When using the v8 version for training, I added the pre-training weight file of yolov8l.pt to mot17_train_cfg.py and encountered a problem.

[luke110]

I rewrote the build trainer in mot17_train_config.py

Like this:

train = dict(
output_dir="./yolov8_mot17_train-all",
init_checkpoint="/HOME/scw6492/run/luke/yolov8/pretrain/yolov8l.pt",

I only change this.

Next I encountered the following problem：
[01/19 14:05:56 d2.checkpoint.detection_checkpoint]: [DetectionCheckpointer] Loading from /HOME/scw6492/run/luke/yolov8/pretrain/yolov8l.pt ...
[01/19 14:05:56 fvcore.common.checkpoint]: [Checkpointer] Loading from /HOME/scw6492/run/luke/yolov8/pretrain/yolov8l.pt ...
Traceback (most recent call last):
File "/HOME/scw6492/run/luke/yolov8/train.py", line 181, in
launch(
File "/data/run01/scw6492/luke/yolov8/detectron2/detectron2/engine/launch.py", line 69, in launch
mp.start_processes(
File "/HOME/scw6492/.conda/envs/sparse/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 197, in start_processes
while not context.join():
File "/HOME/scw6492/.conda/envs/sparse/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 160, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:

-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/HOME/scw6492/.conda/envs/sparse/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 69, in _wrap
fn(i, *args)
File "/data/run01/scw6492/luke/yolov8/detectron2/detectron2/engine/launch.py", line 123, in _distributed_worker
main_func(*args)
File "/HOME/scw6492/run/luke/yolov8/train.py", line 176, in main
do_train(args, cfg)
File "/HOME/scw6492/run/luke/yolov8/train.py", line 144, in do_train
checkpointer.resume_or_load(cfg.train.init_checkpoint, resume=args.resume)
File "/HOME/scw6492/.conda/envs/sparse/lib/python3.9/site-packages/fvcore/common/checkpoint.py", line 227, in resume_or_load
return self.load(path, checkpointables=[])
File "/data/run01/scw6492/luke/yolov8/detectron2/detectron2/checkpoint/detection_checkpoint.py", line 62, in load
ret = super().load(path, *args, **kwargs)
File "/HOME/scw6492/.conda/envs/sparse/lib/python3.9/site-packages/fvcore/common/checkpoint.py", line 156, in load
incompatible = self._load_model(checkpoint)
File "/data/run01/scw6492/luke/yolov8/detectron2/detectron2/checkpoint/detection_checkpoint.py", line 126, in _load_model
incompatible = super()._load_model(checkpoint)
File "/HOME/scw6492/.conda/envs/sparse/lib/python3.9/site-packages/fvcore/common/checkpoint.py", line 273, in _load_model
self._convert_ndarray_to_tensor(checkpoint_state_dict)
File "/HOME/scw6492/.conda/envs/sparse/lib/python3.9/site-packages/fvcore/common/checkpoint.py", line 366, in _convert_ndarray_to_tensor
for k in list(state_dict.keys()):
File "/HOME/scw6492/.conda/envs/sparse/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1614, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'DetectionModel' object has no attribute 'keys'