Replies: 2 comments 10 replies
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4 MB should work, only 2 MB make a problem. You can use the tflite in any python environment (Keras Tensorflow) |
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Have you considered that the onboarding process (taking the images, cropping the ROI's, enhance contrast and then generating the configuration file) could be done in separate web application using modern tools like react. The web app could generate the sd-card contents and perhaps upload it by providing the IP-address of the device. Currently the process feels abysmal at best since the device is constantly failing requests and there is no error handling done. The requests just sometimes fail and doing so too often will reboot the device. The firmware could be then refactored by "API-first" design and we could build a proper UI layer for the task and that could be served in any normal web server. What do you think? |
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Thanks for the project!
I recently bought a esp32-cam from aliexpress (https://www.aliexpress.com/item/1005001642663021.html) and noticed from the logs that there is not enough ram available.
Is there anything I could do to make the project run on the 4Mb psram esp32?
Can one run the AI model externally somehow, in linux server for example?
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