Alternatives and similar repositories for sam-cpp-macos

Users that are interested in sam-cpp-macos are comparing it to the libraries listed below

• dinglufe / segment-anything-cpp-wrapper
  ☆285Updated last year
• vietanhdev / samexporter
  Exporting Segment Anything, MobileSAM, and Segment Anything 2 into ONNX format for easy deployment
  ☆360Updated last year
• ibaiGorordo / ONNX-SAM2-Segment-Anything
  Python scripts for the Segment Anythin 2 (SAM2) model in ONNX
  ☆263Updated last year
• DmitryYurov / SAM2ONNX
  Export Segment-Anything into ONNX format and use it from C++ with OpenCV and OpenVINO
  ☆17Updated 2 years ago
• axinc-ai / segment-anything-2
  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained mode…
  ☆67Updated 2 months ago
• AIDajiangtang / Segment-Anything-CPP
  segment anything（SAM） for CPP Inference
  ☆30Updated last year
• Aimol-l / SAM2Export
  try to export sam2 to onnx.
  ☆71Updated 4 months ago
• mingj2021 / segment-anything-tensorrt
  ☆79Updated last year
• Aimol-l / OrtInference
  Using OnnxRuntime to inference yolov10,yolov10+SAM ,yolov10+bytetrack , SAM2 and paddleOCR by c++ .
  ☆155Updated 4 months ago
• cyrillkuettel / Libtorch-MobileSAM-Example
  This software allows to run MobileSAM, without python.
  ☆21Updated last year
• BooHwang / segment_anything_tensorrt
  Accelerate segment anything model inference using Tensorrt 8.6.1.6
  ☆98Updated last year
• DanielSarmiento04 / yolov10cpp
  Implementation of yolo v10 in c++ std 17 over opencv and onnxruntime
  ☆89Updated 11 months ago
• huggingface / segment-anything-2
  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained mode…
  ☆83Updated 11 months ago
• AndreyGermanov / sam_onnx_full_export
  This repository shows how to solve ONNX export issue in Segment Anything model
  ☆59Updated last year
• fabio-sim / Depth-Anything-ONNX
  ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
  ☆379Updated 11 months ago
• akbartus / MobileSAM-in-the-Browser
  Demonstration of MobileSAM in the browser enabled through ONNX runtime web
  ☆116Updated 2 months ago
• qiaoyu1002 / Inpaint-Anything
  Add MobileSAM support for Inpaint anything using Segment Anything and inpainting models.
  ☆53Updated 2 years ago
• ChuRuaNh0 / FastSam_Awsome_TensorRT
  ☆125Updated 2 years ago
• ibaiGorordo / ONNX-YOLO-World-Open-Vocabulary-Object-Detection
  Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX.
  ☆58Updated last year
• FeiGeChuanShu / segment-anything-ncnn
  an example of segment-anything infer by ncnn
  ☆124Updated 2 years ago
• yformer / EfficientTAM
  Efficient Track Anything
  ☆629Updated 8 months ago
• czg1225 / SlimSAM
  [NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim
  ☆345Updated 6 months ago
• lyxlplhy / Sam2Onnx_Inference
  ☆14Updated 6 months ago
• chongzhou96 / EdgeSAM
  Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
  ☆1,058Updated 3 months ago
• rhysdg / vision-at-a-clip
  Low-latency ONNX and TensorRT based zero-shot classification and detection with contrastive language-image pre-training based prompts
  ☆43Updated last year
• xinghaochen / TinySAM
  [AAAI 2025] Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"
  ☆511Updated 7 months ago
• mohamedsamirx / YOLOv12-ONNX-CPP
  YOLOv12 Inference Using CPP and ONNX Runtime
  ☆47Updated 6 months ago
• ylqi / Count-Anything
  This method uses Segment Anything and CLIP to ground and count any object that matches a custom text prompt, without requiring any point …
  ☆170Updated 2 years ago
• spacewalk01 / nanosam-cpp
  C++ TensorRT Implementation of NanoSAM
  ☆43Updated last year
• spacewalk01 / depth-anything-tensorrt
  C++ TensorRT implementation of Depth-Anything V1, V2
  ☆405Updated 6 months ago