Hi,
That’s not a question but image processing spam 
First an issue
then google
and
finally
3 Likes
Oh – that’s pretty cool.
It seems like I should be able to get something like a semantic embedding vector for each segment out of this model (e.g. a descriptor of what each segment component is). I see
#1x256x64x64 tensor 0..255 segments??
SamPredictor.features = model.image_encoder(input_image)
Can this be used to cluster segments by their semantic content? Or track (find similar) segments between video frames?
Now
Can somebody can run SAM model in opencv with good result?
Good result is max square error between onnx and opencv inference is less than 10e-7
models are here