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

v objective diffusion inference code for PyTorch.

U^2-Net - Portrait matting This repository explores possibilities of using the original u^2-net model for portrait matting.

Feature extraction made simple with torchextractor

BTC-Generator - BTC Generator With Python

CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search

Official repository for the paper, MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding.

Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)

EM-POSE 3D Human Pose Estimation from Sparse Electromagnetic Trackers.

Code-free deep segmentation for computational pathology

Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021

Cards Against Humanity AI

The implementation of DeBERTa

Catch-all collection of generative art made using processing

graph-theoretic framework for robust pairwise data association

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition - NeurIPS2021

Neural Nano-Optics for High-quality Thin Lens Imaging

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

The official PyTorch implementation of Curriculum by Smoothing (NeurIPS 2020, Spotlight).

R-package accompanying the paper "Dynamic Factor Model for Functional Time Series: Identification, Estimation, and Prediction"