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debug mAP

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KaiyangZhou 2018-03-11 22:10:43 +00:00
parent 5f364edb26
commit 2b75f3a11e
1 changed files with 5 additions and 3 deletions
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train_img_model_xent.py
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@ -176,7 +176,7 @@ def train(model, criterion, optimizer, trainloader, use_gpu):
if (batch_idx+1) % args.print_freq == 0: if (batch_idx+1) % args.print_freq == 0:
print("Batch {}/{}\t Loss {:.6f} ({:.6f})".format(batch_idx+1, len(trainloader), losses.val, losses.avg)) print("Batch {}/{}\t Loss {:.6f} ({:.6f})".format(batch_idx+1, len(trainloader), losses.val, losses.avg))
def test(model, queryloader, galleryloader, use_gpu): def test(model, queryloader, galleryloader, use_gpu, ranks=[1, 5, 10, 20]):
model.eval() model.eval()
qf = [] # query features qf = [] # query features
gf = [] # gallery features gf = [] # gallery features
@ -233,8 +233,10 @@ def test(model, queryloader, galleryloader, use_gpu):
print("Computing CMC and mAP") print("Computing CMC and mAP")
cmc, mAP = evaluate(distmat, q_pids, g_pids, q_camids, g_camids) cmc, mAP = evaluate(distmat, q_pids, g_pids, q_camids, g_camids)
print("Results: CMC Rank-1/5/10/20 {:.1%}/{:.1%}/{:.1%}/{:.1%}\t mAP {:.1%}" \ print("==> Results: CMC curve")
.format(cmc[0], cmc[4], cmc[9], cmc[19], mAP)) for r in ranks:
print("Rank-{} {:.1%}".format(r, cmc[r-1]))
print("mAP: {:.1%}".format(mAP))
return cmc[0] return cmc[0]