Thanks! I will look into those frameworks. On Wednesday, March 18, 2020 at 12:44:33 PM UTC-4, Bryan Schneiders wrote: > > The BeagleBone AI is only performing "inference" using an already trained > model. No training or learning is occurring on the BBAI itself. > > You may want to start with the introduction video linked from the tutorial > at: > https://training.ti.com/texas-instruments-deep-learning-tidl-overview > > To train a new model you will need to learn the Caffe or TensorFlow > frameworks. This is unrelated to the BeagleBone hardware itself. > > You can find more technical information about what types of models are > supported by the TI API here: > > http://downloads.ti.com/processor-sdk-linux/esd/docs/latest/linux/Foundational_Components/Machine_Learning/tidl.html > > > > On Tuesday, March 17, 2020 at 1:29:59 PM UTC-4, Tomas Medina wrote: >> >> >> I followed this tutorial for running a classification program on the >> BeagleBone AI: >> https://beagleboard.org/p/175809/tidl-on-beaglebone-ai-1ee263 >> >> I was very pleased with the results. When I looked through >> clasification.tidl.cpp, I noticed this block of code: >> >> selected_items[0] = 429; /* baseball */ >> selected_items[1] = 837; /* sunglasses */ >> selected_items[2] = 504; /* coffee_mug */ >> selected_items[3] = 441; /* beer_glass */ >> selected_items[4] = 898; /* water_bottle */ >> selected_items[5] = 931; /* bagel */ >> selected_items[6] = 531; /* digital_watch */ >> selected_items[7] = 487; /* cellular_telephone */ >> selected_items[8] = 722; /* ping-pong_ball */ >> selected_items[9] = 720; /* pill_bottle */ >> >> I assumed this is what determines which items from a list the program >> will try to identify. The program also references a file called >> 'imagenet.txt', which I assumed was the list of every object the neural >> network was trained to recognize. I looked through imagenet.txt, but I >> couldn't find any 'person' or 'human' objects. This means I will either >> need to train the beaglebone myself or somehow find a new model. How can I >> make it so that the example program can identify people? >> >
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