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NI has recently 𝐚𝐜𝐭𝐢𝐯𝐚𝐭𝐞𝐝 𝐨𝐮𝐫 𝐥𝐢𝐜𝐞𝐧𝐬𝐞 𝐤𝐞𝐲 𝐬𝐞𝐫𝐯𝐞𝐫. 🚀
We will start distributing your credentials and licenses in the next few days so that you can continue to use 𝐇𝐀𝐈𝐁𝐀𝐋. 🐘
We still have a lot of things to do in the next weeks, our priority will be the publication of 𝐫𝐞𝐞𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 examples and the arrival of more “talking” examples like 𝐘𝐎𝐋𝐎 V5, V6, V7, V8.
There will also be full LabVIEW 32/64 bits compatibility. (CPU is already finished and will be released this week).
𝐊𝐞𝐫𝐚𝐬 and 𝐏𝐲𝐭𝐨𝐫𝐜𝐡 model import tool that will give you access to thousands of models.
Full implementation of 𝐎𝐩𝐞𝐧𝐂𝐕 (our VISION killer). Our philosophy being a package, this will allow you thanks to 𝐇𝐀𝐈𝐁𝐀𝐋 to do without additional modules.
The 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐨𝐮𝐫 𝐜𝐨𝐝𝐞𝐬 and the acceleration of inferences will also be a top priority to allow you the best Deep Learning experience.
There will 𝐧𝐨𝐭 𝐛𝐞 𝐚 𝐍𝐈 𝐇𝐀𝐑𝐃𝐖𝐀𝐑𝐄 𝐅𝐏𝐆𝐀 𝐯𝐞𝐫𝐬𝐢𝐨𝐧 because we believe that the hardware proposed today by NI is not adapted.
On the other hand, about the hardware, we are strongly interested in the 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐚𝐧 𝐈𝐧𝐭𝐞𝐥 𝐚𝐧𝐝 𝐗𝐢𝐥𝐢𝐧𝐱 𝐜𝐨𝐦𝐩𝐢𝐥𝐞𝐫 to be able to use our code directly on their FPGA.
For students we are thinking about a licensing system adapted to your budget (the question is not yet decided internally). 🧑🎓
Our goals are ambitious but not impossible and we will make
𝐋𝐚𝐛𝐕𝐈𝐄𝐖 the ultimate deep learning tool.
Thank you for your support, it gives us a boost and makes us want to do even more. 🤠
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