Edge impulse 在esp32-cam 可以实现人数检测么

#1

我在edge impulse 训练的目标检测模型 未能成功在esp32-cam运行
但是我训练的分类模型Mobile net v1 ，可以成功的在esp32-cam 运行

#2

Hi,

Object detection models are currently only supported on the platforms described in our docs page here: https://docs.edgeimpulse.com/docs/object-detection#1-prerequisites

#3

We’re working on a new object detection pipeline for MCUs which will come out shortly, but not sure if it it will make it to ESP32 due to size / speed constraints.

#4

@janjongboom can you please describe the issues with ESP32?
There should be no speed or size issues with latest examples repo from Espressif: https://github.com/espressif/tflite-micro-esp-examples

#5

Hi @VikramDattu,

The examples linked in that repo are much simpler than object detection:

  • hello_world - regression used to estimate a sinewave
  • micro_speech - keyword spotting (classification)
  • person_detection - image classification

Classification (including image classification) is much simpler than object detection. As a result, the object detection pipeline that Jan is referring to will require more RAM and CPU speed than those examples (and as such, may not run on an ESP32).

#6

@shawn_edgeimpulse I understand.
With esp-nn, which optimises ESP32 and ESP32S3 kernels, there is a significant speedup.
Let me know how it goes for your model and the bottlenecks you face.

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