"Function pthread_mutex_init failed" when i follow Readme.md

[cc8476]

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Question

when i follow Reame.md,and type cli :
python3 train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml --batch-size 16
it show:

train: weights=, cfg=yolov5n.yaml, data=coco128.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=10, batch_size=32, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
github: skipping check (not a git repository), for updates see https://github.com/ultralytics/yolov5
YOLOv5 🚀 2022-11-21 Python-3.9.13 torch-1.13.0 CPU

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
TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/
2022-11-22 16:50:49.836150: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
ClearML Task: overwriting (reusing) task id=3069522aa80240e9b9400fa2d90b5f4b
2022-11-22 16:51:13,619 - clearml.Task - INFO - No repository found, storing script code instead
WARNING:tensorflow:Please fix your imports. Module tensorflow.python.training.tracking.util has been moved to tensorflow.python.checkpoint.checkpoint. The old module will be deleted in version 2.11.
ClearML results page: https://app.clear.ml/projects/45a9759bd3534173949c9fde317d98ad/experiments/3069522aa80240e9b9400fa2d90b5f4b/output/log
ClearML Monitor: GPU monitoring failed getting GPU reading, switching off GPU monitoring
COMET WARNING: Comet credentials have not been set. Comet will default to offline logging. Please set your credentials to enable online logging.
COMET WARNING: Comet has disabled auto-logging functionality as it has been imported after the following ML modules: tensorboard, torch. Metrics and hyperparameters can still be logged using comet_ml.log_metrics() and comet_ml.log_parameters()
COMET INFO: Using '/Users/cc/work/Codes/yolov5-master_22/.cometml-runs' path as offline directory. Pass 'offline_directory' parameter into constructor or set the 'COMET_OFFLINE_DIRECTORY' environment variable to manually choose where to store offline experiment archives.
COMET ERROR: Failed to set run cmd args

                 from  n    params  module                                  arguments
  0                -1  1      1760  models.common.Conv                      [3, 16, 6, 2, 2]
  1                -1  1      4672  models.common.Conv                      [16, 32, 3, 2]
  2                -1  1      4800  models.common.C3                        [32, 32, 1]
  3                -1  1     18560  models.common.Conv                      [32, 64, 3, 2]
  4                -1  2     29184  models.common.C3                        [64, 64, 2]
  5                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]
  6                -1  3    156928  models.common.C3                        [128, 128, 3]
  7                -1  1    295424  models.common.Conv                      [128, 256, 3, 2]
  8                -1  1    296448  models.common.C3                        [256, 256, 1]
  9                -1  1    164608  models.common.SPPF                      [256, 256, 5]
 10                -1  1     33024  models.common.Conv                      [256, 128, 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     90880  models.common.C3                        [256, 128, 1, False]
 14                -1  1      8320  models.common.Conv                      [128, 64, 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     22912  models.common.C3                        [128, 64, 1, False]
 18                -1  1     36992  models.common.Conv                      [64, 64, 3, 2]
 19          [-1, 14]  1         0  models.common.Concat                    [1]
 20                -1  1     74496  models.common.C3                        [128, 128, 1, False]
 21                -1  1    147712  models.common.Conv                      [128, 128, 3, 2]
 22          [-1, 10]  1         0  models.common.Concat                    [1]
 23                -1  1    296448  models.common.C3                        [256, 256, 1, False]
 24      [17, 20, 23]  1    115005  models.yolo.Detect                      [80, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [64, 128, 256]]
OMP: Error #179: Function pthread_mutex_init failed:
OMP: System error #22: Invalid argument
/Users/cc/opt/anaconda3/lib/python3.9/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 23 leaked semaphore objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
zsh: abort      python3 train.py --data coco128.yaml --epochs 10 --weights '' --cfg   32

here is my environment :
macbook pro 2020 :macos Monterey , intel Core i5
tensorflow 2.10.0
torch 1.13.0
python 3.9.13

Thanks a lot!!

Additional

No response

[github-actions]

👋 Hello @cc8476, 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.

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Requirements

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

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[glenn-jocher]

@cc8476 it appears you may have environment problems. One thing I see is that you are using both Comet and ClearML logging, which I'm not sure is a good idea. I'd try to disable/uninstall one first.

Please ensure you meet all dependency requirements if you are attempting to run YOLOv5 locally. If in doubt, create a new virtual Python 3.9 environment, clone the latest repo (code changes daily), and pip install requirements.txt again from scratch.

💡 ProTip! Try one of our verified environments below if you are having trouble with your local environment.

Requirements

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

Models and datasets download automatically from the latest YOLOv5 release when first requested.

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

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.

[cc8476]

@glenn-jocher
it works after i install VirtualEnv.
Thanks a lot!

[glenn-jocher]

@cc8476 glad to hear that installing VirtualEnv helped resolve the issue! Credit also goes to the active YOLOv5 community and the hard work of the Ultralytics team in maintaining the repository. If you run into any further issues or have additional questions, don't hesitate to ask!