Sign Language Recognition with esp32-cam using tflite скачать в хорошем качестве

Sign Language Recognition with esp32-cam using tflite

I implement a tensorflow lite (tflite) model on the ESP32-cam for American Sign language. The model is a stand-alone model and requires no network connection to run. The projects uses a pcb from pcbway to connect the esp32-can to a tft lcd screen, thus eliminating much of the messy wiring. #esp32cam #tflite Notes: I'm using board version 2.02 of the esp32. The higher versions had a bug with the TFT_eSPI library for outputting jpeg files. Although, I didn't end up using the jpeg files. The pin connections for the esp32 and tft are below. Note: if you are using the TFT_eSPI library, you need to define the pin connections in the User_Setup.h file, TFT_MISO 13 TFT_MOSI 12 TFT_SCLK 14 TFT_CS 15 // Chip select control pin TFT_DC 2 // Data Command control pin TFT_RST 16 // Reset pin (could connect to RST pin) //LED pin connected to 5v. github: https://github.com/jonathanrandall/Am... Kaggle dataset: https://www.kaggle.com/datasets/datam... Kaggle notebook: https://www.kaggle.com/code/madz2000/... pcbway: https://pcbway.com/g/QkVak7 person detection training instructions: https://github.com/tensorflow/tflite-... tflite instructions for microcontrollers: https://www.tensorflow.org/lite/micro... Converting tensorflow to tflite interesting video:    • Convert Tensorflow/Keras model to TensorFl...