【课程设计】使用TensorRT部署SAM分割一切大模型C++源码+部署步骤.zip

# Overview [中文-windows](README_zh_windows.md) <p float="left"> <img src="truck.gif?raw=true" width="100%" /> </p> download [translated onnx model](https://drive.google.com/drive/folders/1xZ7XpyKGx0Fg-t81SLND56vC2TEQ4otN?usp=sharing) # tutorials ``` vim_h trt model tested on GPU 3060 Ti, tests ok. tutorials.ipynb tutorials_vim_h.ipynb ``` # how to export vim_h model how_to_export_vim_h_model.ipynb ``` # Divide the embeding model into 2 parts, named as part1 and part2 # The decoder model remains unchanged # export_embedding_model_part_1() # export_embedding_model_part_2() # export_sam_h_model() # onnx_model_example2() ``` # FP32 or FP16 ``` you can not set FP16 value in export.h, if gpu have enough mems. ```