yixiong/FoodClassifier
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修改配置和路径。

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This commit is contained in:
zhangpu
2025-10-23 11:08:46 +08:00
parent 5db96600fe
commit 1c8ceef5b0
5 changed files with 29 additions and 21 deletions
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train/train_embedding.py
+15 -7
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@@ -48,8 +48,10 @@ TASKS = {
embedding_dim=512,
batch_size=16,
lr=1e-3,
triplet_margin=0.3,
center_loss_weight=0.1,
# triplet_margin=0.3,
triplet_margin=0.5,
# center_loss_weight=0.1,
center_loss_weight=0.5,
aug_strength="medium",
),
"whole_ingredient": TaskConfig(
@@ -59,7 +61,8 @@ TASKS = {
embedding_dim=512,
batch_size=32,
lr=8e-4,
triplet_margin=0.35,
# triplet_margin=0.35,
triplet_margin=0.5,
center_loss_weight=0.1,
aug_strength="medium",
),
@@ -385,7 +388,7 @@ class EarlyStopping:
def train_epoch(model, train_loader, triplet_criterion, center_criterion,
optimizer, center_optimizer, device, epoch):
optimizer, center_optimizer, device, epoch,CENTER_LOSS_WEIGHT):
"""
训练一个epoch
@@ -430,7 +433,11 @@ def train_epoch(model, train_loader, triplet_criterion, center_criterion,
center_loss = center_criterion(anchor_emb, labels)
# 总损失
loss = triplet_loss + settings.CENTER_LOSS_WEIGHT * center_loss # 可配置的中心损失权重
# loss = triplet_loss + settings.CENTER_LOSS_WEIGHT * center_loss # 可配置的中心损失权重
loss = triplet_loss + CENTER_LOSS_WEIGHT * center_loss # 可配置的中心损失权重
# print('triplet_loss',triplet_loss)
# print('center_loss',CENTER_LOSS_WEIGHT * center_loss)
# print('CENTER_LOSS_WEIGHT',CENTER_LOSS_WEIGHT)
# 反向传播
optimizer.zero_grad()
@@ -709,7 +716,7 @@ def main(task_key: str = "dish"):
# 训练
train_loss, train_triplet_loss, train_center_loss = train_epoch(
model, train_loader, triplet_criterion, center_criterion,
optimizer, center_optimizer, device, epoch
optimizer, center_optimizer, device, epoch,CENTER_LOSS_WEIGHT
)
# 验证
@@ -811,4 +818,5 @@ if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("task", choices=list(TASKS.keys()), nargs="?", default="dish")
args = parser.parse_args()
main("whole_ingredient")
# main("whole_ingredient")
main("dish")