Closed LightSun closed 10 months ago
Perhaps it's a display issue with OpenCV (clicking the close button might solve it).
Have you tried testing it using the API instead of the executable demo?
@dinglufe I compile your lib self, Why did you say may be display issue with OpenCV? SAM demo I tried online, but mask don't have offset. I tried to read you c++ code and didn't find 'Which cause the offset '.
@dinglufe I found the SAM script of export onnx have this.
dummy_inputs = {
"image_embeddings": torch.randn(1, embed_dim, *embed_size, dtype=torch.float),
"point_coords": torch.randint(low=0, high=1024, size=(1, 5, 2), dtype=torch.float),
"point_labels": torch.randint(low=0, high=4, size=(1, 5), dtype=torch.float),
"mask_input": torch.randn(1, 1, *mask_input_size, dtype=torch.float),
"has_mask_input": torch.tensor([1], dtype=torch.float),
"orig_im_size": torch.tensor([1500, 2250], dtype=torch.float),
}
But your 'export_pre_module.py' assign the image size 'image_size = (1024, 720)'. Is this the cause ?
@dinglufe I fixed it by change image_size
Hello , you are write a good project of SAM. I'd like it. But i met a problem: mask has Y offset. can you help me ?
platform
model
c++ envs:
py envs: