The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Apache License 2.0
46.98k
stars
5.56k
forks
source link
Is the SAM Demo hosted in the https://segment-anything.com/demo use Pytorch models or ONNX models as the prompt encoder and mask decoder #633
Hi I just came across the facebook's segment anything model,
According to the web demo mentioned in GitHub, it uses the PyTorch model to generate embeddings and then uses onnx model to prompt the encoding part. but the accuracy is low when compared with the hosted demo in the meta's site https://segment-anything.com/demo.
Hi I just came across the facebook's segment anything model,
According to the web demo mentioned in GitHub, it uses the PyTorch model to generate embeddings and then uses onnx model to prompt the encoding part. but the accuracy is low when compared with the hosted demo in the meta's site https://segment-anything.com/demo.
appreciate an answer regarding this