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https://github.com/zxgravity/CIA


https://github.com/zxgravity/CIA

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README

        

# CIA
Code for ECCV2022 paper 'Hierarchical Feature Embedding for Visual Tracking', based on **PyTorch**.

### [Tracking Libraries](pytracking)

Libraries for implementing and evaluating visual trackers. It includes

* All common **tracking** and **video object segmentation** datasets.
* Scripts to **analyse** tracker performance and obtain standard performance scores.
* General building blocks, including **deep networks**, **optimization**, **feature extraction** and utilities for **correlation filter** tracking.

### [Training Framework: LTR](ltr)

**LTR** (Learning Tracking Representations) is a general framework for training your visual tracking networks. It is equipped with

* All common **training datasets** for visual object tracking and segmentation.
* Functions for data **sampling**, **processing** etc.
* Network **modules** for visual tracking.
* And much more...

## Trained models

## Installation

#### Clone the GIT repository.
```bash
git clone https://github.com/zxgravity/CIA.git
```

#### Clone the submodules.
In the repository directory, run the commands:
```bash
git submodule update --init
```
#### Install dependencies
Run the installation script to install all the dependencies. You need to provide the conda install path (e.g. ~/anaconda3) and the name for the created conda environment (here ```pytracking```).
```bash
bash install.sh conda_install_path pytracking
```
This script will also download the default networks and set-up the environment.

**Note:** The install script has been tested on an Ubuntu 16.04 system. In case of issues, check the [detailed installation instructions](INSTALL.md).

#### Let's test it!
Activate the conda environment and run the script pytracking/run_tracker.py to run CIA18.
```bash
conda activate pytracking
cd pytracking
python run_tracker.py CIA CIA18
```

## Acknowledgments
* Thanks for the project [pytracking](https://github.com/visionml/pytracking)
* Thanks for the great [PreciseRoIPooling](https://github.com/vacancy/PreciseRoIPooling) module.