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Hi, output from onnx format is of shape ([(1, 37, 21504), (1, 32, 256, 256)]. If I post process them using below method
where conf = 0.4, iou -> 0,=.9, and agnostic_nms = False like in the FastSAM .p…
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### Describe the issue
When I try to run an ONNX model with a dynamic shape (even on a single axis) on the CoreML backend of ORT 1.13.1, on a recent machine (macbook air M1 with macOS 12.5), I get th…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### YOLOv8 Component
_No response_
### Bug
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Since FastSAM uses Yolo detector, is it possible to get the mask labels?
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I have tried to use a trained YOLOv8 models weights with FastSAM but it is raising an error about mismatching. I know you guys working on a fine-tune/train code right now but I was just curious about …
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Are you also planning combining this model to Grounding-DINO by IDEA?
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Hi,
Can someone help in understanding how to give variable input image sizes to FastSAM model exported in onnx format, currently it takes only (1024,1024) size image which is leading to mismatch in …
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Is it possible with the text prompt that it detects multiple objects ? (e.g., "people" will find all people in the image)
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I tried to test some other prompt-words such as black eyes, wood, sands in text mode with the sample picture in huggingface, but wrong results were given. Does it is possibly because the sample prompt…