How to get the class name from PyToch Hub

[shershunov]

❔Question

How can I get only the class name of the detected object?

[github-actions[bot]]

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[glenn-jocher]

@EkelviNistars see YOLOv5 PyTorch Hub tutorial for getting class names of detections:

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[shershunov]

The tutorial says how to print the class name, and I need to assign a name to a variable.

[glenn-jocher]

@EkelviNistars in python you can assign a value to a variable by using the equals sign:

x = 1

[shershunov]

Thank you so much, I really didn't know how to assign a value to a variable. (sarcasm)

[github-actions[bot]]

👋 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:

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[yakhyo]

I have read the PyTorch Hub tutorial but I could not find any clue how to get the class name from the predictions. Could you guide me how to get the class name (predicted class name) from the predictions while using Torch Hub. The output looks like this in my case:

[glenn-jocher]

@yakhyo 👋 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!

[tannaom29]

[glenn-jocher]

@tannaom29 it looks like you are using the YOLOv5 predict method, which returns detection results with class labels, confidence scores, and bounding box coordinates. To access the predicted class name from the results, you can use the following code snippet:

results = model(im)
class_name = results.names[int(results.xyxy[0][0][-1])]
print(class_name)

This code retrieves the class name associated with the first detected object in the results. The int(results.xyxy[0][0][-1]) retrieves the class index, and results.names provides the class names.

For more details, you can refer to the YOLOv5 PyTorch Hub Tutorial.

Feel free to reach out if you have any further questions or need additional assistance!