Museum Relic Image Detection and Recognition Based on Deep Learning

Table 1

Test environment construction.

Hardware type	Parameter configuration	Software environment	Name
Processor	Intel(R)Core(TM)i7-6700	OS	Ubuntu 16.04
Memory	16 GB	Application software	Pycharm
Graphics card	NVDIAGeForceGTX1070	Computer language	Python
Memory capacity	8 GB	Deep learning framework	PyTorch
Memory interface	256 bit