('int' object is not iterable) running detect from a python script

[S7eezy]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Detection

Bug

Hello,

python detect.py --weights x --source y works well from command line.

But whenever I try to use it from a python script i get the following error :

File "...\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
    return func(*args, **kwargs)
  File "...\yolov5\detect.py", line 100, in run
    model.warmup(imgsz=(1, 3, *imgsz), half=half)  # warmup
TypeError: 'int' object is not iterable

Script example :

import yolov5.detect as detect

if __name__ == "__main__":
    torch.cuda.empty_cache()
    detect.run(weights=".../best.pt", source=".../images")

I'm using subprocess for now to get around this issue but using the output is not friendly at all 🤣

Keep up this awesome project !

Environment

yolo: YOLOv5 v6.0-133-g4fb6dd4 torch 1.10.0+cu102 CUDA:0 (NVIDIA GeForce RTX 2080 Ti, 11264MiB)
OS: win10
py: 3.8.9

Minimal Reproducible Example

import yolov5.detect as detect

if __name__ == "__main__":
    torch.cuda.empty_cache()
    detect.run(weights=".../best.pt", source=".../images")

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @S7eezy, 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.

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Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ 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):

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• 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 (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

@S7eezy good news 😃! Your original issue may now be fixed ✅ in PR #5948 by @d57montes. To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

[glenn-jocher]

@S7eezy BTW for python workflows you may want to use YOLOv5 PyTorch Hub inference rather than calling detect.py. See PyTorch Hub tutorial for details:

YOLOv5 Tutorials

• Train Custom Data  🚀 RECOMMENDED
• Tips for Best Training Results  ☘️ RECOMMENDED
• Weights & Biases Logging  🌟 NEW
• Supervisely Ecosystem  🌟 NEW
• Multi-GPU Training
• PyTorch Hub  ⭐ NEW
• TFLite, ONNX, CoreML, TensorRT Export 🚀
• Test-Time Augmentation (TTA)
• Model Ensembling
• Model Pruning/Sparsity
• Hyperparameter Evolution
• Transfer Learning with Frozen Layers  ⭐ NEW
• TensorRT Deployment

Good luck 🍀 and let us know if you have any other questions!

[mohammad69h94]

@S7eezy good news 😃! Your original issue may now be fixed ✅ in PR #5948 by @d57montes. To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

Hi. I have updated yolov5, But I have this issue still:

My code:
detect.run(source='licensePlate/img2.jpg', weights='licensePlate/runs/train/licensePlateLocModel_yolov5s/weights/best.onnx')

following Error is:
model.warmup(imgsz=(1, 3, *imgsz), half=half) # warmup
TypeError: 'int' object is not iterable

[glenn-jocher]

@mohammad69h94 your code is out of date, update your code.