https://github.com/zz990099/depth_anything_cpp
DepthAnything算法的c++实现，包括TensorRT、RKNN、OnnxRuntime三种硬件平台(推理引擎).
https://github.com/zz990099/depth_anything_cpp
cpp deploy depthanything depthanythingv2 implementation onnxruntime rknn tensorrt
Last synced: 13 days ago
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DepthAnything算法的c++实现，包括TensorRT、RKNN、OnnxRuntime三种硬件平台(推理引擎).
- Host: GitHub
- URL: https://github.com/zz990099/depth_anything_cpp
- Owner: zz990099
- Created: 2025-03-12T11:02:29.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2025-03-12T15:24:47.000Z (about 1 year ago)
- Last Synced: 2025-05-12T23:34:55.879Z (10 months ago)
- Topics: cpp, deploy, depthanything, depthanythingv2, implementation, onnxruntime, rknn, tensorrt
- Language: C++
- Homepage:
- Size: 703 KB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# depth_anything_cpp
## About This Project
该项目是`DepthAnything`算法的c++实现，包括`TensorRT`、`RKNN`、`OnnxRuntime`三种硬件平台(推理引擎).
## Features
1. 支持多种推理引擎: `TensorRT`、`RKNN`、`OnnxRuntime`
2. 支持异步、多核推理，算法吞吐量较高，特别是`RK3588`平台
## Demo
| 
| 
|
|:----------------------------------------:|:----:|
| **input image** | **depth in color** |
| nvidia-3080-laptop | qps | cpu |
|:---------:|:---------:|:----------------:|
| depth_anything_v2(fp16) | **197** | 120% |
| depth_anything_v2(fp16) - ***async*** | **208** | 180% |
| jetson-orin-nx-16GB | qps | cpu |
|:---------:|:---------:|:----------------:|
| depth_anything_v2(fp16) | **39** | 27% |
| depth_anything_v2(fp16) - ***async*** | **41** | 34% |
| orangepi-5-plus-16GB | qps | cpu |
|:---------:|:---------:|:----------------:|
| depth_anything_v2(fp16) | **1.2** | 14% |
| depth_anything_v2(fp16) - ***async*** | **3.2** | 33% |
| intel-i7-11800H | qps | cpu |
|:---------:|:---------:|:----------------:|
| depth_anything_v2(fp32) | **3.9** | 800% |
## Usage
### Download Project
下载git项目
```bash
git clone git@github.com:zz990099/depth_anything_cpp.git
cd depth_anything_cpp
git submodule init && git submodule update
```
### Build Enviroment
使用docker构建工作环境
```bash
cd depth_anything_cpp
bash easy_deploy_tool/docker/build_docker.sh --platform=jetson_trt8_u2004 # or jetson_trt8_u2204, nvidia_gpu, rk3588
bash easy_deploy_tool/docker/into_docker.sh
```
### Compile Codes
在docker容器内，编译工程. 使用 `-DENABLE_*`宏来启用某种推理框架，可用的有: `-DENABLE_TENSORRT=ON`、`-DENABLE_RKNN=ON`、`-DENABLE_ORT=ON`，可以兼容。
```bash
cd /workspace
mdkir build && cd build
cmake .. -DBUILD_TESTING=ON -DENABLE_TENSORRT=ON
make -j
```
### Convert Model
从[link](https://drive.google.com/drive/folders/1Bq0OS5VF7xYcu3oBl_rsGzjJ7u2IfHt2?usp=drive_link)下载模型，放到`/workspace/models`文件夹下，在docker容器内，运行模型转换脚本：
```bash
cd /workspace
bash tools/cvt_onnx2trt.sh
```
### Run Test Cases
运行测试用例，具体测试用例请参考代码。
```bash
cd /workspace/build
./bin/simple_tests --gtest_filter=*correctness
# 限制GLOG输出
GLOG_minloglevel=1 ./bin/simple_tests --gtest_filter=*speed
```
## References
- [DepthAnythingV1](https://github.com/LiheYoung/Depth-Anything)
- [DepthAnythingV2](https://github.com/DepthAnything/Depth-Anything-V2)
- [EasyDeployTool](https://github.com/zz990099/EasyDeployTool)