PyTorch Hub Connection Error

[ZhangChen0212]

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

YOLOv5 Component

PyTorch Hub

Bug

Traceback (most recent call last):
File "/usr/lib/python3.9/urllib/request.py", line 1346, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "/usr/lib/python3.9/http/client.py", line 1255, in request
self._send_request(method, url, body, headers, encode_chunked)
File "/usr/lib/python3.9/http/client.py", line 1301, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "/usr/lib/python3.9/http/client.py", line 1250, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "/usr/lib/python3.9/http/client.py", line 1010, in _send_output
self.send(msg)
File "/usr/lib/python3.9/http/client.py", line 950, in send
self.connect()
File "/usr/lib/python3.9/http/client.py", line 1417, in connect
super().connect()
File "/usr/lib/python3.9/http/client.py", line 921, in connect
self.sock = self._create_connection(
File "/usr/lib/python3.9/socket.py", line 843, in create_connection
raise err
File "/usr/lib/python3.9/socket.py", line 831, in create_connection
sock.connect(sa)
ConnectionRefusedError: [Errno 111] Connection refused

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/chen/Desktop/test.py", line 10, in
torch.hub.download_url_to_file('https://ultralytics.com/images/' + f, f) # download 2 images
File "/usr/local/lib/python3.9/dist-packages/torch/hub.py", line 394, in download_url_to_file
u = urlopen(req)
File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.9/urllib/request.py", line 523, in open
response = meth(req, response)
File "/usr/lib/python3.9/urllib/request.py", line 632, in http_response
response = self.parent.error(
File "/usr/lib/python3.9/urllib/request.py", line 555, in error
result = self._call_chain(*args)
File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
result = func(*args)
File "/usr/lib/python3.9/urllib/request.py", line 747, in http_error_302
return self.parent.open(new, timeout=req.timeout)
File "/usr/lib/python3.9/urllib/request.py", line 517, in open
response = self._open(req, data)
File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
result = func(*args)
File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error [Errno 111] Connection refused>

Environment

Raspberry Pi OS (64 bit)

Python 3.9.2

matplotlib==3.5.1
numpy==1.22.3
opencv-python==4.5.5.64
Pillow==9.1.0
PyYAML==5.3.1
requests==2.25.1
scipy==1.8.0
torch==1.8.1
torchvision==0.9.1
tqdm==4.64.0
tensorboard==2.8.0
pandas==1.4.2
seaborn==0.11.2

Minimal Reproducible Example

import torch

# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s', pretrained=True)

# Images
imgs = ['https://ultralytics.com/images/zidane.jpg']  # batch of images

# Inference
results = model(imgs)

# Results
results.print()
results.save()  # or .show()

results.xyxy[0]  # img1 predictions (tensor)
results.pandas().xyxy[0]  # img1 predictions (pandas)
#      xmin    ymin    xmax   ymax  confidence  class    name
# 0  749.50   43.50  1148.0  704.5    0.874023      0  person
# 1  433.50  433.50   517.5  714.5    0.687988     27     tie
# 2  114.75  195.75  1095.0  708.0    0.624512      0  person
# 3  986.00  304.00  1028.0  420.0    0.286865     27     tie

Additional

Everything is fine in terminal. I expect it to run in python environment, but it failed.
Already went through some issues related, none of those advices help, they cause different errors.
Any reply will be greatly appreciated.

Are you willing to submit a PR?

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

[github-actions]

👋 Hello @ZhangChen0212, 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

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):

• Google Colab and Kaggle 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 (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]

@ZhangChen0212 works for me. You might want to check your internet connection and try again.

[ZhangChen0212]

@ZhangChen0212 works for me. You might want to check your internet connection and try again.

My internet connection is fine. Any other advices?
Can I somehow modify the code to use the model in the local path?

[glenn-jocher]

@ZhangChen0212 yes you can point torch.hub.load() to a local yolov5/ directory and a local model as well. See PyTorch Hub tutorial for details:

YOLOv5 Tutorials

• Train Custom Data  🚀 RECOMMENDED
• Tips for Best Training Results  ☘️ RECOMMENDED
• Weights & Biases Logging  🌟 NEW
• Roboflow for Datasets, Labeling, and Active Learning  🌟 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
• Architecture Summary  ⭐ NEW

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

[github-actions]

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

• Wiki – https://github.com/ultralytics/yolov5/wiki
• Tutorials – https://docs.ultralytics.com/yolov5
• Docs – https://docs.ultralytics.com

Access additional Ultralytics ⚡ resources:

• Ultralytics HUB – https://ultralytics.com/hub
• Vision API – https://ultralytics.com/yolov5
• About Us – https://ultralytics.com/about
• Join Our Team – https://ultralytics.com/work
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