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cmdline: python repositories/CLAM/create_patches.py --source ../image_and_convert/wsi --patch_size 224 --seg --patch --stitch --save_dir patch --no_auto_skip output:
python repositories/CLAM/create_patches.py --source ../image_and_convert/wsi --patch_size 224 --seg --patch --stitch --save_dir patch --no_auto_skip
source: ../image_and_convert/wsi patch_save_dir: patch/patches mask_save_dir: patch/masks stitch_save_dir: patch/stitches source : ../image_and_convert/wsi save_dir : patch patch_save_dir : patch/patches mask_save_dir : patch/masks stitch_save_dir : patch/stitches {'seg_params': {'seg_level': -1, 'sthresh': 8, 'mthresh': 7, 'close': 4, 'use_otsu': False, 'keep_ids': 'none', 'exclude_ids': 'none'}, 'filter_params': {'a_t': 100, 'a_h': 16, 'max_n_holes': 8}, 'patch_params': {'white_thresh': 5, 'black_thresh': 40, 'use_padding': True, 'contour_fn': 'four_pt'}, 'vis_params': {'vis_level': -1, 'line_thickness': 250}} progress: 0.00, 0/1 processing T1.svs Creating patches for: T1 ... Bounding Box: 45632 20224 9985 8897 Contour Area: 36016128.0 patches extracted: 585 Bounding Box: 96064 0 29953 25665 Contour Area: 403767296.0 patches extracted: 4419 Bounding Box: 55360 0 12225 9473 Contour Area: 42829824.0 patches extracted: 704 Bounding Box: 32832 0 88065 67137 Contour Area: 2974095360.0 patches extracted: 45717 Bounding Box: 0 0 46209 66945 Contour Area: 1459935232.0 patches extracted: 21715 original size: 126336 x 67200 downscaled size for stiching: 1974 x 1050 number of patches: 56543 Traceback (most recent call last): File "/data/cancer/work/repositories/CLAM/create_patches.py", line 281, in <module> seg_times, patch_times = seg_and_patch(**directories, **parameters, File "/data/cancer/work/repositories/CLAM/create_patches.py", line 178, in seg_and_patch heatmap, stitch_time_elapsed = stitching(file_path, downscale=64) File "/data/cancer/work/repositories/CLAM/create_patches.py", line 15, in stitching heatmap = StitchPatches(file_path, downscale=downscale, bg_color=(0,0,0), alpha=-1, draw_grid=False) File "/data/Github/CLAM/wsi_core/wsi_utils.py", line 225, in StitchPatches img_shape = dset[0].shape File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "/data/cancer/env/lib/python3.9/site-packages/h5py/_hl/dataset.py", line 779, in __getitem__ if self._fast_read_ok and (new_dtype is None): File "/data/cancer/env/lib/python3.9/site-packages/h5py/_hl/base.py", line 532, in __get__ value = obj.__dict__[self.func.__name__] = self.func(obj) File "/data/cancer/env/lib/python3.9/site-packages/h5py/_hl/dataset.py", line 761, in _fast_read_ok self._extent_type == h5s.SIMPLE File "/data/cancer/env/lib/python3.9/site-packages/h5py/_hl/base.py", line 532, in __get__ value = obj.__dict__[self.func.__name__] = self.func(obj) File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "/data/cancer/env/lib/python3.9/site-packages/h5py/_hl/dataset.py", line 652, in _extent_type return self.id.get_space().get_simple_extent_type() File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "h5py/h5d.pyx", line 348, in h5py.h5d.DatasetID.get_space RuntimeError: Unable to synchronously get dataspace (invalid dataset identifier)
Using conda environment provided in the env.yml. I wonder if the WSI file I'm using is broken, or I'm using a wrong version of h5py?
The text was updated successfully, but these errors were encountered:
You can use exiftool or tifffile to check your WSI file.
exiftool
tifffile
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cmdline:
python repositories/CLAM/create_patches.py --source ../image_and_convert/wsi --patch_size 224 --seg --patch --stitch --save_dir patch --no_auto_skip
output:
Using conda environment provided in the env.yml.
I wonder if the WSI file I'm using is broken, or I'm using a wrong version of h5py?
The text was updated successfully, but these errors were encountered: