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gtangg12 / samesh

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annotation file #1

Closed Frank-Wang-wow closed 3 weeks ago

Frank-Wang-wow commented 1 month ago

I would like to express my sincere appreciation for the excellent work you have done. Would you please share the annotation file of your dataset or direct me to where I might access it? It would be an invaluable help to my work, and I would be extremely grateful for your support.

gtangg12 commented 1 month ago

Hi, I've attached a link to the annotations. The file contains the videos displayed to the test subject for both experiments (SAMesh vs ShapeDiam and ablations on SAM2 input modalities) as well as the labels from AWS SageMaker Ground Truth. Let me know if you have trouble accessing it.

https://drive.google.com/file/d/1UJMIdFZ1kUnV_ESm1j4z7fhzMRt-5kdh/view?usp=sharing

Frank-Wang-wow commented 1 month ago

Thank you for sharing the annotations and for your prompt reply. I have reviewed the file, but have some difficulty fully understanding it and I'm unsure how to utilize them. Would it be possible to provide the original 3D files, with annotations specifying the category of each point or mesh in the 3D model? This would greatly help in clarifying the structure and content of the annotations. I appreciate your support and look forward to your response. Best regards.

---Original--- From: "George @.> Date: Mon, Sep 16, 2024 06:08 AM To: @.>; Cc: "Little @.**@.>; Subject: Re: [gtangg12/samesh] annotation file (Issue #1)

Hi, I've attached a link to the annotations. The file contains the videos displayed to the test subject for both experiments (SAMesh vs ShapeDiam and ablations on SAM2 input modalities) as well as the labels from AWS SageMaker Ground Truth. Let me know if you have trouble accessing it.

https://drive.google.com/file/d/1UJMIdFZ1kUnV_ESm1j4z7fhzMRt-5kdh/view?usp=sharing

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

gtangg12 commented 1 month ago

Hi, I currently do not have the multi view renders or segmented meshes, but you can reproduce them by running the code on the provided dataset (see notebooks for examples). There is also an example in notebooks on how to parse the annotation files.

gtangg12 commented 3 weeks ago

Closed since no follow up