Or is that still when you go to FPGA, is that still leaving too much on the table?

还是说，当你转向FPGA时，这仍然留有太多未开发潜力？

And this is the FPGA board with a logic analyzer attached so we can see what it's doing.

这是带有逻辑分析仪 FPGA 板，所们可看到它在做什么。

Finally, an embedded sensing system for recognizing citrus flowers was designed by quantitatively applying the proposed YOLOv4-CF model to an FPGA platform.

最终，通过将提出YOLOv4-CF模型量化应用于FPGA平台，设计了一套用于识别柑橘花嵌入式感知系统。

The FPGA side had a frame rate of 30 FPS; thus, the embedded sensing system could meet the demands of florescence information in real-time monitoring.

FPGA端实现了30帧每秒处理速度，因此嵌入式传感系统能够满足实时监控开花信息需求。

But I think another thing that's kind of interesting is like with cloud FPGAs, you can sort of create your own architecture for your problem space.

但觉得另一件有趣事情是， 借助云端FPGA，你可为自己问题领域量身定制一。

But I didn't have this FPGA board, and it was just too lazy to port the code to an FPGA board that I had at hand.

但是没有这个FPGA板，只是懒得把代码移植到手边FPGA板上。

To go to an FPGA structure that would allow the algorithms to continually evolved and still be able to match pretty well to the new algorithm.

转向一FPGA结，使得算法能够持续进化，同时仍然能够很好地匹配新算法。

So we just soldered wires to there, and just moved them out for easier access, took them up to the FPGA, so that we can sniff the traffic.

所们只是将电线焊接到那里，然后将它们移出便于访问，将它们带到 FPGA 上，这样们就可嗅探流量。

So we hooked up an FPGA to do that and wrote some code to analyze the eMMC traffic, and we used the last transaction as a trigger.

因此，们连接了一个 FPGA 来执行此操作，并编写了一些代码来分析 eMMC 流量，们使用最后一个事务作为触发器。

That's achieved and you can really change that flexibility change the structure the FPGA to do some other problem you can imagine situations where it makes sense particularly when the algorithms are changing quickly.

那是实现了，你可真正改变那灵活性，改变FPGA结来解决其他问题。你可想象，在算法快速变化情况下，这样做是有意义。