Hi, So just to clarify, is this code using a tflite model, and doing all of the processing upon the esp32, or are you simply feeding images from esp32 into the computer, computing there then displaying on a web server?
The core process is happening in browser. Esp32cam only holds the source code and all the image processing is being done in your browser. All the magic is through JavaScript and jQuery (which is getting executed on client (browsers that are accessing the esp32 server) TF js framework > mobilenet model.
@@wiredai2195 Thank you for your speedy reply. That's great, sadly I want to do the processing on the esp32 instead, but good to know of external processing methods.
![Use Facial Detection & Recognition on an ESP32 Wi-Fi Camera [Tutorial]](http://i.ytimg.com/vi/LOqVIe9cnW8/mqdefault.jpg)
Great video thank you for sharing
Thanks for watching!
Hi, So just to clarify, is this code using a tflite model, and doing all of the processing upon the esp32, or are you simply feeding images from esp32 into the computer, computing there then displaying on a web server?
The core process is happening in browser. Esp32cam only holds the source code and all the image processing is being done in your browser. All the magic is through JavaScript and jQuery (which is getting executed on client (browsers that are accessing the esp32 server)
TF js framework > mobilenet model.
@@wiredai2195 Thank you for your speedy reply. That's great, sadly I want to do the processing on the esp32 instead, but good to know of external processing methods.
If i want to use a model.json file instead of the mobilenet model how do i do that?