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Error 'AttributeError: 'str' object has no attribute 'get'' at running train.py #1479

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Yasin40 opened this issue Nov 23, 2020 · 5 comments
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@Yasin40
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Yasin40 commented Nov 23, 2020

Hi,
According this tutorial i decided train my custom data but i got this error:
``python` train.py --batch 16 --epochs 25 --data roadside1.yaml --weights ./weights/yolov5s.pt
Your branch is behind 'origin/master' by 25 commits, and can be fast-forwarded.
(use "git pull" to update your local branch)

Using torch 1.7.0 CUDA:0 (GeForce GTX 1060 6GB, 6077MB)

Namespace(adam=False, batch_size=16, bucket='', cache_images=False, cfg='', data='roadside1.yaml', device='', epochs=25, evolve=False, exist_ok=False, global_rank=-1, hyp='data/hyp.scratch.yaml', image_weights=False, img_size=[640, 640], local_rank=-1, log_imgs=16, multi_scale=False, name='exp', noautoanchor=False, nosave=False, notest=False, project='runs/train', rect=False, resume=False, save_dir='runs/train/exp4', single_cls=False, sync_bn=False, total_batch_size=16, weights='./weights/yolov5s.pt', workers=8, world_size=1)
Start Tensorboard with "tensorboard --logdir runs/train", view at http://localhost:6006/
Hyperparameters {'lr0': 0.01, 'lrf': 0.2, '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}
Traceback (most recent call last):
File "train.py", line 490, in
train(hyp, opt, device, tb_writer, wandb)
File "train.py", line 69, in train
check_dataset(data_dict) # check
File "/home/anpr/adel/clones/yolov5/utils/general.py", line 80, in check_dataset
val, s = dict.get('val'), dict.get('download')
AttributeError: 'str' object has no attribute `'get'``

anyone can help me?

@github-actions
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github-actions bot commented Nov 23, 2020

Hello @Yasin40, 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 screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

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):

Status

CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

@Yasin40
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Yasin40 commented Nov 23, 2020

Hello @Yasin40, 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 screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

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):

Status

CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

I run this command but seems all requirments installed.

Requirement already satisfied: Cython in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 4)) (0.29.21)
Requirement already satisfied: matplotlib>=3.2.2 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 5)) (3.3.3)
Requirement already satisfied: numpy>=1.18.5 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 6)) (1.19.4)
Requirement already satisfied: opencv-python>=4.1.2 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 7)) (4.4.0.46)
Requirement already satisfied: pillow in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 8)) (8.0.1)
Requirement already satisfied: PyYAML>=5.3 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 9)) (5.3.1)
Requirement already satisfied: scipy>=1.4.1 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 10)) (1.5.4)
Requirement already satisfied: tensorboard>=2.2 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 11)) (2.4.0)
Requirement already satisfied: torch>=1.6.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 12)) (1.7.0)
Requirement already satisfied: torchvision>=0.7.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 13)) (0.8.1)
Requirement already satisfied: tqdm>=4.41.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from -r requirements.txt (line 14)) (4.52.0)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from matplotlib>=3.2.2->-r requirements.txt (line 5)) (2.4.7)
Requirement already satisfied: cycler>=0.10 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from matplotlib>=3.2.2->-r requirements.txt (line 5)) (0.10.0)
Requirement already satisfied: kiwisolver>=1.0.1 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from matplotlib>=3.2.2->-r requirements.txt (line 5)) (1.3.1)
Requirement already satisfied: python-dateutil>=2.1 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from matplotlib>=3.2.2->-r requirements.txt (line 5)) (2.8.1)
Requirement already satisfied: grpcio>=1.24.3 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (1.33.2)
Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (1.7.0)
Requirement already satisfied: protobuf>=3.6.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (3.14.0)
Requirement already satisfied: six>=1.10.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (1.15.0)
Requirement already satisfied: setuptools>=41.0.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (50.3.1.post20201107)
Requirement already satisfied: absl-py>=0.4 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (0.11.0)
Requirement already satisfied: requests<3,>=2.21.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (2.25.0)
Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (0.4.2)
Requirement already satisfied: werkzeug>=0.11.15 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (1.0.1)
Requirement already satisfied: google-auth<2,>=1.6.3 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (1.23.0)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (0.35.1)
Requirement already satisfied: markdown>=2.6.8 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from tensorboard>=2.2->-r requirements.txt (line 11)) (3.3.3)
Requirement already satisfied: typing-extensions in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from torch>=1.6.0->-r requirements.txt (line 12)) (3.7.4.3)
Requirement already satisfied: future in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from torch>=1.6.0->-r requirements.txt (line 12)) (0.18.2)
Requirement already satisfied: dataclasses in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from torch>=1.6.0->-r requirements.txt (line 12)) (0.6)
Requirement already satisfied: chardet<4,>=3.0.2 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard>=2.2->-r requirements.txt (line 11)) (3.0.4)
Requirement already satisfied: idna<3,>=2.5 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard>=2.2->-r requirements.txt (line 11)) (2.10)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard>=2.2->-r requirements.txt (line 11)) (1.26.2)
Requirement already satisfied: certifi>=2017.4.17 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard>=2.2->-r requirements.txt (line 11)) (2020.6.20)
Requirement already satisfied: requests-oauthlib>=0.7.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2->-r requirements.txt (line 11)) (1.3.0)
Requirement already satisfied: cachetools<5.0,>=2.0.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2->-r requirements.txt (line 11)) (4.1.1)
Requirement already satisfied: pyasn1-modules>=0.2.1 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2->-r requirements.txt (line 11)) (0.2.8)
Requirement already satisfied: rsa<5,>=3.1.4; python_version >= "3.5" in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2->-r requirements.txt (line 11)) (4.6)
Requirement already satisfied: oauthlib>=3.0.0 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2->-r requirements.txt (line 11)) (3.1.0)
Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /home/anpr/adel/envs/yolo/lib/python3.8/site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard>=2.2->-r requirements.txt (line 11)) (0.4.8)

@glenn-jocher
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Your branch is behind 'origin/master' by 25 commits, and can be fast-forwarded.
(use "git pull" to update your local branch)

You may want to follow the recommendations printed to your screen.

@alexhe101
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the yaml.load() returned str not dict
checke your yaml file

@github-actions
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github-actions bot commented Jan 9, 2021

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

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