Neural Compute Stick 2 by Intel Review

I've spent hours getting this to work on my pi4gb. It doesn't have to have the car model. So you can plug it in, download a file, run it, and know you've got it installed. exacerbates the lack of feedback as to whether it is operational. I will buy a competitor's product instead of figuring out how to use it. When trying to install drivers I went to Parrell Studio xe. idk whether it's necessary or not because the site is obscure and useless. If it doesn't have the software to just use it, it's…

I've had it for a little over a week and have been able to convert a custom TensorFlow model into their framework, but can ONLY use it in my demo programs. All in all, I'm more than disappointed because I'm Intel. Some of the requirements they make are just not acceptable if you plan to use your machine for anything other than these products. Special versions of OpenCV (without using environments!) I was able to get pre-configured "examples" of these, which are binaries, so there's no point in…

For example, if you're thinking about implementing a neural network for image recognition, this little USB-3 device is on your life path. I installed it on a Windows 10 and Ubuntu 18.04 system with no problems. Intel provides detailed instructions on how to set up a whole range of demos that will get you interested in NN. If you are more serious, you can use multiple instances of this device to propagate NN to more nodes. It also works on Raspberry Pi 4 but I haven't had a chance to try it yet.

I've achieved over 10x performance improvement (with full YOLOv3) in Python on a Raspberry Pi 3B+. It now analyzes sending security images on 24/7 motion detection (the CNN forward pass for full YOLOv3 is 548ms, add some CPU overhead to handle bounding boxes, etc.). I ordered a second one for a similar task on Pi 4.

I love this weird iron. I've had no trouble running the openvino demos on the pi, but would like to do more testing on something slightly faster than the pi 3 b+ (until a video carrier board comes along to offload the pi's CPU). Right now, as a hobbyist, I'm basically just happy to have this in my tool palette and get my feet wet with it with the AI on the sidelines. I can't seem to tear myself away from my imagination!

I spent 2 days to get this SDK working. I follow the online instructions but keep encountering compatibility errors with my Raspberry Pi 3 b+. I have 12 years experience in Linux software development and over 6 years with RasPi. I still get my ass kicked by this setup. I'm putting it aside for now, I'll try again when I have more time to burn. 🙄

The quality of the Intel Neural Compute Stick 2 is impressive. This is a huge device for deploying a neural network. It was delivered very quickly with no loss or damage. was satisfactory and I have recommended it to all my friends

Raspberry Pi support was terrible and Python code doesn't work for NCS2. Finally, with the help of the C++ library, it worked and got 6 to 8 frames per second. According to the website, it's 8x better than the first stick, but not even 8x better than a regular Raspberry Pi. I'm not very happy with this product.

Every time I try to download the required Intel OpenVino software from the Intel website, an error occurs. Intel clearly doesn't care about supporting this product.

If you're thinking about implementing a neural network, for example for image recognition, this little USB-3 device is on your critical path. I installed it on a Windows 10 and Ubuntu 18.04 system with no problems. Intel provides detailed instructions on how to set up a whole range of demos that will get you interested in NN. If you are more serious, you can use multiple instances of this device to propagate NN to more nodes. It also works on Raspberry Pi 4 but I haven't had a chance to try it…

I spent hours getting this to work on my pi4gb. It doesn't have to have the car model. So you can plug it in, download a file, run it, and know you've got it installed. exacerbates the lack of feedback as to whether it is operational. I will buy a product from a competitor instead of figuring out how to use it. When trying to install drivers I went to Parrell Studio xe. idk whether it's necessary or not because the site is obscure and useless. If it doesn't have the software to just use it…

I've had it for a little over a week and have been able to convert a custom TensorFlow model into their framework, but can ONLY use it in my demo programs. All in all, I'm more than disappointed because I'm Intel. Some of the requirements they make are just not acceptable if you plan to use your machine for anything other than these products. Special versions of OpenCV (without using environments!) I was able to get pre-configured "examples" of these, which are binaries, so there's no point in…