Paper is not out yet, but you can go to any Edge Impulse project with FOMO, and then click the three dots => Expert mode, and see the underlying Keras code.
Guys great work on squeezing the most out of these little devices but you should've named it sth else because googling "FOMO model" puts you in a weird path :)
tested FOMO on Pi4. Impressive resuts in 4-6ms.👋
Hello buddy, can you share your notebook? I'm also trying to get good fps on raspberry pi 4 , 8gb ram. Thank you in advance.
awesome! this will unlock a ton of TinyML uses
Realy nice Project, keep going :)
probably the best video i have see in 2023
Does anyone know where we can find its research paper? or where i can learn to build this model's architecture from scratch?
Paper is not out yet, but you can go to any Edge Impulse project with FOMO, and then click the three dots => Expert mode, and see the underlying Keras code.
@@janjongboom7561 does the esp32 cam not have centroids?
I have arduino ble sense 33. Is it possible to use this module for FOMO
Im having an error says "no test available" after training in object detection. someone help me fix it
Can we try it on RPi Zero?
Tested on Raspberry Pi 3. It works. Video is at my channel. Thanks!
Good explanation.
Does EI support esp32 Cam, or any Espressif chips?
you guys are amazing
Is it possible to get the coordinates of the center x, y found object?
hahaha
Does fomo work with esp32 or ESP8266?
Nice. Amazing performance. Is the code available?
Guys great work on squeezing the most out of these little devices but you should've named it sth else because googling "FOMO model" puts you in a weird path :)