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Fix giou bug #129

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Fix giou bug #129

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9 changes: 5 additions & 4 deletions yolox/models/losses.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,8 @@ def forward(self, pred, target):

en = (tl < br).type(tl.type()).prod(dim=1)
area_i = torch.prod(br - tl, 1) * en
iou = (area_i) / (area_p + area_g - area_i + 1e-16)
area_u = area_p + area_g - area_i
iou = (area_i) / (area_u + 1e-16)

if self.loss_type == "iou":
loss = 1 - iou ** 2
Expand All @@ -42,7 +43,7 @@ def forward(self, pred, target):
(pred[:, :2] + pred[:, 2:] / 2), (target[:, :2] + target[:, 2:] / 2)
)
area_c = torch.prod(c_br - c_tl, 1)
giou = iou - (area_c - area_i) / area_c.clamp(1e-16)
giou = iou - (area_c - area_u) / area_c.clamp(1e-16)
loss = 1 - giou.clamp(min=-1.0, max=1.0)

if self.reduction == "mean":
Expand Down Expand Up @@ -77,5 +78,5 @@ def sigmoid_focal_loss(inputs, targets, num_boxes, alpha: float = 0.25, gamma: f
if alpha >= 0:
alpha_t = alpha * targets + (1 - alpha) * (1 - targets)
loss = alpha_t * loss
#return loss.mean(0).sum() / num_boxes
return loss.sum() / num_boxes
# return loss.mean(0).sum() / num_boxes
return loss.sum() / num_boxes