e9d5373461b0a037716722a461cb12416aa5d1bc,evaluate.py,,evaluate,#Any#Any#Any#Any#Any#Any#,7

Before Change

    // good index
    good_index = [i for i,x in enumerate(gl) if (x==ql and gc[i]!=qc )]
    junk_index1 = [i for i,x in enumerate(gl) if (x==-2) ]
    junk_index2 = [i for i,x in enumerate(gl) if (x==ql and gc[i]==qc )]
    junk_index = junk_index2 + junk_index1
    //print(len(junk_index))
    CMC_tmp = compute_mAP(index, good_index, junk_index)
    return CMC_tmp

After Change

// Evaluate
def evaluate(qf,ql,qc,gf,gl,gc):
    query = qf
    score = np.dot(gf,query)
    // predict index
    index = np.argsort(score)  //from small to large
    index = index[::-1]
    //index = index[0:2000]

Instances