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After loading all the necessary libraries and modules, I attempted to run the code in the Jupyter notebook have encountered a few issues while attempting to execute the fourth cell in the Jupyter notebook.
C:\Users\ursti\anaconda3\envs\JLB\lib\site-packages\mmcv\utils\registry.py:64: UserWarning: The old API of register_module(module, force=False) is deprecated and will be removed, please use the new API register_module(name=None, force=False, module=None) instead.
'The old API of register_module(module, force=False) '
PermissionError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_22416\177284914.py in
4 config_file = r"E:\DLTR\Testing\mmdetection\CascadeTabNet\Config\cascade_mask_rcnn_hrnetv2p_w32_20e_v2.py"
5 checkpoint_file = r"E:\DLTR\Testing\mmdetection\epoch_36.pth"
----> 6 model = init_detector(config_file, checkpoint_file, device='cuda:0')
7
8 # Test a single image
c:\users\ursti\downloads\dltr\cascadetabnet\tablestructurerecognition\mmdetection\mmdet\apis\inference.py in init_detector(config, checkpoint, device)
26 """
27 if isinstance(config, str):
---> 28 config = mmcv.Config.fromfile(config)
29 elif not isinstance(config, mmcv.Config):
30 raise TypeError('config must be a filename or Config object, '
After loading all the necessary libraries and modules, I attempted to run the code in the Jupyter notebook have encountered a few issues while attempting to execute the fourth cell in the Jupyter notebook.
PermissionError: [Errno 13] Permission denied: 'C:\Users\ursti\AppData\Local\Temp\tmptof1bz_y\tmp85y60kl3.py'
C:\Users\ursti\anaconda3\envs\JLB\lib\site-packages\mmcv\utils\registry.py:64: UserWarning: The old API of register_module(module, force=False) is deprecated and will be removed, please use the new API register_module(name=None, force=False, module=None) instead.
'The old API of register_module(module, force=False) '
PermissionError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_22416\177284914.py in
4 config_file = r"E:\DLTR\Testing\mmdetection\CascadeTabNet\Config\cascade_mask_rcnn_hrnetv2p_w32_20e_v2.py"
5 checkpoint_file = r"E:\DLTR\Testing\mmdetection\epoch_36.pth"
----> 6 model = init_detector(config_file, checkpoint_file, device='cuda:0')
7
8 # Test a single image
c:\users\ursti\downloads\dltr\cascadetabnet\tablestructurerecognition\mmdetection\mmdet\apis\inference.py in init_detector(config, checkpoint, device)
26 """
27 if isinstance(config, str):
---> 28 config = mmcv.Config.fromfile(config)
29 elif not isinstance(config, mmcv.Config):
30 raise TypeError('config must be a filename or Config object, '
~\anaconda3\envs\JLB\lib\site-packages\mmcv\utils\config.py in fromfile(filename)
176 @staticmethod
177 def fromfile(filename):
--> 178 cfg_dict, cfg_text = Config._file2dict(filename)
179 return Config(cfg_dict, cfg_text=cfg_text, filename=filename)
180
~\anaconda3\envs\JLB\lib\site-packages\mmcv\utils\config.py in _file2dict(filename)
102 temp_config_name = osp.basename(temp_config_file.name)
103 shutil.copyfile(filename,
--> 104 osp.join(temp_config_dir, temp_config_name))
105 temp_module_name = osp.splitext(temp_config_name)[0]
106 sys.path.insert(0, temp_config_dir)
~\anaconda3\envs\JLB\lib\shutil.py in copyfile(src, dst, follow_symlinks)
119 else:
120 with open(src, 'rb') as fsrc:
--> 121 with open(dst, 'wb') as fdst:
122 copyfileobj(fsrc, fdst)
123 return dst
PermissionError: [Errno 13] Permission denied: 'C:\Users\ursti\AppData\Local\Temp\tmptof1bz_y\tmp85y60kl3.py'
**These are the code lines that I'm attempting to execute.
from mmdet.apis import init_detector, inference_detector, show_result_pyplot
import mmcv
Load model
config_file = r"E:\DLTR\Testing\mmdetection\CascadeTabNet\Config\cascade_mask_rcnn_hrnetv2p_w32_20e_v2.py"
checkpoint_file = r"E:\DLTR\Testing\mmdetection\epoch_36.pth"
model = init_detector(config_file, checkpoint_file, device='cuda:0')
Test a single image
img = r"E:\DLTR\Testing\mmdetection\CascadeTabNet\Demo\demo.png"
Run Inference
result = inference_detector(model, img)
Visualization results
show_result_pyplot(img, result,('Bordered', 'cell', 'Borderless'), score_thr=0.85)
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