We propose a hardware-friendly, fast, and high-performance FLD algorithm. 1、data process code: DataRow_diffcrop.py, mainloop.py 2、loss: MyNormlizedMSE.py, MyNormlizedMSE_weight.py 3、test code: batch_evaluation_org_diffcrop.py 4、train code: train_mobile_v2_crop.py
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We propose a hardware-friendly, fast, and high-performance FLD algorithm.
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