ROAR-internal
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- United States of America
- https://github.com/augcog
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Segment-and-Track-Anything
Segment-and-Track-Anything PublicForked from z-x-yang/Segment-and-Track-Anything
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) fo…
Jupyter Notebook
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cvat
cvat PublicForked from cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
TypeScript
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IAC_db3_to_mcap_converter_with_topic_extractor
IAC_db3_to_mcap_converter_with_topic_extractor PublicForked from Chrislai502/IAC_db3_to_mcap_converter_with_topic_extractor
Extracts Desired ROS2 mcap bags
Python
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IAC_dataset_maker
IAC_dataset_maker PublicForked from Chrislai502/IAC_dataset_maker
A simple repository with a pipeline to identify and extract important camera data to be labelled.
Python
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bngseg
bngseg PublicForked from adkala/bngseg
Lane Segmentation via BeamNG from existing map
Jupyter Notebook
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Repositories
- IAC_dataset_maker Public Forked from Chrislai502/IAC_dataset_maker
A simple repository with a pipeline to identify and extract important camera data to be labelled.
FHL-VIVE-Center-for-Enhanced-Reality/IAC_dataset_maker’s past year of commit activity - IAC_db3_to_mcap_converter_with_topic_extractor Public Forked from Chrislai502/IAC_db3_to_mcap_converter_with_topic_extractor
Extracts Desired ROS2 mcap bags
FHL-VIVE-Center-for-Enhanced-Reality/IAC_db3_to_mcap_converter_with_topic_extractor’s past year of commit activity - cvat Public Forked from cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
FHL-VIVE-Center-for-Enhanced-Reality/cvat’s past year of commit activity - Segment-and-Track-Anything Public Forked from z-x-yang/Segment-and-Track-Anything
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.
FHL-VIVE-Center-for-Enhanced-Reality/Segment-and-Track-Anything’s past year of commit activity