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发表于 2019-3-1 17:13:49
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Tried Yolov3 416. All my results are as follow. Do they algin with RK's internal testing?
Yolov3 608: 440ms
Yolov3 416: 210ms
Yolov2 608: 80ms
Yolov3 tiny: 20ms
BTW, I met below warnings during running rknn_tranform.py. Does it mean the rknn model is not best optimized (i.e. some high efficiency OP's are ignored due to accuracy loss)?
--> Building model
W extend add_13 to add will cause accuracy loss, do not extend.
W extend add_23 to add will cause accuracy loss, do not extend.
W extend add_30 to add will cause accuracy loss, do not extend.
W extend add_40 to add will cause accuracy loss, do not extend.
W extend add_47 to add will cause accuracy loss, do not extend.
W extend add_54 to add will cause accuracy loss, do not extend.
W extend add_61 to add will cause accuracy loss, do not extend.
W extend add_68 to add will cause accuracy loss, do not extend.
W extend add_75 to add will cause accuracy loss, do not extend.
W extend add_82 to add will cause accuracy loss, do not extend.
W extend add_89 to add will cause accuracy loss, do not extend.
W extend add_99 to add will cause accuracy loss, do not extend.
W extend add_106 to add will cause accuracy loss, do not extend.
W extend add_113 to add will cause accuracy loss, do not extend.
W extend add_120 to add will cause accuracy loss, do not extend.
W extend add_127 to add will cause accuracy loss, do not extend.
W extend add_134 to add will cause accuracy loss, do not extend.
W extend add_141 to add will cause accuracy loss, do not extend.
W extend add_148 to add will cause accuracy loss, do not extend.
W extend add_158 to add will cause accuracy loss, do not extend.
W extend add_165 to add will cause accuracy loss, do not extend.
W extend add_172 to add will cause accuracy loss, do not extend.
W extend add_179 to add will cause accuracy loss, do not extend.
done |
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