YOLOv5 requires TensorBoard?

jiapei-nexera · July 8, 2022, 5:41pm

TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/
[libprotobuf FATAL google/protobuf/stubs/common.cc:83] This program was compiled against version 3.9.2 of the Protocol Buffer runtime library, which is not compatible with the installed version (3.19.4).  Contact the program author for an update.  If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library.  (Version verification failed in "bazel-out/k8-opt/bin/tensorflow/core/framework/tensor_shape.pb.cc".)
terminate called after throwing an instance of 'google::protobuf::FatalException'
  what():  This program was compiled against version 3.9.2 of the Protocol Buffer runtime library, which is not compatible with the installed version (3.19.4).  Contact the program author for an update.  If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library.  (Version verification failed in "bazel-out/k8-opt/bin/tensorflow/core/framework/tensor_shape.pb.cc".)

Glenn · July 9, 2022, 2:23pm

@jiapei-nexera yes TensorBoard is currently required to view your training results. TensorBoard is automatically available as part of the default torch installation and is imported by torch here:

github.com

ultralytics/yolov5/blob/526e650553819dbff67897b9c752c4072e989823/utils/loggers/init.py#L11


      
          # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
          """
          Logging utils
          """
          
          
import os
          import warnings
          
          
import pkg_resources as pkg
          import torch
          from torch.utils.tensorboard import SummaryWriter
          
          
from utils.general import colorstr, cv2, emojis
          from utils.loggers.wandb.wandb_utils import WandbLogger
          from utils.plots import plot_images, plot_results
          from utils.torch_utils import de_parallel
          
          
LOGGERS = ('csv', 'tb', 'wandb')  # text-file, TensorBoard, Weights & Biases
          RANK = int(os.getenv('RANK', -1))
          
          
try:

It appears you may have environment problems. 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):

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Docker Image. See Docker Quickstart Guide

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