how to print result each class in #detect.py/161

[awandaily]

Hello sir, can you help me? i want to print result each class in detection, because I want to multiply the number of objects (n) with different values ​​for each class..

example : in frame result , person = 4 , bus =1 ... i want to multiple person *2 and bus * 4... the desired result becomes person = 8 and bus = 4

@glenn-jocher

[github-actions]

👋 Hello @awandaily, 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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[glenn-jocher]

@awandaily see YOLOv5 PyTorch Hub tutorial for handling results in a python environment:

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!

[awandaily]

which part should i see sir?? @glenn-jocher .. thanks for your response .. sory i'm newbie :(

[glenn-jocher]

see YOLOv5 PyTorch Hub tutorial for handling results in a python environment:

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!

[awandaily]

if not using pytorch infrence is it possible? can edit in detect.py for my problem? @glenn-jocher

[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.

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