Submersible pump impeller defect detection - Object detection

Edge Impulse Experts / Submersible pump impeller defect detection Public

Target: Renesas RZ/V2L (with DRP-AI accelerator) Clone this project

Object Detection (Images) settings

Training settings

Number of training cycles

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Learning rate

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Training processor

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Advanced training settings

Validation set size

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Split train/validation set on metadata key

Batch size

Profile int8 model

Neural network architecture

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Input layer (76,800 features)

Edge Impulse Experts / YOLOv5(added by Solomon Githu)

Output layer (2 classes)

Model

Model version:

Last training performance (validation set)

Precision score

96.3%

On-device performance

Engine:

Inferencing time

0 ms.

Peak RAM usage

0.0K

Flash usage

0.0K

This model won't run on MCUs. edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 1f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 2f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 7f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 8f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 12f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 13f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 17f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 18f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 22f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 23f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 28f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 29f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 34f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 35f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 40f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 41f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 45f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 46f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 50f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 51f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 55f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 56f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 61f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 62f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 66f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 67f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 72f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 73f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 78f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 79f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 84f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 85f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 89f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 90f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 94f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 95f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 99f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 100f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 105f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 106f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 110f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 111f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 116f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 117f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 121f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 122f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 127f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 128f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 133f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 134f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 139f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 140f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 144f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 145f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 149f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 150f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 154f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 155f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 160f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 161f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 166f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 167f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 171f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 172f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 180f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 181f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 185f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 186f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 192f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 193f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 197f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 198f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 202f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 203f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 207f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 208f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 213f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 214f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 218f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 219f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 225f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 226f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 230f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 231f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 235f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 236f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 240f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 241f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 246f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 247f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 252f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 253f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 258f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 259f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 263f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 264f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 268f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 269f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 273f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 274f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 279f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 280f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 285f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 286f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 291f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 292f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 296f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 297f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 301f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 302f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 306f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 307f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 312f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 313f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 317f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 318f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 323f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 325f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 327f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 329f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 334f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 341f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 342f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 348f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 350f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 356f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 363f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 364f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 370f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 372f) failed to prepare with status 1 edge-impulse-sdk/tensorflow/lite/micro/kernels/dequantize.cc:59 input->type == kTfLiteUInt8 || input->type == kTfLiteInt8 || input->type == kTfLiteInt16 was not true. Node DEQUANTIZE (number 378f) failed to prepare with status 1

Did you know? You can customize your model through the Expert view (click on to switch),
or can even bring your own model (in PyTorch, Keras or scikit-learn).

Model	Author
MobileNetV2 SSD FPN-Lite (320x320 only) Officially supported A pre-trained object detection model designed to locate up to 10 objects within an image, outputting a bounding box for each object detected. The model is around 3.7MB in size. It supports an RGB input at 320x320px. For other resolutions, use FOMO or an NVIDIA TAO model.	Edge Impulse
FOMO (Faster Objects, More Objects) MobileNetV2 0.1 Officially supported An object detection model based on MobileNetV2 (alpha 0.1) designed to coarsely segment an image into a grid of background vs objects of interest. These models are designed to be <100KB in size and support a grayscale or RGB input at any resolution.	Edge Impulse
FOMO (Faster Objects, More Objects) MobileNetV2 0.35 Officially supported An object detection model based on MobileNetV2 (alpha 0.35) designed to coarsely segment an image into a grid of background vs objects of interest. These models are designed to be <100KB in size and support a grayscale or RGB input at any resolution.	Edge Impulse
YOLOv5(added by Solomon Githu) Enterprise Object Detection using YOLOv5	Edge Impulse Experts
YOLOx Enterprise YOLOx fork for TI TDA4VM	Edge Impulse Experts
YOLOv5 for Renesas DRP-AI Community Transfer learning model using YOLOv5 v5 branch with yolov5s.pt weights. This block is only compatible with Renesas DRP-AI.	Renesas
YOLOv5 Community Transfer learning model based on Ultralytics YOLOv5 using yolov5n.pt weights, supports RGB input at any resolution (square images only).	Community blocks
YOLOX for TI TDA4VM Community TI's EDGEAI YOLOX. https://github.com/TexasInstruments/edgeai-yolox. Outputs ONNX v7 model format both with and without final detect layers using PyTorch 1.7.1. See the implementation https://github.com/edgeimpulse/example-custom-ml-block-ti-yolox/tree/onnx-v7	Texas Instruments
NVIDIA TAO RetinaNet Professional Enterprise Object detection model with superior performance on smaller objects. Configurable backbones optimized for targets from MCU to GPU. Supports rectangular input. Image width and height must be multiples of 32. Training requires GPU.	Edge Impulse Inc.
NVIDIA TAO YOLOV3 Professional Enterprise Object detection model that is fast and accurate. Configurable backbones optimized for targets from MCU to GPU. Supports rectangular input. Image width and height must be multiples of 32. Training requires GPU.	Edge Impulse Inc.
NVIDIA TAO YOLOV4 Professional Enterprise Object detection model that is fast and accurate. Configurable backbones optimized for targets from MCU to GPU. Supports rectangular input. Image width and height must be multiples of 32. Training requires GPU.	Edge Impulse Inc.
NVIDIA TAO SSD Professional Enterprise Object detection model for general purpose use. Configurable backbones optimized for targets from MCU to GPU. Supports rectangular input. Image width and height must be multiples of 32. Training requires GPU.	Edge Impulse Inc.

