object-tracking
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(siammask) [liqiang@inspur siammask]$ bash test_mask_refine.sh config_vot.json SiamMask_VOT.pth VOT2016 0
[2019-03-14 19:42:16,619-rk0-test.py#551] Namespace(arch='Custom', config='config_vot.json', dataset='VOT2016', gt=False, log='log_test.txt', mask=True, refine=True, resume='SiamMask_VOT.pth', save_mask=False, visualization=False)
[2019-03-14 19:42:17,087-rk0-load_helper.py# 31] load pretrai
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Description
I would like to use OpenVINO as part of my AWS Lambda function in order to load and execute inference with models (packaged in .xml and .bin files) trained by OpenVINO framework.
Problem is, OpenVINO R1 that I am using takes ~900MB. My question is, what parts of OpenVINO do I need in order to load mode