26 lines
987 B
Markdown
26 lines
987 B
Markdown
# Pytorch ResNet18 QAT
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## Model Source
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The model used in this example come from the 'torchvision', more details in the 'export_pytorch_model' function of the script.
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## Script Usage
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*Usage:*
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```
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python test.py
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```
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*Description:*
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- The default target platform in script is 'rk3566', please modify the 'target_platform' parameter of 'rknn.config' according to the actual platform.
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- If connecting board is required, please add the 'target' parameter in 'rknn.init_runtime'.
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- This is a QAT model, and the do_quantization of rknn.build needs to be set to False.
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## Expected Results
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This example will print the TOP5 labels and corresponding scores of the test image classification results, as follows:
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```
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-----TOP 5-----
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[812]: 0.9997414350509644
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[404]: 0.0001939184294315055
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[657]: 1.4925829418643843e-05
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[466 744 895]: 8.44217083795229e-06
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[466 744 895]: 8.44217083795229e-06
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```
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- Note: Different platforms, different versions of tools and drivers may have slightly different results. |