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dataset.txt	initial	2024-06-22 20:45:49 +08:00
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test.py	initial	2024-06-22 20:45:49 +08:00

README.md

ONNX ResNet50 V2

Model Source

The model used in this example come from:
https://s3.amazonaws.com/onnx-model-zoo/resnet/resnet50v2/resnet50v2.onnx

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'.

Expected Results

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

-----TOP 5-----
[155]: 0.742885410785675
[154]: 0.22587773203849792
[262]: 0.015506524592638016
[152]: 0.0035010927822440863
[254]: 0.00280063902027905

Note: Different platforms, different versions of tools and drivers may have slightly different results.