Closed Utkarsha666 closed 1 year ago
👋 Hello @Utkarsha666, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.
If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.
If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.
Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.
We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!
Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.
Check out our YOLOv8 Docs for details and get started with:
pip install ultralytics
previously, on my other datasets I was able to train successful with the Gradient warning, but now while training on that data with the command is also giving a same error.
python "D:/Computer Vision/yolov5/train.py" --img 640 --batch 4 --epochs 3
--data data.yaml --weights yolov5s.pt
here is a small part of log message;
hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5 runs in Comet
TensorBoard: Start with 'tensorboard --logdir ..\yolov5\runs\train', view at http://localhost:6006/
Overriding model.yaml nc=80 with nc=1
from n params module arguments
0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 18816 models.common.C3 [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 2 115712 models.common.C3 [128, 128, 2]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 3 625152 models.common.C3 [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 1182720 models.common.C3 [512, 512, 1]
9 -1 1 656896 models.common.SPPF [512, 512, 5]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 361984 models.common.C3 [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 90880 models.common.C3 [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 296448 models.common.C3 [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1182720 models.common.C3 [512, 512, 1, False]
24 [17, 20, 23] 1 16182 models.yolo.Detect [1, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
Model summary: 214 layers, 7022326 parameters, 7022326 gradients, 15.9 GFLOPs
Transferred 343/349 items from yolov5s.pt
AMP: checks passed
optimizer: SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.0005), 60 bias
train: Scanning D:\Vision\Yolo detection\drone_dataset\train\labels...: 0%| | 0/1012 [00:00<?, ?it/s]Traceback (most recent call last):
File "<string>", line 1, in <module>
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
Traceback (most recent call last):
File "<string>", line 1, in <module>
Traceback (most recent call last):
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "<string>", line 1, in <module>
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
Traceback (most recent call last):
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
_fixup_main_from_path(data['init_main_from_path'])
_fixup_main_from_path(data['init_main_from_path'])
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
main_content = runpy.run_path(main_path,
return _run_module_code(code, init_globals, run_name,
return _run_module_code(code, init_globals, run_name,
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
exec(code, run_globals)
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
_run_code(code, mod_globals, init_globals,
exec(code, run_globals)
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
import torch
raise err
exec(code, run_globals)
raise err
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_cnn_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
Traceback (most recent call last):
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "<string>", line 1, in <module>
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
return _run_module_code(code, init_globals, run_name,
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
raise err
raise err
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
Traceback (most recent call last):
Traceback (most recent call last):
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "<string>", line 1, in <module>
File "<string>", line 1, in <module>
File "<string>", line 1, in <module>
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
exitcode = _main(fd, parent_sentinel)
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
_fixup_main_from_path(data['init_main_from_path'])
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
main_content = runpy.run_path(main_path,
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
main_content = runpy.run_path(main_path,
-----------------------------------------------------------------------------------------------------------------------------------
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.
For additional resources and information, please see the links below:
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLO 🚀 and Vision AI ⭐
@Utkarsha666 it looks like you are encountering an error related to the paging file size on Windows. This issue is typically caused by insufficient virtual memory. You can try increasing the size of your paging file to see if it resolves the problem. Additionally, make sure you have enough free space on your disk where the paging file is located.
You can follow these steps to adjust the paging file size:
After adjusting the paging file size, reboot your system for the changes to take effect and then try running your YOLOv5 training command again.
Let me know if this helps! If you encounter any further issues, feel free to ask for assistance.
Search before asking
YOLOv5 Component
No response
Bug
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies. train: Scanning D:\Computer Vision\fall\labels... 1100 images, 106 backgrounds, 0 corrupt: 98%|█████████▊| 1206/1232 [Traceback (most recent call last): File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch__init.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch__init.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\ init.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\ init__.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
train: Scanning D:\Computer Vision\fall\labels... 1126 images, 106 backgrounds, 0 corrupt: 100%|██████████| 1232/1232 [
train: WARNING D:\Computer Vision\fall\images\057.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\067.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\078.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\094.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\132.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\138.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\183.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\193.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\254.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\264.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\266.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\300.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\307.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\057.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\067.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\078.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\094.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\132.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\138.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\183.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\193.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\254.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\264.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\266.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\300.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\307.jpg: corrupt JPEG restored and saved
train: New cache created: D:\Computer Vision\fall\labels.cache
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\ init__.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Environment
Minimal Reproducible Example
python "D:/Computer Vision/yolov5/train.py" --img 640 --batch 4 --epochs 3 --data data.yaml --weights yolov5s.pt --img 640 --batch 4 --epochs 3 --data data.yaml --weights yolov5s.pt
tAdditional
I tried reducing image size to 128, reduced batch_size to 4 still the same error. I can't even do keyboard interrupt while the console is throwing a error message.
I have checked if my torch is using GPU or not by using the following:-
Are you willing to submit a PR?