from segment_anything import ( build_sam, build_sam_hq, SamPredictor ) -> 修改为 from segment_anything import ( sam_model_registry, sam_hq_model_registry, SamPredictor ) 2. 添加新的超参数: parser.add_argument( "--sam_version", type=str, default="vit_b", required=False, help="SAM ...
sam_model = sam_model_registry['vit_b'](checkpoint='sam_vit_b_01ec64.pth') * 创建优化器 optimizer = torch.optim.Adam(sam_model.mask_decoder.parameters()) * 定义loss,此处以mseloss为示例,也可以参考论文【sam 论文解读】选择focalloss或者其他loss loss_fn = torch.nn.MSELoss() * 训练流程...
Expand All@@ -42,6 +43,12 @@ def load_my_model( sam.to(device=device) predictor=SamPredictor(sam) returnpredictor elifmodel_name=="sam_hq": fromsegment_anything_hqimportsam_model_registry,SamPredictor sam=sam_model_registry[sam_config](checkpoint=sam_checkpoint_file) ...
在ModelScope的pipeline中使用SAM-HQ模型，首先需要确保您已经安装了相关的库和依赖项。然后，您可以按照...
[ECCV2024] Official implementation of Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes - CrowdSAM/crowdsam/model.py at main · FelixCaae/CrowdSAM
resolved "https://registry.npmmirror.com/@babel/helper-wrap-function/-/helper-wrap-function-7.22.5.tgz#44d205af19ed8d872b4eefb0d2fa65f45eb34f06" integrity sha512-bYqLIBSEshYcYQyfks8ewYA8S30yaGSeRslcvKMvoUk6HHPySbxHq9YRi6ghhzEU+yhQv9bP/jXnygkStOcqZw== dependencies: ...
Are there any issues transferring files from nx9 custom to nx11 custom? I would like to move all my existing customizations to the latest environment without having to recreate. Will I lose any functionality by doing so?
Model CheckpointsThree HQ-SAM model versions of the model are available with different backbone sizes. These models can be instantiated by runningfrom segment_anything import sam_model_registry sam = sam_model_registry["<model_type>"](checkpoint="<path/to/checkpoint>") ...
sam = sam_model_registry[self.sam_type](ckpt_path) I believe here should be: sam = sam_model_registry[self.sam_type](checkpoint=ckpt_path) Mind trying and writing a PR if it works?Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment As...
Three HQ-SAM model versions of the model are available with different backbone sizes. These models can be instantiated by runningfrom segment_anything import sam_model_registry sam = sam_model_registry["<model_type>"](checkpoint="<path/to/checkpoint>") ...