We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Detection Results:
tensor([[381.4724, 159.2195, 103.1477, 82.2390]])
tensor([[520.8309, 289.8120, 245.9102, 80.2827]])
tensor([[218.0719, 153.7255, 107.6187, 56.7821]])
tensor([[523.6737, 27.4129, 87.7642, 51.0593]])
tensor([[469.1229, 102.6855, 95.1033, 63.5487]])
tensor([[605.0400, 381.5883, 84.6944, 46.1900]])
tensor([[462.3659, 221.3884, 219.9605, 66.9211]])
Instead of printing this can you modify your code to print the detected Objects and their count in the place of Detection Results
The text was updated successfully, but these errors were encountered:
Good idea! I'll consider adding it.
Sorry, something went wrong.
how to use my own training?
No branches or pull requests
Detection Results:
tensor([[381.4724, 159.2195, 103.1477, 82.2390]])
tensor([[520.8309, 289.8120, 245.9102, 80.2827]])
tensor([[218.0719, 153.7255, 107.6187, 56.7821]])
tensor([[523.6737, 27.4129, 87.7642, 51.0593]])
tensor([[469.1229, 102.6855, 95.1033, 63.5487]])
tensor([[605.0400, 381.5883, 84.6944, 46.1900]])
tensor([[462.3659, 221.3884, 219.9605, 66.9211]])
Instead of printing this can you modify your code to print the detected Objects and their count in the place of Detection Results
The text was updated successfully, but these errors were encountered: