Tutorial 9 issue with generating detections

Before submitting a bug report, please be aware that your issue must be reproducible with all of the following, otherwise it is non-actionable, and we can not help you:

Current repo: run git fetch && git status -uno to check and git pull to update repo
Common dataset: coco.yaml or coco128.yaml
Common environment: Colab, Google Cloud, or Docker image. See https://github.com/ultralytics/yolov5#environments

If this is a custom dataset/training question you must include your train*.jpg, test*.jpg and results.png figures, or we can not help you. You can generate these with utils.plot_results().

🐛 Bug

A clear and concise description of what the bug is.

To Reproduce (REQUIRED)

Project: GU model: GU_crabs_gobies_wrasses1 Conf: 0,5 Experiment name: Testing_wandb_storage_location3 Input:

mlp.detect_yolo(
    source=pp.movies_paths,
    save_dir=save_dir.selected,
    conf_thres=conf_thres.value,
    artifact_dir=artifact_dir,
    save_output=True,
    project=mlp.project_name,
    name=exp_name.value,
    model=model.value,
    latest=False,
)

Output:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[15], line 1
----> 1 mlp.detect_yolo(
      2     source=pp.movies_paths,
      3     save_dir=save_dir.selected,
      4     conf_thres=conf_thres.value,
      5     artifact_dir=artifact_dir,
      6     save_output=True,
      7     project=mlp.project_name,
      8     name=exp_name.value,
      9     model=model.value,
     10     latest=False,
     11 )

File /usr/src/app/kso-dev/kso_utils/project.py:1747, in MLProjectProcessor.detect_yolo(self, project, name, source, save_dir, conf_thres, artifact_dir, model, img_size, save_output, test, latest)
   1736 else:
   1737     self.modules["detect"].run(
   1738         weights=best_model,
   1739         source=source,
   (...)
   1745         nosave=not save_output,
   1746     )
-> 1747 self.save_detections(conf_thres, model.ckpt_path, self.eval_dir)

File /usr/src/app/kso-dev/kso_utils/project.py:1796, in MLProjectProcessor.save_detections(self, conf_thres, model, eval_dir)
   1794 def save_detections(self, conf_thres: float, model: str, eval_dir: str):
   1795     if self.registry == "wandb":
-> 1796         data_dict = self.run.rawconfig["data_dict"]
   1797         species_mapping = data_dict["names"]
   1798         self.modules["yolo_utils"].set_config(
   1799             conf=conf_thres,
   1800             model_name=model,
   1801             evaluation_directory=eval_dir,
   1802             species_map=species_mapping,
   1803         )

AttributeError: 'Run' object has no attribute 'rawconfig'

Expected behavior

A clear and concise description of what you expected to happen.

Environment

If applicable, add screenshots to help explain your problem.

OS: [e.g. Ubuntu]
GPU [e.g. 2080 Ti]

Additional context

Add any other context about the problem here.

New error, same spot:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[14], line 1
----> 1 mlp.detect_yolo(
      2     source=pp.movies_paths,
      3     save_dir=save_dir.selected,
      4     conf_thres=conf_thres.value,
      5     artifact_dir=artifact_dir,
      6     save_output=True,
      7     project=mlp.project_name,
      8     name=exp_name.value,
      9     model=model.value,
     10     latest=False,
     11 )

File /usr/src/app/kso-dev/kso_utils/project.py:1746, in MLProjectProcessor.detect_yolo(self, project, name, source, save_dir, conf_thres, artifact_dir, model, img_size, save_output, test, latest)
   1735 else:
   1736     self.modules["detect"].run(
   1737         weights=best_model,
   1738         source=source,
   (...)
   1744         nosave=not save_output,
   1745     )
-> 1746 self.save_detections(conf_thres, model.ckpt_path, self.eval_dir)

File /usr/src/app/kso-dev/kso_utils/project.py:1802, in MLProjectProcessor.save_detections(self, conf_thres, model, eval_dir)
   1799         yaml_data = yaml.safe_load(file)
   1800     return yaml_data
-> 1802 data_dict = read_yaml_file(self.data_path)
   1803 species_mapping = data_dict["names"]
   1804 self.modules["yolo_utils"].set_config(
   1805     conf=conf_thres,
   1806     model_name=model,
   1807     evaluation_directory=eval_dir,
   1808     species_map=species_mapping,
   1809 )

File /usr/src/app/kso-dev/kso_utils/project.py:1798, in MLProjectProcessor.save_detections.<locals>.read_yaml_file(file_path)
   1797 def read_yaml_file(file_path):
-> 1798     with open(file_path, "r") as file:
   1799         yaml_data = yaml.safe_load(file)
   1800     return yaml_data

TypeError: expected str, bytes or os.PathLike object, not NoneType

ocean-data-factory-sweden / kso