complexes), you would probably want to use MCL to cluster them first. If you have some other data you want to map, such as transcriptomic or proteomic data, you could refine your network based on fold change or abundance values.
All that being said, somethings you might try. First, you are seeing the "fast" version of the network. Try clicking on the show graphics details button (the diamond in the network view tool bar). That will give you the full graphics details. Second, you might try spreading the network out a bit by using the Layout->Layout Tools. Turn off the "Selected Only" and then adjust the scale. Finally, depending on your biological question, you might want to eliminate proteins that are only present in the nucleus or cytoplasm, or are only in lung tissue. This is all possible using the sliders provided by the stringApp's Results Panel.
-- scooter
I have started a social networking app and there is one user who won't stop uploading images of woman, who, well, are up to some sexual activities. He additionally adds offensive captions to them.
My question: how can I detect adult content in images and text and block them from my app? I think this is a problem that most people face who are making any kind of open networking app. It would be great if the solution was as fast and low-priced as possible.
Implement a system which essentially stores {256-sha image hash, human rating, computer rating} into a database.
Create an interface for the human rating and the computer rating which can judge and categorize images as well as an interface in your software which can use that information on how to handle such images.
Choose a tool, likely a convolutional neural network based algorithm, with an easy to use api. Here's a random result from searching: https://imagga.com/solutions/adult-content-moderation.html
Put everything together and you should have a system which can automatically guess how to handle images, but also allows you to iterate through them which both corrects the database as well as trains the rating algorithm which trains based on the existing human produced data.
Note: The status of an image is not permanent by the software unless a human rates it. Whenever one is accessed, the latest state of the image detection decides on it. If this happens far too frequently to support, then associate a time buffer with the image so that it doesn't re-rate it often.
Update: The advantages of this custom solution is that you can control things to work the way you want. You can define the rating system and how to handle the situation as well as governance over whatever set of trained algorithms you are using. You always have the final say and you can see what is going on at all times. The catch is that you would need to implement this software as an extension to your project.
Not easily, it would require machine learning techniques and a ton of training. Not to mention, all modern techniques can easily be tricked.
There are a few moderation solutions, but they aren't ideal.
First, you could ban them. Not the best, as they could make another account, but it means that they have to make another email for it.
Second, you could isolate him. I forget exactly how it works, but the idea is that they still think that they are posting on your app, but none of their content gets propagated to other people.
I don't know the legality of either of these, its all up to your terms and conditions. But AI is not really a good option, especially if your app were to need to scale.
I know how to find connected components efficiently. I am looking for the best way to find if a binary image that contains a single component still contains only one component. Inbetween there are losses of one or two pixels.
I have heard of edge-based approches and I think something like that might be good, but I can't find anything about them on the internet except that they are inferior to other approaches in labeling connected components.
If you know anything related to this, please post a link.
I have question which i wanna discuss with u. i am a fresh gradutate and just got a job as IT programmer. my company is making a game, the images or graphics use inside the game have one folder but different files of images. They give me task that how we can convert different files of images into one file and the program still access that file. If u have any kind of idea share with me ..Thanks
I'm not really sure what the advantage of this approach is for a game that runs on the desktop, but if you've already carefully considered that and decided that having a single file is important, then it's certainly possible to do so.
Since the question, as Oded points out, shows very little research or otherwise effort on your part, I won't provide a complete solution. And even if I wanted to do so, I'm not sure I could because you don't give us any information on what programming language and UI framework you're using. Visual Studio 2010 supports a lot of different ones.
Anyway, the trick involves creating a sprite. This is a fairly common technique for web design, where it actually is helpful to reduce load times by using only a single image, and you can find plenty of explanation and examples by searching the web. For example, here.
Basically, what you do is make one large image that contains all of your smaller images, offset from each other by a certain number of pixels. Then, you load that single large image and access the individual images by specifying the offset coordinates of each image.
I do not, however, recommend doing as Jan recommends and compressing the image directory (into a ZIP file or any other format), because then you'll just have to pay the cost of uncompressing it each time you want to use one of the images. That also buys you extremely little; disk storage is cheap nowadays.
I have 6 server with a aggregated storage capacity of 175TB all hosting different sorts of media. A lot of the media is double and copies stored in different formats so what I need is a library or something I can use to read the tags in the media and decided if it is the best copy available. For example some of my media is japanese content in which I have DVD and now blu ray rips of said content. This content sometimes has "Hardsubs" ie, subtitles that are encoded into the video and "Softsubs which are subtitles that are rendered on top of the raw video when it plays/ I would like to be able to find all copies of that rip and compare them by resolution and wether or not they have soft subs and which audio format and quality.
Therefore, can anyone suggest a library I can incorporate into my program to do this?
EDIT: I forgot to mention, the distribution server mounts the other servers as drives and is running windows server so I will probably code the solution in C#. And all the media is for my own legal use I have so many copies because some of the stuff is in other format for other players. For example I have some of my blu rays re-encoded to xvid for my xbox since it can't play Blu ray.
When this is done, I plan to open source the code since there doesn't seem to be anything like this already and I'm sure it can help someone else.
I don't know of any libraries, but as I try to think about how I'd progmatically approach it, I come up with this:
It is the keyframes that are most likely to be comparable. Keyframes occur regularly, but more importantly keyframes occur during massive scene changes. These massive changes will be common across many different formats, and those frames can be compared as still images. You may more easily find a still image comparison library.
Of course, you'll still have to find something to read all the different formats, but it's a start and a fun exercise to think about, even if the coding time involved is far beyond my one-person threshold.