matterport / matterport/Mask_RCNN
OSError: Unable to open file (truncated file: eof = 74436151, sblock->base_addr = 0, stored_eof = 257557808)
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Description
I want to use Mask-RCNN demo.py in my jupyter notebook but when i ran the the demo code , i faced such a problem
OSError Traceback (most recent call last)
in ()
3
4 # Load weights trained on MS-COCO
----> 5 model.load_weights(COCO_MODEL_PATH, by_name=True)
~/Mask_RCNN/mrcnn/model.py in load_weights(self, filepath, by_name, exclude)
2102 if h5py is None:
2103 raise ImportError('load_weights requires h5py.')
-> 2104 f = h5py.File(filepath, mode='r')
2105 if 'layer_names' not in f.attrs and 'model_weights' in f:
2106 f = f['model_weights']
~/anaconda3/envs/MaskRCNN/lib/python3.6/site-packages/h5py/_hl/files.py in init(self, name, mode, driver, libver, userblock_size, swmr, **kwds)
310 with phil:
311 fapl = make_fapl(driver, libver, **kwds)
--> 312 fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr)
313
314 if swmr_support:
~/anaconda3/envs/MaskRCNN/lib/python3.6/site-packages/h5py/_hl/files.py in make_fid(name, mode, userblock_size, fapl, fcpl, swmr)
140 if swmr and swmr_support:
141 flags |= h5f.ACC_SWMR_READ
--> 142 fid = h5f.open(name, flags, fapl=fapl)
143 elif mode == 'r+':
144 fid = h5f.open(name, h5f.ACC_RDWR, fapl=fapl)
h5py/_objects.pyx in h5py._objects.with_phil.wrapper()
h5py/_objects.pyx in h5py._objects.with_phil.wrapper()
h5py/h5f.pyx in h5py.h5f.open()
OSError: Unable to open file (truncated file: eof = 74436151, sblock->base_addr = 0, stored_eof = 257557808)
i can not solve my problem
can any body help me??
thank's
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with demo.py and the COCO_MODEL_PATH value, then inspect model.py at the load_weights call and the HDF5 file it opens. Confirm that the COCO weights file is complete and that the demo can load it without the truncated-file OSError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter, python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100