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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