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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-23 17:24:50 +02:00
parent 5f2b551818
commit 2f256ee274
1 changed files with 4 additions and 4 deletions
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8
utils/utils.py
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@ -321,8 +321,8 @@ def compute_loss(p, targets, model, arc='default'): # predictions, targets, mod
# Define criteria # Define criteria
BCEcls = nn.BCEWithLogitsLoss(pos_weight=ft([h['cls_pw']])) BCEcls = nn.BCEWithLogitsLoss(pos_weight=ft([h['cls_pw']]))
BCEobj = nn.BCEWithLogitsLoss(pos_weight=ft([h['obj_pw']])) BCEobj = nn.BCEWithLogitsLoss(pos_weight=ft([h['obj_pw']]))
BCE = nn.BCEWithLogitsLoss() FBCE = FocalLoss(nn.BCEWithLogitsLoss())
CE = nn.CrossEntropyLoss() # weight=model.class_weights FCE = FocalLoss(nn.CrossEntropyLoss()) # weight=model.class_weights
# Compute losses # Compute losses
bs = p[0].shape[0] # batch size bs = p[0].shape[0] # batch size
@ -361,13 +361,13 @@ def compute_loss(p, targets, model, arc='default'): # predictions, targets, mod
t = torch.zeros_like(pi[..., 0], dtype=torch.long) # targets t = torch.zeros_like(pi[..., 0], dtype=torch.long) # targets
if nb: if nb:
t[b, a, gj, gi] = tcls[i] + 1 t[b, a, gj, gi] = tcls[i] + 1
lcls += CE(pi[..., 4:].view(-1, model.nc + 1), t.view(-1)) lcls += FCE(pi[..., 4:].view(-1, model.nc + 1), t.view(-1))
elif arc == 'uBCE': # unified BCE (1 background + 80 classes), hyps 200-30 elif arc == 'uBCE': # unified BCE (1 background + 80 classes), hyps 200-30
t = torch.zeros_like(pi[..., 5:]) # targets t = torch.zeros_like(pi[..., 5:]) # targets
if nb: if nb:
t[b, a, gj, gi, tcls[i]] = 1.0 t[b, a, gj, gi, tcls[i]] = 1.0
lobj += BCE(pi[..., 5:], t) lobj += FBCE(pi[..., 5:], t)
lbox *= k * h['giou'] lbox *= k * h['giou']
lobj *= k * h['obj'] lobj *= k * h['obj']