- Is there any published documentation to prepare in advance of the June arrival of the device?
- Is there a list of supported cameras?
Yes, allow the use of custom-programmed models.drabanus wrote: ↑Wed Jun 05, 2019 12:33 amIs it possible to upload a generative adversarial network (GAN) model, trained on a custom image set, and have video/audio data be processed in real time? I would like to start with video data of 720p, audio 44kHz, for a total of voice alteration, face detection, object recognition and finally image cropping. Does the SDK allow the use of custom-programmed models?
Another application I would like to ponder is semantic segmentation (i.e. separation of a live video scene into objects, foreground, background etc).
How does the compute power of the Sipeed MAix compare to other deep learning hardware like GPUs? Do you have a benchmark comparison like with an NVIDIA gaming GPU?
The narration in the note you mention is for Arduino based solutions. I was seeking Raspberry Pi based solutions since the HAT is mounted on a Raspberry Pi. Otherwise, wouldn't it be better to leverage the Maixduino for the Arduino style examples.Hi there,
The wiki page is available now:
http://wiki.seeedstudio.com/Grove_AI_HA ... _Computing
I wish you luck. I have been trying since I received my Grove AI HAT to do anything with it. So far, this is what I have learned:baqwas wrote: ↑Thu Jul 11, 2019 11:26 amHello jellyfish,
I understand that Raspberry Pi Raspbian supports Arduino IDE but what about Python (and rich set of libraries for AI/ML) for the AI HAT? Do we need to install the toolchain along the lines of the Maixduino with some different binaries? Is there some guidance for this type of exercise?
Code: Select all
$ sudo ./face-detected.sh Segmentation fault $