train.py 文件源码

def getOpts(opts):
    print("config opts...")

    opts['validation'] = 0.1
    opts['exemplarSize'] = 127
    opts['instanceSize'] = 255-2*8
    opts['lossRPos'] = 16
    opts['lossRNeg'] = 0
    opts['labelWeight'] = 'balanced'
    opts['numPairs'] = 53200
    opts['frameRange'] = 100
    opts['trainNumEpochs'] = 50
    opts['trainLr'] = np.logspace(-2, -5, opts['trainNumEpochs'])
    opts['trainWeightDecay'] = 5e-04
    opts['randomSeed'] = 1
    opts['momentum'] = 0.9
    opts['stddev'] = 0.01

    opts['start'] = 0
    opts['expName'] = '20170518_tn_o_001'
    opts['summaryFile'] = './data_20170518/'+opts['expName']
    opts['ckptPath'] = './ckpt/'+opts['expName']
    return opts