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Blog Post: Portable Computer Vision: Accelerating Tensorflow Lite with Edge TPUs on a Raspberry Pi #7
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Hi. Had a few challenges getting the
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Thank you @knud! I'm going to update this to point to the official TensorFlow 2.0 wheels, now that 2.0 is GA. |
Thanks @leigh-johnson . As you may well suspect, there was a way around the problem and I was able to get things working. Mostly my own issues being the first crack at TF for me. Looking forward to Part 2, though because I am helping students with making their own models, I really can't wait. Thanks! |
I'm glad you were able to get this working! @knud What age group are your students in? I'd love to hear more about the models they're trying to train as well. So sorry about the delay on Part 2. I have a full-time job and this is just a hobby for me, but it brings me a lot of joy. ✨ |
I work mainly with university students, and sometimes with grades 3-8 via the university's outreach program (DiscoverE, U of Alberta). However, some of the uni students have their own mentoring clubs where they teach programming and robotics and other stuff. They have ambitions to push AI-ML stuff down to junior and high school. Like you, it's kind of a hobby that will transition into more time as I semi-retire. It already takes more than 10% of my time. Like today, when I am madly checking Arduinos and RPis, and other HW as part of prepping my kits for my role as HW/FW mentor at HackEDbeta in Edmonton. Keep up the Medium articles! |
https://medium.com/@grepLeigh/portable-computer-vision-accelerating-tensorflow-lite-with-edge-tpus-on-a-raspberry-pi-84e318798ce9
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