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mobilenetv3_small_float32.tflite量化成int8后精度下降严重 (TFMIC-41) #98

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xiaojianjun22 opened this issue Nov 7, 2024 · 0 comments
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@xiaojianjun22
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Checklist

  • Checked the issue tracker for similar issues to ensure this is not a duplicate.
  • Provided a clear description of your suggestion.
  • Included any relevant context or examples.

Issue or Suggestion Description

1.mobilenetv3_small_float32.tflite量化成int8后精度下降严重,基本无法用来识别
2.mobilenetv3_small_float32.tflite不量化模型大的导致esp32s3无法加载
3.mobilenetv3_small_float32.tflite量化float16后s3加载模型报错,大小凑合
083cd9b7d6a75218ef2b9d07b90fcfc
4.mobilenetv3_small_float32.tflite采用混合动态量化后,大小合适,加载模型报错
/IDF/examples/camera_my_debug/esp-tflite-micro/tensorflow/lite/micro/kernels/esp_nn/conv.cc Hybrid models are not supported on TFLite Micro.

5.麻烦看看有什么方案可以在esp32s3上正常运行mobilenetv3

@github-actions github-actions bot changed the title mobilenetv3_small_float32.tflite量化成int8后精度下降严重 mobilenetv3_small_float32.tflite量化成int8后精度下降严重 (TFMIC-41) Nov 7, 2024
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