Skip to content

🩹 [Fix] load new checkpoints #152

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open

🩹 [Fix] load new checkpoints #152

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
818297a
🩹 [Fix] load new checkpoints
Adamusen Jan 7, 2025
52e6933
🐛 [Fix] removeprefix
Adamusen Jan 7, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
20 changes: 13 additions & 7 deletions yolo/model/yolo.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -127,29 +127,35 @@ def save_load_weights(self, weights: Union[Path, OrderedDict]):
"""
if isinstance(weights, Path):
weights = torch.load(weights, map_location=torch.device("cpu"), weights_only=False)
if "model_state_dict" in weights:
if "model_state_dict" in weights: #.pt
weights = weights["model_state_dict"]
elif "state_dict" in weights: #.ckpt
weights = weights["state_dict"]

model_state_dict = self.model.state_dict()
model_state_dict = self.state_dict()

# TODO1: autoload old version weight
# TODO2: weight transform if num_class difference

error_dict = {"Mismatch": set(), "Not Found": set()}
for model_key, model_weight in model_state_dict.items():
if model_key not in weights:
weights_key = model_key
if weights_key not in weights: #.ckpt
weights_key = "model." + model_key
if weights_key not in weights: #.pt old
weights_key = model_key[6:]
if weights_key not in weights:
error_dict["Not Found"].add(tuple(model_key.split(".")[:-2]))
continue
if model_weight.shape != weights[model_key].shape:
if model_weight.shape != weights[weights_key].shape:
error_dict["Mismatch"].add(tuple(model_key.split(".")[:-2]))
continue
model_state_dict[model_key] = weights[model_key]
model_state_dict[model_key] = weights[weights_key]

for error_name, error_set in error_dict.items():
for weight_name in error_set:
logger.warning(f":warning: Weight {error_name} for key: {'.'.join(weight_name)}")

self.model.load_state_dict(model_state_dict)
self.load_state_dict(model_state_dict)


def create_model(model_cfg: ModelConfig, weight_path: Union[bool, Path] = True, class_num: int = 80) -> YOLO:
Expand Down
Loading