Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/nearthlab/SiamMaskCpp
C++ Implementation of SiamMask
https://github.com/nearthlab/SiamMaskCpp
computer-vision deep-learning pytorch-cpp real-time video-object-segmentation visual-tracking
Last synced: about 2 months ago
JSON representation
C++ Implementation of SiamMask
- Host: GitHub
- URL: https://github.com/nearthlab/SiamMaskCpp
- Owner: nearthlab
- License: mit
- Created: 2019-09-11T06:20:04.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-02-28T01:26:06.000Z (over 4 years ago)
- Last Synced: 2024-07-01T19:42:31.161Z (3 months ago)
- Topics: computer-vision, deep-learning, pytorch-cpp, real-time, video-object-segmentation, visual-tracking
- Language: C++
- Homepage: https://github.com/foolwood/SiamMask
- Size: 6.58 MB
- Stars: 97
- Watchers: 9
- Forks: 23
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# SiamMaskCpp
* C++ Implementation of [SiamMask](https://github.com/foolwood/SiamMask)
* Porting slogan:
* numpy operations → cv::Mat operations
* CNNs → torch::jit::script::Module
* Other tensor operations → torch::Tensor operations
* Faster than the original implementation (speed increased from 22fps to 40fps when tested with a single NVIDIA GeForce GTX 1070)
# Requirements
* OpenCV >= 3 (tested with 3.4.0)
* PyTorch >= 1 (tested with 1.3.0)
# Convert a SiamMask model to Torch scripts
You can use the models (with the refine module) trained with the original repository [foolwood/SiamMask](https://github.com/foolwood/SiamMask) for inference in C++. Just Follow the instruction in [jiwoong-choi/SiamMask](https://github.com/jiwoong-choi/SiamMask#converting-siammask-model-with-the-refine-module-to-torch-scripts) to convert your own models to Torch script files.
# Download pretrained Torch scripts
Or you can download pretrained Torch scripts. These files are converted from the pretrained models ([SiamMask_DAVIS.pth](http://www.robots.ox.ac.uk/~qwang/SiamMask_DAVIS.pth) and [SiamMask_VOT.pth](http://www.robots.ox.ac.uk/~qwang/SiamMask_VOT.pth)) in the original repository.
```bash
git clone --recurse-submodules https://github.com/nearthlab/SiamMaskCpp
cd SiamMaskCpp
mkdir models
cd models
wget https://github.com/nearthlab/SiamMaskCpp/releases/download/v1.0/SiamMask_DAVIS.tar.gz
wget https://github.com/nearthlab/SiamMaskCpp/releases/download/v1.0/SiamMask_VOT.tar.gz
tar -xvzf SiamMask_DAVIS.tar.gz
tar -xvzf SiamMask_VOT.tar.gz
```
Before building demo, make sure the following command prints out the correct path to torch install directory.
```bash
python3 -c "import torch; print(torch.__path__[0])"
# /path/to/lib/python3.x/site-packages/torch
```
# How to build demo
```bash
cd SiamMaskCpp
mkdir build
cd build
# specify -DTORCH_PATH=/path/to/lib/python3.x/site-packages/torch if cmake fails to detect PyTorch automatically
cmake ..
make
# Move the executable file to the repository directory
mv demo ..
```
# How to run demo
```bash
cd SiamMaskCpp
./demo -c config_davis.json -m models/SiamMask_DAVIS tennis
./demo -c config_vot.json -m models/SiamMask_VOT tennis
```