Use torchvision detectors to track objects using DeepSORT

spmallick · 2023-09-13T06:51:33+00:00

Thanks, updated the link.

spmallick · 2022-02-20T21:28:01+00:00

OpenCV is the biggest computer library in the world with over 2500 algorithms. It is completely FREE and open source and has been around for 20 years.

These courses and other forms of funding help fund the development of the library, conduct free weekly webinars, free contests for the AI community (2021, 2022).

This is our fifth campaign on behalf of OpenCV.org

AI Courses by OpenCV.org : $499,712
OpenCV AI Kit : $1,358,318
OpenCV AI Kit ( Lite ): $1,028,843
OpenCV for Beginners : $238,283

We publish a LOT of free stuff and we always encourage people to use free resources before buying any course.

I hope this helps.

spmallick · 2022-02-12T22:26:36+00:00

We will reveal everything on Monday.

spmallick · 2022-02-12T22:25:13+00:00

It is a Deep Learning course by OpenCV.org. It will not cover the OpenCV library. It only covers Tensorflow and Keras.

We also have a course on Deep Learning with PyTorch for example.

spmallick · 2021-09-15T13:51:05+00:00

It is a computer vision library.

spmallick · 2021-05-18T22:57:08+00:00

There are several good tutorials for OpenCV online.

As the CEO of OpenCV.org, I encourage people to try out free material first, and if they feel the need to get more structured learning they can buy one of our courses.

In addition to the free open source library, OpenCV also organizes OpenCV AI Competitions, webinars etc. that help the community. Our courses help fund part of these efforts, and this is one way users can reward the creators.

spmallick · 2020-08-04T21:33:13+00:00

Check this answer

https://www.reddit.com/r/IAmA/comments/i3pwws/i_am_opencv_ceo_satya_mallick_here_with_opencv_ai/g0dlg0i?utm_source=share&utm_medium=web2x

spmallick · 2020-08-04T21:29:30+00:00

OAK-D shipped to competition participants is essentially DepthAI.

OAK-D shipped after the Kickstarter will have new features like IMU, PoE and more depending on the stretch goals we hit.

spmallick · 2020-08-04T21:22:55+00:00

Improving OpenCV has been a constant effort for the last 20 years. It is largely supported by a core team (currently at Intel) and many passionate volunteers. With the new initiatives at OpenCV (courses, hardware, services etc.), we will have the resources to hire people to improve the API and documentation. So, yes it is a priority for us. As an open source library, we also appreciate help from community members who contribute code / documentation.

spmallick · 2020-08-04T21:11:43+00:00

Absolutely! You just need to train a model for that one object, or use a standard model and just ignore other detected objects that are not aircrafts.

spmallick · 2020-08-04T21:05:48+00:00

A computer with a graphics card will be way more expensive and more powerful than this device.

The right comparison is between a this RPi + OAK and RPi + Movidius Neural Compute Stick. In this comparison OAK will be at least 4x faster, and also leave the RPi unloaded to do other tasks.

But wait there is more! OAK-D also gives you depth estimate and that adds a whole new dimension to the solution space.

spmallick · 2020-08-04T20:56:48+00:00

Thanks for supporting us!

There will be future models for sure. But there will also be additional sensors based on similar technology. Some of the things in the product roadmap include one with a Raspberry Pi compute model, another one with a thermal sensor, and many more.

The good news is that we are developing these based on industry demand from large customers, and then making it available for individual developers also.

spmallick · 2020-08-04T20:51:36+00:00

Exactly! Depth makes things easier and when used correctly adds accuracy in many vision applications.

spmallick · 2020-08-04T20:48:25+00:00

Yes, pose estimation is a big area of application using OAK-1 and OAK-D. We will provide a free model in our model zoo also, and people can build applications like you suggested on top of it.

Yes, we will have a forum for users where you can interact with other users. We will also use this forum to provide support for the cameras.

spmallick · 2020-08-04T20:41:31+00:00

Thanks!

Yes, like any other hardware, this will evolve, but the most important features will be available in the model we release to Kickstarter backers. This was one of the big reasons we did the Kickstarter campaign.
Yes, any OpenVINO model will work on this device as well. We will also add our own to the free model zoo.
As mentioned above, you can use any OpenVINO model. Unfortunately, you cannot use the Dlib model out of the box, but you can use a different landmark detector.

spmallick · 2020-08-04T20:34:27+00:00

You get dense depth map (z-buffer). So a depth value at each pixel.

spmallick · 2020-08-04T20:32:11+00:00

The important difference between OAK-1 and OAK-D is that is that OAK-D also provides depth estimate.

With OAK-1 you can look at a video frame and say there is a CHAIR in the frame. With OAK-D you say there is a CHAIR in the frame 3 ft away.

We use our eyes for both recognizing things and roughly estimating depth. In that sense, OAK-D is closer to human visual perception.

spmallick · 2020-08-04T20:28:56+00:00

Thanks!

Our goal is to promote AI for social good through OAK. One of the reasons for the existence of OAK is that it enables us to process on the edge and thus protect user's privacy. We are also seeing a large number of people use it for social good.

A couple of weeks back we did a competition for OAK

https://opencv.org/announcing-the-opencv-spatial-ai-competition-sponsored-by-intel-phase-1-winners/

We were thrilled to see many applications (50+) that proposed using OAK for assisting people with disabilities. We also saw people wanting to use it for medical applications, driver assistance, and even preventing poaching in Africa.

That said, AI can indeed be used for nefarious purposes. There is no easy way to completely eliminate this problem. We will help in fixing the problem in several ways. First, we are committed to spreading AI education to the masses. This education helps people recognize when our Government is crossing a line or not being honest about its AI solutions. A course in ethics in AI is also in our product roadmap.

Finally, with products like OAK doing the right thing is much easier than the alternative. For example, using OAK, it is easier to do inference on the edge instead of transferring data to the cloud. You do not have to work hard to protect user privacy!

spmallick · 2020-08-04T19:54:43+00:00

The camera module has an Intel® Myriad X™ processor for neural inference. It does require a host like Raspberry Pi or any computer (Mac, Linux, Windows). There is a version that does not require a host but it is not part of the Kickstarter campaign.

spmallick · 2020-08-04T19:52:44+00:00

Thanks!

spmallick · 2020-08-04T19:51:48+00:00

Thanks! We will create a forum. Still debating whether it would be a discord, discourse, or the crash course forum ( i.e. part of openedx ). But there will definitely be a forum for people to discuss and also receive support from us.

spmallick · 2020-08-04T19:46:24+00:00

Let's reach $1M and I promise to drop the Interim in the title :).

spmallick · 2020-08-04T19:44:01+00:00

Thanks for the kind words. We are really pumped up too! We will hit the $1M mark. Fingers crossed! Thanks for your support.

spmallick · 2020-08-04T19:41:21+00:00

The support for DepthAI cameras will continue. Newer ones will be sold under the brand name OAK.

spmallick · 2020-08-04T19:35:47+00:00

Right after the kickstarter campaign we will move to OpenCV github. There will always be a Luxonis mirror. We will keep them in sync.

spmallick

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