Closed yyy1998-i closed 1 month ago
If you're not familiar with ONNX, you can use the PyTorch inference engine directly. For guidance, check out this example in the X-AnyLabeling repository.
If you're not familiar with ONNX, you can use the PyTorch inference engine directly. For guidance, check out this example in the X-AnyLabeling repository.
Hello author, I did not find The ONNX Export of the SAM in X-AnyLabeling/tools/onnx_exporter. I want to import my own sam model. Will you consider releasing it in the future?
If you're not familiar with ONNX, you can use the PyTorch inference engine directly. For guidance, check out this example in the X-AnyLabeling repository.
Hello author, I did not find The ONNX Export of the SAM in X-AnyLabeling/tools/onnx_exporter. I want to import my own sam model. Will you consider releasing it in the future?
You can refer this.
If you're not familiar with ONNX, you can use the PyTorch inference engine directly. For guidance, check out this example in the X-AnyLabeling repository.
Hello author, I did not find The ONNX Export of the SAM in X-AnyLabeling/tools/onnx_exporter. I want to import my own sam model. Will you consider releasing it in the future?
You can refer this.
Thank you very much!
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Description
Hello, thank you for your excellent achievement, I want to have my own Sam model is loaded into the X-ray AnyLabeling inside, I use netron print sam_model_best_large_ssl_buidnewprocess decoder. Onnx input and output, What should I do if my model has no output from masks? Also, num_points how to define numbers (unlike fixed input image_embeddings: [1,256,64,64]), how can I modify and export the onnx model, I hope you can guide me.
Use case
No response
Additional
No response
Are you willing to submit a PR?