# SiameseFC-Pytorch-Demo

**Repository Path**: zhangao-sudo/SiameseFC-Pytorch-Demo

## Basic Information

- **Project Name**: SiameseFC-Pytorch-Demo
- **Description**: No description available
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2022-01-14
- **Last Updated**: 2022-02-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Pytorch implementation of SiamFC 

## Declaration
I can't find the original version of this code(maybe the author had deleted it or i am blind).

If anyone find the original version,please give me the link in Issues, thank you!

I have added some code about DEMO ON YOUR OWN VIDEO, see in demo_online_video.py

## How to run SiamseFC on your own video

I have put the weight-file in folder "models", as you can see in  ***'models\siamfc_pretrained.pth'***

If you want to  run SiamseFC on your own video

- First, use **video2folder.py** script to convert your video to the folder with all frames
	-  modify the path of **video_path** (for video needed to be processed) and set the path of **frame_path**(the folder that save the frames from video)


- Then,  modify the below code in **demo_online_video.py**
	-  **Put your frame path in video_dir variable**

```
if __name__ == "__main__":
    # Fire(main)
    video_dir = ''
    gpu_id = 0
    model_path = 'models\siamfc_pretrained.pth'
    main(video_dir, gpu_id, model_path)

```


## Reference
[1] Bertinetto, Luca and Valmadre, Jack and Henriques, Joo F and Vedaldi, Andrea and Torr, Philip H S
		Fully-Convolutional Siamese Networks for Object Tracking
		In ECCV 2016 workshops