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[Fix] Fix SemanticConnectivityLoss bug on cpu #1940

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Mar 30, 2022
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[Fix] Fix SemanticConnectivityLoss bug on cpu #1940

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12 changes: 7 additions & 5 deletions paddleseg/models/losses/semantic_connectivity_loss.py
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Original file line number Diff line number Diff line change
Expand Up @@ -92,6 +92,7 @@ def forward(self, logits, labels):
label_num_conn, label_conn = cv2.connectedComponents(
labels_np_class.astype(np.uint8))

origin_pred_num_conn = pred_num_conn
if pred_num_conn > 2 * label_num_conn:
pred_num_conn = min(pred_num_conn, self.max_pred_num_conn)
real_pred_num = pred_num_conn - 1
Expand All @@ -100,8 +101,9 @@ def forward(self, logits, labels):
# Connected Components Matching and SC Loss Calculation
if real_label_num > 0 and real_pred_num > 0:
img_connectivity = compute_class_connectiveity(
pred_conn, label_conn, pred_num_conn, label_num_conn,
pred_i, real_label_num, real_pred_num, zero)
pred_conn, label_conn, pred_num_conn,
origin_pred_num_conn, label_num_conn, pred_i,
real_label_num, real_pred_num, zero)
sc_loss += 1 - img_connectivity
elif real_label_num == 0 and real_pred_num == 0:
# if no connected component, SC Loss = 0, so pass
Expand All @@ -122,12 +124,12 @@ def forward(self, logits, labels):


def compute_class_connectiveity(pred_conn, label_conn, pred_num_conn,
label_num_conn, pred, real_label_num,
real_pred_num, zero):
origin_pred_num_conn, label_num_conn, pred,
real_label_num, real_pred_num, zero):

pred_conn = paddle.to_tensor(pred_conn)
label_conn = paddle.to_tensor(label_conn)
pred_conn = F.one_hot(pred_conn, pred_num_conn)
pred_conn = F.one_hot(pred_conn, origin_pred_num_conn)
label_conn = F.one_hot(label_conn, label_num_conn)

ious = paddle.zeros((real_label_num, real_pred_num))
Expand Down