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detect . py with for loop source
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hello, I want to make a detect.py but I want to use multi source by using for loop, how can I do that, because all time I got source does not exist
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You could use torch hub and load the model to a variable, then loop your images and feed them to the model, writing or displaying the results.
@jehan88 👋 Hello! Thanks for asking about handling inference results. YOLOv5 🚀 PyTorch Hub models allow for simple model loading and inference in a pure python environment without using detect.py.
Simple Inference Example
This example loads a pretrained YOLOv5s model from PyTorch Hub as model and passes an image for inference. 'yolov5s' is the YOLOv5 'small' model. For details on all available models please see the README. Custom models can also be loaded, including custom trained PyTorch models and their exported variants, i.e. ONNX, TensorRT, TensorFlow, OpenVINO YOLOv5 models.
import torch
# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s') # yolov5n - yolov5x6 official model
# 'custom', 'path/to/best.pt') # custom model
# Images
im = 'https://ultralytics.com/images/zidane.jpg' # or file, Path, URL, PIL, OpenCV, numpy, list
# Inference
results = model(im)
# Results
results.print() # or .show(), .save(), .crop(), .pandas(), etc.
results.xyxy[0] # im predictions (tensor)
results.pandas().xyxy[0] # im predictions (pandas)
# xmin ymin xmax ymax confidence class name
# 0 749.50 43.50 1148.0 704.5 0.874023 0 person
# 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
results.pandas().xyxy[0].value_counts('name') # class counts (pandas)
# person 2
# tie 1
See YOLOv5 PyTorch Hub Tutorial for details.
Good luck 🍀 and let us know if you have any other questions!
👋 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
- Contact Us – https://ultralytics.com/contact
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!