Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars
kandi X-RAY | Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars Summary
kandi X-RAY | Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars Summary
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars is a Python library. Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars has no bugs, it has no vulnerabilities and it has low support. However Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars build file is not available and it has a Non-SPDX License. You can download it from GitHub.
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars
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Support
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars is current.
Quality
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars has no bugs reported.
Security
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars releases are not available. You will need to build from source code and install.
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars and discovered the below as its top functions. This is intended to give you an instant insight into Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars implemented functionality, and help decide if they suit your requirements.
- Main function .
- Run system evaluation .
- Compute the metrics for the predictedDS .
- downloads the best audio
- Test for the dcase2 style .
- Download audio from csv file .
- Compute the metrics for the groundtruth dataset .
- Format audio using ffmpeg .
- Trims an audio file to a given duration .
- Wrapper for multi - run_audio_method .
Get all kandi verified functions for this library.
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars Key Features
No Key Features are available at this moment for Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars.
Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars Examples and Code Snippets
No Code Snippets are available at this moment for Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars.
Community Discussions
No Community Discussions are available at this moment for Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars
You can download it from GitHub.
You can use Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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