Endoscopy out of body Sample App Data
Resource
Endoscopy out of body Sample App Data

Holoscan Sample App data for Endoscopy out of body detection

Holoscan Sample App Data for AI Endoscopy Out of Body Detection

This resource contains a detection model which classifies if the input frame of an endoscopy video is inside the body or out of the body, as well as a sample surgical video.

Model

Note: The provided model is in ONNX format. It will automatically be converted into a TensorRT model (.engine) the first time it is processed by a Holoscan application.

Video Data

The sample data, provided by Activ Surgical, is an .mp4 video that consists of scenes from both in the body and out of the body during an endoscopic procedure.

Note: the .mp4 file must be converted into a GXF tensor file using the convert_video_to_gxf_entities.py script on GitHub to be used with the VideoStreamReplayer Holoscan operator.

License

Refer to the license agreement for use of the sample data.

Publisher
Latest Version20230127
UpdatedApril 19, 2023 UTC
Compressed Size111.7 MB

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.