Comments (3)
Thank you for your further exploration in this field. Looking forward to the specific evaluation results.
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Here is the Segment Anything CPP Wrapper for macOS.
This code is originated from Segment Anything CPP Wrapper and implemented on macOS app RectLabel. We customized the original code so that getMask() uses the previous mask result called as low_res_logits and retain the previous mask array for undo/redo actions.
We hope this macOS version would help to develop the iOS version.
Please let us know your opinion.
from fastsam.
Improved "Create polygon using SAM" feature so that you can label pixels using the pixels option. You can label Segment Anything 1 Billion (SA-1B) like dataset by yourself.
from fastsam.
Related Issues (20)
- Problems during training
- Assertion Error
- Model returns None when used in Google Colab
- text model is not correct box
- How to convert annotation files of the SA-1B dataset into the format compatible with YOLOv8
- about network: FastSAM is only to train a YOLOV8-seg? HOT 17
- SA-1B dataset HOT 1
- Working with FastSAM results HOT 2
- visualize mask branch
- Why the number of parameters of FastSAM different from Yolov8-seg?
- fine-tuning FastSAM with medical CT scans
- Hello, I am trying to reproduce your validation data on the coco dataset, but I have encountered the following problems
- Hello, I am using the verification code published by you, but I have encountered many problems. Could you please publish a usage instruction document Thank you.
- whole image predict
- Return Nothing With CUDA DEVICE
- Finetuning the CLIP model used in FastSAM
- Segment by similarity to a reference image
- Where is the tensorrt C++ deployment
- Wrong license in readme after commit 279ceab2b656801917fd2d84e182a80f5d20bf8a HOT 1
- object proposal cocoeval - how did you get your SAM result? HOT 2
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