An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
GNU Affero General Public License v3.0
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The confidence score is reduce when it have two text prompt #153
Hello, I am facing an issue with the text prompt. When I input one prompt like "person" or "worker" the confidence score is higher when I input two or more text prompts (ex. "worker, box"). How can I fix that? Thank you
Hello, I am facing an issue with the text prompt. When I input one prompt like "person" or "worker" the confidence score is higher when I input two or more text prompts (ex. "worker, box"). How can I fix that? Thank you