最近中科院团队开源了FastSAM模型,能以50倍的速度达到与原始SAM相近的效果,并实现25FPS的实时推理。 该成果在Github已经获得2.4K+次星标,在Twitter、PaperswithCode等平台也受到了广泛关注。 相关论文预印本现已发表。 以下内容由投稿者提供 《Fast Segment Anything》 代码:https://githu
This project has also implemented this ICNet compression process directly in Tensorflow. The compression is working, however which "compression scheme" to use is still somewhat ambiguous when reading the original ICNet paper. This is still a work in progress. PSPNet Baseline Implementation In order ...
🎯 Zero-Shot Segmentation:Enrich your visual data with zero-shot image segmentation model such asSegment Anything Modeland more. 🔗 Learn More. Extract Features From Dataset The notebooks in this section show how to run fastdup on your own embeddings in combination with frameworks like ONNX ...
Usemax_distto control the maximum distance you care about. If the actual distance is larger thanmax_dist, editdist will return early, with the valuemax_dist+1. This is a performance optimization – for example if anything above distance 2 is uninteresting to your application, call editdist ...
recognition tensorflow model detection keras tf2 imagenet attention coco clip tf visualizing ddpm stable-diffusion segment-anything Resources Readme License MIT license Activity Stars 616 stars Watchers 22 watching Forks 95 forks Report repository Releases 51 cspnext_pretrained Latest Jan 13,...
# (or segment-pair-level) classification tasks where we need a fixed # dimensional representation of the segment. with tf.variable_scope("pooler"): # We "pool" the model by simply taking the hidden state corresponding # to the first token. We assume that this has been pre-trained first_...