The backbone is the foundational element of a neural network model, responsible for extracting meaningful features from input data, enabling subsequent parts to perform anomaly scoring or classification.

Description	Author
EfficientNet V2B0 Uses around 755K RAM based on your input size, and between 240-1675K ROM depending on the number of layers, with default compiler settings. Supports RGB.	Edge Impulse
MobileNetV2 0.35 Uses around 636K RAM based on your input size, and between 69-134K ROM depending on the number of layers, with default compiler settings. Supports both RGB and grayscale.	Edge Impulse
MobileNetV2 0.50 Uses around 643K RAM based on your input size, and between 78-168K ROM depending on the number of layers, with default compiler settings. Supports both RGB and grayscale.	Edge Impulse
MobileNetV2 0.75 Uses around 1263K RAM based on your input size, and between 109-266K ROM depending on the number of layers, with default compiler settings. Supports both RGB and grayscale.	Edge Impulse
MobileNetV2 1.0 Uses around 1273K RAM based on your input size, and between 126-372K ROM depending on the number of layers, with default compiler settings. Supports both RGB and grayscale.	Edge Impulse
MobileNetV2 0.1 Uses around 622K RAM based on your input size, and 58K ROM, with default compiler settings. Supports both RGB and grayscale.	Edge Impulse

The scoring function operates on the features extracted by the backbone, and returns anomaly scores for each segment of the image.

Description	Author	Recommended
MobileNetV2 SSD FPN-Lite (320x320 only) A pre-trained object detection model designed to locate up to 10 objects within an image, outputting a bounding box for each object detected. The model is around 3.7MB in size. It supports an RGB input at 320x320px. For other resolutions, use FOMO or an NVIDIA TAO model.	Edge Impulse
FOMO (Faster Objects, More Objects) MobileNetV2 0.1 An object detection model based on MobileNetV2 (alpha 0.1) designed to coarsely segment an image into a grid of background vs objects of interest. These models are designed to be <100KB in size and support a grayscale or RGB input at any resolution.	Edge Impulse
FOMO (Faster Objects, More Objects) MobileNetV2 0.35 An object detection model based on MobileNetV2 (alpha 0.35) designed to coarsely segment an image into a grid of background vs objects of interest. These models are designed to be <100KB in size and support a grayscale or RGB input at any resolution.	Edge Impulse
YOLOv5(added by Solomon Githu) Object Detection using YOLOv5	Edge Impulse
YOLOx YOLOx fork for TI TDA4VM	Edge Impulse
YOLOv5 for Renesas DRP-AI Transfer learning model using YOLOv5 v5 branch with yolov5s.pt weights. This block is only compatible with Renesas DRP-AI.	Edge Impulse
YOLOv5 Transfer learning model based on Ultralytics YOLOv5 using yolov5n.pt weights, supports RGB input at any resolution (square images only).	Edge Impulse
YOLOX for TI TDA4VM TI's EDGEAI YOLOX. https://github.com/TexasInstruments/edgeai-yolox. Outputs ONNX v7 model format both with and without final detect layers using PyTorch 1.7.1. See the implementation https://github.com/edgeimpulse/example-custom-ml-block-ti-yolox/tree/onnx-v7	Edge Impulse
NVIDIA TAO RetinaNet Object detection model with superior performance on smaller objects. Configurable backbones optimized for targets from MCU to GPU. Supports rectangular input. Image width and height must be multiples of 32. Training requires GPU.	Edge Impulse
NVIDIA TAO YOLOV3 Object detection model that is fast and accurate. Configurable backbones optimized for targets from MCU to GPU. Supports rectangular input. Image width and height must be multiples of 32. Training requires GPU.	Edge Impulse
NVIDIA TAO YOLOV4 Object detection model that is fast and accurate. Configurable backbones optimized for targets from MCU to GPU. Supports rectangular input. Image width and height must be multiples of 32. Training requires GPU.	Edge Impulse
NVIDIA TAO SSD Object detection model for general purpose use. Configurable backbones optimized for targets from MCU to GPU. Supports rectangular input. Image width and height must be multiples of 32. Training requires GPU.	Edge Impulse

These users will be notified over email when this job finishes.

	Name
	Solo Githu