Comments (2)
benjamin-kramer
commented on May 20, 2024
Note - Running the model with CPU+ANE (instead of .all compute units, which defaults to GPU and ANE) improves the running time (at least on an iPhone12), but it doesn't solve this issue.
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benjamin-kramer
commented on May 20, 2024
Note 2 -
There is a piece of code here that looks like it should allow points to be ignored, but it doesn't work (setting a label of -1 interferes with the detection of points with 0 / 1 labels).
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Related Issues (19)
- Training Code HOT 1
- One MNN deployment of EdgeSAM may helps
- could you provide the train code? HOT 1
- License HOT 3
- X-AnyLabeling-EdgeSAM demo support HOT 1
- training code
- Query on ONNX Encoder Inference Time: Samsung A20 with Android 11
- Finetuning
- Is it possible to export an onnx model with input size 1024*720?
- whole image HOT 1
- Segment Anything CPP Wrapper for macOS
- Request for NCNN Integration in EdgeSAM Project HOT 1
- 关于RPN Module HOT 1
- How would you segment everything in an image and output masks HOT 3
- 模型无法下载下呀？ HOT 1
- Grounded-Edge-SAM demo support HOT 1
- tensorrt&rknn&altas inference HOT 2
- Segmentation labeling tool ISAT has supported EdgeSAM. HOT 2
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