You can draw the corresponding bounding box into the image and save it according to the result file (txt format) run by the tracker.

Last update: Dec 06, 2022

Related tags

Deep Learning SOTDrawRect

Overview

SOTDrawRect

The purpose of this repo is to provide evaluation API of Current Single Object Tracking Dataset, including

Install

git clone https://github.com/Giveupfree/SOTDrawRect.git
pip install -r requirements.txt
cd toolkit/utils/
python setup.py build_ext --inplace

Update toolkit(optional)

The contents of the entire toolkit folder can be replaced directly from pysot-toolkit

Download Dataset

Download json files used in our toolkit baidu pan or Google Drive

Put CVRP13.json, OTB100.json, OTB50.json in OTB100 dataset directory (you need to copy Jogging to Jogging-1 and Jogging-2, and copy Skating2 to Skating2-1 and Skating2-2 or using softlink)

The directory should have the below format

| -- OTB100/

| -- Basketball

| ......

| -- Woman

| -- OTB100.json

| -- OTB50.json

| -- CVPR13.json
Put all other jsons in the dataset directory like in step 1

Usage

Draw rectangular boxes

cd /path/to/SOTDrawRect
python draw_rect.py \                     
	--dataset_dir /path/to/dataset/root \		# dataset path
	--dataset VOT2018 \				# dataset name(VOT2018, VOT2016, OTB100, GOT10k)
	--tracker_result_dir /path/to/tracker/dir \	# tracker dir
    	--format pdf \                              # save fomat (pdf,png,jpg)
	--trackers ours ECO UPDT SiamRPNpp \ 			# tracker names 
    	--save_dir \                                  # save dir

Draw a bounding box for a video sequence

cd /path/to/SOTDrawRect
python draw_rect.py \    
    	-- video videoname \                 
	--dataset_dir /path/to/dataset/root \		# dataset path
	--dataset VOT2018 \				# dataset name(VOT2018, VOT2016, OTB100, GOT10k)
	--tracker_result_dir /path/to/tracker/dir \	# tracker dir
    	--format pdf \                              # save fomat (pdf,png,jpg)
	--trackers ours ECO UPDT SiamRPNpp \ 			# tracker names 
    	--save_dir \                                  # save dir

You can draw the corresponding bounding box into the image and save it according to the result file (txt format) run by the tracker.

Related tags

Overview

SOTDrawRect

Install

Update toolkit(optional)

Download Dataset

Usage

Draw rectangular boxes

Draw a bounding box for a video sequence

Owner

Huiyiqianli

Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

Collection of sports betting AI tools.

A modular domain adaptation library written in PyTorch.

A deep learning network built with TensorFlow and Keras to classify gender and estimate age.

Repository for training material for the 2022 SDSC HPC/CI User Training Course

PyTorch implementation of PSPNet segmentation network

(CVPR 2022) A minimalistic mapless end-to-end stack for joint perception, prediction, planning and control for self driving.

This repository lets you interact with Lean through a REPL.

For holding anime-related object classification and detection models

Noether Networks: meta-learning useful conserved quantities

Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

Official Implementation of SWAGAN: A Style-based Wavelet-driven Generative Model

Safe Policy Optimization with Local Features

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

Official Pytorch implementation of Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR 2022)

Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

Towards Representation Learning for Atmospheric Dynamics (AtmoDist)

Exploration-Exploitation Dilemma Solving Methods