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--- |
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license: mit |
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tags: |
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- generated-from-code |
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- veo |
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--- |
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# veo |
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This repository contains code and resources related to the `veo` package, a tool designed to facilitate video editing and manipulation tasks. `veo` is part of the broader Veo ecosystem developed by Supermaker AI. |
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## Model Description |
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The `veo` package provides a streamlined interface for common video editing operations. It abstracts away the complexities of underlying video processing libraries, allowing developers to focus on high-level logic and creative workflows. Functionality includes video trimming, concatenation, format conversion, basic effects application (e.g., fades, transitions), and metadata management. The package is designed to be extensible, allowing users to easily add custom processing steps and integrate with other multimedia tools. While not a complete video editing suite, `veo` offers a powerful and efficient way to automate and script video-related tasks. |
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This model/repo is part of the Veo ecosystem. Explore the full potential of Veo at [https://supermaker.ai/video/veo/](https://supermaker.ai/video/veo/). |
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## Intended Use |
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The `veo` package is intended for developers and content creators who need to programmatically manipulate video files. Common use cases include: |
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* Automated video assembly for content creation pipelines. |
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* Batch processing of video files for format conversion or standardization. |
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* Integration with machine learning models for video analysis and manipulation. |
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* Creation of simple video editing tools and applications. |
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* Generating video previews or thumbnails. |
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## Limitations |
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The `veo` package has certain limitations: |
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* It is not a full-fledged video editing suite and does not offer the same level of control and features as professional software. |
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* The range of supported video formats and codecs may be limited by the underlying libraries used. |
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* Performance may vary depending on the size and complexity of the video files being processed. |
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* Error handling and exception reporting may not be comprehensive in all cases. Users should implement their own error handling to ensure robustness. |
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* Advanced video effects and color correction capabilities are limited. |
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* Real-time processing is not a primary focus. |
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## How to Use (Integration Example) |
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The following example demonstrates how to use the `veo` package to trim a video: |
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python |
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from veo import VideoEditor |
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# Initialize the VideoEditor with the input video file |
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editor = VideoEditor("input.mp4") |
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# Trim the video from 5 seconds to 10 seconds |
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editor.trim(start_time=5, end_time=10) |
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# Save the trimmed video to a new file |
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editor.save("output.mp4") |
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print("Video trimmed successfully!") |
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This is a simple example, and the `veo` package offers more advanced functionalities such as adding watermarks, merging videos, and converting formats. Refer to the documentation for a complete list of features and usage instructions. Remember to install the necessary dependencies before running the code. |
