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kaahne

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Hi Sargeros,

I actually started as an intern, knowing next to nothing when it came to Image Processing. If you are motivated and willing to learn, there might be something we can do. Send me your resume at jean [at] stupeflix.com.

To be honest, it is a plus, but not speaking french is not a definite show-stopper if you're the right person. Send us an email at job [at] stupeflix.com

Universal Fund 12 years ago

Just signed up.

I was wondering how you select which patient will receive the donation each month ? Optimise impact ? Try and top up a maximum number of patient funds ?

Nexus 6 12 years ago

If I scroll to the "Introducing Lollipop, our sweetest release yet" section, there's a google now card for a coffee place I've been to recently (in Portland, OR for that matter ...).

It's uncanny...

Quick aside to tell that this comparison video was generated a long time ago, when stabilized video were saved at a lower resolution. Since then, we've increased the output resolution and fixed some color correction issues.

Hey Ivanlubenko,

On the fly stabilization is not really an option, as smoothing is done by averaging movement from the past and future, up to 5s on both sides.

The API thing might be a good idea, shoot an email at steady@stupeflix.com!

Yes and no. Going through the paper real quick, we use similar technique, but do not analyze the video to reconstruct the movement of the camera, which allows us to speed up the algorithm significantly.

Thanks everyone for the input. Quick answer to most common questions :

* The video you can see on the landing page (steady.stupeflix.com) were all taken w/ Steady. Try using it outside on a sunny day for best results !

* Steady is not yet compatible with iOS8. Working on it ;)Same for iPad and iTouch.

* We use gyroscope informations to know the attitude of the iPhone while you shoot a video, and uses this information to correct the video.

* The app is not available yet on Android. We're pretty much tied to the iPhone right now, as the algorithm relies on a given gyro / camera pair to work.

If you like the app, a kind review on the App Store would be appreciated ! Thanks for taking the time to try it

From

Trueduke, Olotiar, Madlag, thomas 759 and Kaahne at Stupeflix

As one of the developer of this app, I'm obviously biased, but we think that we achieve even better results than Luma.

Low light is always an issue (due to intrinsic limitations of the stabilization method), but we added slo-motion and support for the iPhone 5s and iOS7.

Pretty fun game. I thought that greedy algorithm would not work with this problem, so I wrote a basic genetic algorithm to find a solution, refining it as I went.

Bit of overkill, but fun game overall !

Show HN: Speedsums 12 years ago

Cool little Game ! As a lot of people here, I threw together some JS to try and 'hack' the challenge. As mentioned by OP, this is "staggeringly" easy to do. Yet, I was wondering : How would you go around to preventing such a behavior ?

I would try obfuscating the problem a little bit :

* Display an image instead of a text (using canvas for quick drawing ? You'd have to create the images server side to really be sure)

* If you really want to display text, use a custom made font (Reverse-engineering the characters match would take a little time)

* Changing the elements id (#answer and #question) every question.

Any ideas ?

This is awesome ! I tried my hand at some chord recognition a few days ago : https://github.com/jcaille/Chords. I only compare chords to fingerprints I recorded, and do not extract pitch or anything. I'm looking for feedback or pointers on how to go further (mainly, discarding the fingerprints altogether)

Have you considered teaching chords and such ? Another cool feature would be to let people enter their own songs, or connect with a tab API to expand the library.

This is my first week-end project I cooked up in a few hours. It uses pyaudio to acquire sound from the microphone and numpy to FFT the signal. Matching is done by shortest distance from FFT to fingerprints of chords.

I'm looking for pointers on what to do next with this small project, especially how to improve the recognition.

Plus, if you spot any big trouble in the code, feel free to enlighten me. I'm still a junior Python programmer, and your feedback won't be lost.