IndexError: list index out of range
RadiantJeral opened this issue Β· 5 comments
π Bug
Traceback (most recent call last):
File "/home/lucifer/LibSrcs/pycharm-community-2018.3.2/helpers/pydev/pydevd.py", line 1741, in
main()
File "/home/lucifer/LibSrcs/pycharm-community-2018.3.2/helpers/pydev/pydevd.py", line 1735, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "/home/lucifer/LibSrcs/pycharm-community-2018.3.2/helpers/pydev/pydevd.py", line 1135, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "/home/lucifer/LibSrcs/pycharm-community-2018.3.2/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/my_run/run_local/e2e_faster_rcnn_R_50_C4_1x/train_net_e2e_faster_rcnn_R_50_C4_1x.py", line 201, in
main()
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/my_run/run_local/e2e_faster_rcnn_R_50_C4_1x/train_net_e2e_faster_rcnn_R_50_C4_1x.py", line 194, in main
model = train(cfg, args.local_rank, args.distributed)
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/my_run/run_local/e2e_faster_rcnn_R_50_C4_1x/train_net_e2e_faster_rcnn_R_50_C4_1x.py", line 94, in train
arguments,
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/engine/trainer.py", line 72, in do_train
for iteration, (images, targets, _) in enumerate(data_loader, start_iter):
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 537, in next
return self._process_next_batch(batch)
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 577, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
IndexError: Traceback (most recent call last):
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 99, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 99, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/dataset.py", line 85, in getitem
return self.datasets[dataset_idx][sample_idx]
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/data/datasets/coco.py", line 94, in getitem
target = target.clip_to_image(remove_empty=True)
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/structures/bounding_box.py", line 223, in clip_to_image
return self[keep]
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/structures/bounding_box.py", line 208, in getitem
bbox.add_field(k, v[item])
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/structures/segmentation_mask.py", line 555, in getitem
selected_instances = self.instances.getitem(item)
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/structures/segmentation_mask.py", line 464, in getitem
selected_polygons.append(self.polygons[i])
IndexError: list index out of range
To Reproduce
reproducible code:
from maskrcnn_benchmark.config import cfg
from maskrcnn_benchmark.data.build import make_data_loader
config_path = '/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/my_run/run_local/' \
'e2e_faster_rcnn_R_50_C4_1x/e2e_faster_rcnn_R_50_C4_1x.yaml'
cfg.merge_from_file(config_path)
dl = make_data_loader(cfg)
for iteration, (images, targets) in enumerate(dl):
print(iteration)
Dataset [ConcatDataset] has no categories attribute, labels.json file won't be created
Traceback (most recent call last):
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3319, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-2-173e8ccc2b92>", line 1, in <module>
runfile('/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/my_code/dev/02_debugs/debug_dataloader.py', wdir='/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/my_code/dev/02_debugs')
File "/home/lucifer/LibSrcs/pycharm-community-2018.3.2/helpers/pydev/_pydev_bundle/pydev_umd.py", line 198, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute the script
File "/home/lucifer/LibSrcs/pycharm-community-2018.3.2/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/my_code/dev/02_debugs/debug_dataloader.py", line 8, in <module>
for iteration, (images, targets, _) in enumerate(dl, 0):
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 551, in __next__
return self._process_next_batch(batch)
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 577, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
IndexError: Traceback (most recent call last):
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 99, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 99, in <listcomp>
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/lucifer/.virtualenvs/maskrcnn-benchmark/lib/python3.6/site-packages/torch/utils/data/dataset.py", line 85, in __getitem__
return self.datasets[dataset_idx][sample_idx]
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/data/datasets/coco.py", line 94, in __getitem__
target = target.clip_to_image(remove_empty=True)
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/structures/bounding_box.py", line 223, in clip_to_image
return self[keep]
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/structures/bounding_box.py", line 208, in __getitem__
bbox.add_field(k, v[item])
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/structures/segmentation_mask.py", line 555, in __getitem__
selected_instances = self.instances.__getitem__(item)
File "/home/lucifer/Projects/05_maskrcnn-benchmark/maskrcnn-benchmark/maskrcnn_benchmark/structures/segmentation_mask.py", line 464, in __getitem__
selected_polygons.append(self.polygons[i])
IndexError: list index out of range
Expected behavior
I have tried follow by #881,#1053,#725 and so on. But they seems not work for my situation.
any help is appreciated
Environment
Collecting environment information...
PyTorch version: 1.0.0.dev20190409
Is debug build: No
CUDA used to build PyTorch: 9.0.176
OS: Ubuntu 16.04.5 LTS
GCC version: (Ubuntu 5.4.0-6ubuntu1~16.04.12) 5.4.0 20160609
CMake version: version 3.5.1
Python version: 3.6
Is CUDA available: Yes
CUDA runtime version: Could not collect
GPU models and configuration: GPU 0: GeForce GTX 1070
Nvidia driver version: 384.130
cuDNN version: Could not collect
Versions of relevant libraries:
[pip3] numpy==1.17.4
[pip3] torch-nightly==1.0.0.dev20190409
[pip3] torchvision-nightly==0.2.3
[conda] Could not collect:
Additional context
I meet the same situation and I modify the followed file.py:
maskrcnn_benchmark/structures/segmentation_mask.py
maskrcnn_benchmark/modeling/balanced_positive_negative_sampler.py
substitue for all torch.bool with torch.uint8.
It still doesn't work and the error message isοΌ
RuntimeError: empty is not implemented for type CUDABoolType.
My pytorch vision is 1.0 too.
@FuckThatcher I have exactly the same behavior. Changing from torch.bool to torch.uint8 "fixes" the list index out of range error but results in the RuntimeError: empty is not implemented for type CUDABoolType. Could you already solve this?
@Jinksi isn't this pull request #4 not exactly the otherway round as @RadiantJeral explained up here?
@FuckThatcher I have exactly the same behavior. Changing from
torch.booltotorch.uint8"fixes" thelist index out of rangeerror but results in theRuntimeError: empty is not implemented for type CUDABoolType.Could you already solve this?
@Jinksi isn't this pull request #4 not exactly the otherway round as @RadiantJeral explained up here?YesοΌI meet the same runtime error after modification as in coco_eval.py
rles = [mask_util.encode(np.array(mask[0, :, :, np.newaxis], dtype=np.uint8, order="F"))[0]
for mask in mask ]
@FuckThatcher I have exactly the same behavior. Changing from
torch.booltotorch.uint8"fixes" thelist index out of rangeerror but results in theRuntimeError: empty is not implemented for type CUDABoolType.Could you already solve this?@Jinksi isn't this pull request #4 not exactly the otherway round as @RadiantJeral explained up here?
You need continue to modify coco_eval.py like below:
rles = [
mask_util.encode(np.array(mask[0, :, :, np.newaxis], dtype=np.uint8, order="F"))[0]
for mask in mask ]