android13/hardware/rockchip/rknn-toolkit2/examples/tensorflow/inception_v3_qat
liiir1985 7f62dcda9f initial 2024-06-22 20:45:49 +08:00
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README.md initial 2024-06-22 20:45:49 +08:00
goldfish_299x299.jpg initial 2024-06-22 20:45:49 +08:00
test.py initial 2024-06-22 20:45:49 +08:00

README.md

TensorFlow Inception V3 QAT

Model Source

The model used in this example come from: https://storage.googleapis.com/download.tensorflow.org/models/tflite_11_05_08/inception_v3_quant.tgz

Script Usage

Usage:

python test.py

Description:

  • The default target platform in script is 'rk3566', please modify the 'target_platform' parameter of 'rknn.config' according to the actual platform.
  • If connecting board is required, please add the 'target' parameter in 'rknn.init_runtime'.
  • This is a QAT model, and the do_quantization of rknn.build needs to be set to False.

Expected Results

This example will print the TOP5 labels and corresponding scores of the test image classification results, as follows:

-----TOP 5-----
[2]: 0.9965722560882568
[408]: 0.00046414724783971906
[795]: 0.00020119294640608132
[352]: 6.953041884116828e-05
[974]: 5.136874460731633e-05
  • Note: Different platforms, different versions of tools and drivers may have slightly different results.