TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType

[chinabing]

when I run "python browse_dataset.py" which is a code to visualize the data, the code and the error are shown below.

The code:

`from mmdet.registry import DATASETS, VISUALIZERS from mmengine.config import Config from mmengine.registry import init_default_scope

cfg = Config.fromfile('rtmdet_tiny_1xb12-40e_cat.py')

init_default_scope(cfg.get('default_scope', 'mmdet'))

dataset = DATASETS.build(cfg.train_dataloader.dataset) visualizer = VISUALIZERS.build(cfg.visualizer) visualizer.dataset_meta = dataset.metainfo

plt.figure(figsize=(16, 5))

for i in range(8): item=dataset[i]

img = item['inputs'].permute(1, 2, 0).numpy() data_sample = item['data_samples'].numpy() gt_instances = data_sample.gt_instances img_path = osp.basename(item['data_samples'].img_path)

gt_bboxes = gt_instances.get('bboxes', None) gt_instances.bboxes = gt_bboxes.tensor data_sample.gt_instances = gt_instances

visualizer.add_datasample( osp.basename(img_path), img, data_sample, draw_pred=False, show=False) drawed_image=visualizer.get_image()

plt.subplot(2, 4, i+1) plt.imshow(drawed_image[..., [2, 1, 0]]) plt.title(f"{osp.basename(img_path)}") plt.xticks([]) plt.yticks([])

plt.tight_layout() `

The error:

$ python browse_dataset.py loading annotations into memory... Done (t=0.00s) creating index... index created! image path: IMG_20211024_223313.jpg Traceback (most recent call last): File "D:\0.Coding\mmdetection\browse_dataset.py", line 32, in visualizer.add_datasample( File "C:\Users\robin\AppData\Roaming\Python\Python310\site-packages\mmengine\dist\utils.py", line 401, in wrapper return func(*args, **kwargs) File "D:\0.Coding\mmdetection\mmdet\visualization\local_visualizer.py", line 506, in add_datasample self.add_image(name, drawn_img, step) File "C:\Users\robin\AppData\Roaming\Python\Python310\site-packages\mmengine\dist\utils.py", line 401, in wrapper return func(*args, **kwargs) File "C:\Users\robin\AppData\Roaming\Python\Python310\site-packages\mmengine\visualization\visualizer.py", line 1084, in add_image vis_backend.add_image(name, image, step) # type: ignore File "C:\Users\robin\AppData\Roaming\Python\Python310\site-packages\mmengine\visualization\vis_backend.py", line 56, in wrapper obj._init_env() # type: ignore File "C:\Users\robin\AppData\Roaming\Python\Python310\site-packages\mmengine\visualization\vis_backend.py", line 213, in _init_env if not os.path.exists(self._save_dir): File "D:\ProgramData\Anaconda3\envs\gpt\lib\genericpath.py", line 20, in exists os.stat(path) TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType

Set show = True, it can show one image, but also have the "TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType"

visualizer.add_datasample( os.path.basename(img_path), img, data_sample, draw_pred=False, show=True) drawed_image=visualizer.get_image()

[hhaAndroid]

@chinabing not NoneType is mean the image path is incorrect.

[chinabing]

@chinabing not NoneType is mean the image path is incorrect.

I have checked the path and have not found any problem. I can run the training step. Only the visulization step did not work. I guess whether the mmengine version is not suitable.

[chinabing]

@chinabing not NoneType is mean the image path is incorrect.

Set show = True, it can show one image, but also have the "TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType" visualizer.add_datasample( os.path.basename(img_path), img, data_sample, draw_pred=False, show=True) drawed_image=visualizer.get_image()

[qsunyuan]

same issue, I just ran inference_demo.ipynb

[batman47steam]

same issue