Track, Check, Repeat: An EM Approach to Unsupervised Tracking

This is the official code release for our CVPR21 paper on unsupervised detection and tracking. It produces results slightly better than reported in the paper. [Paper] [Project Page] We use ensemble agreement between 2d and 3d models, as well as motion cues, to unsupervisedly learn object detectors from scratch. Top: 3d detections. Middle: 2d segmentation. Bottom-left: unprojected 2d segmentation, in a bird’s eye view. Bottom-right: 3d detections, in a bird’s eye view. Overview An EM approach to unsupervised tracking. We […]

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Minimal open source Screen-Time Tracker for Linux

Minimal Open source Screen-Time Tracker (CLI-app) Table of Contents About Watcher is CLI-app (at this moment) which helps you to get perspective about your Screen-time Gallery Day Summary Week Summary Funfact: You might be thinking how can someone has 14 hrs of screen time in a single day, Well ! short ans is AFK-feature is not implemented yet… Most of the time I left my laptop as it is so it also counts that AFK time as Screen-time Installation Note: […]

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Drone Verification using SiamRPN Tracker

In this work, we evaluated the authenticity of drone in real time scenario using computer vision based deep tracker. More information about this work is in this file Python version 3.7 has been used. Following installations are required for working code Install the below libraries inside your conda environment conda install pytorch torchvision -c pytorch pip install opencv-python imutils pyyaml yacs tqdm colorama matplotlib cython tensorboardX For using the code on other platforms except OSX, comment the following line from […]

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Reverse Engineering Framework for the Polyend Tracker

RETracker is a reverse engineering framework for the Polyend Tracker written in Python.It is based on unofficial patches that it applies to the vendor’s stock firmware.These patches replace the Tracker’s MTP file transfer functionality (disabled by Polyend with the introduction of firmware v1.4.0) with a custom USB HID handler. The RETracker’s custom USB handler introduces new, non-official features to the Polyend Tracker that can be controlled from a computer via USB. The RETracker firmware’s basic features comprise the following: Reading/dumping […]

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TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022)

Ziang Cao and Ziyuan Huang and Liang Pan and Shiwei Zhang and Ziwei Liu and Changhong Fu In CVPR, 2022. [paper] Abstract Temporal contexts among consecutive frames are farfrom being fully utilized in existing visual trackers. In this work, we present TCTrack, a comprehensive framework to fully exploit temporal contexts for aerial tracking. The temporal contexts are incorporated at two levels: the extraction of features and the refinement of similarity maps. Specifically, for feature extraction, an online temporally adaptive convolution […]

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Nubank expense tracker for python

This is an independent project to track Nubank expenses. To fetch Nubank data we are going to use an unofficial Nubank API, that is going to be explained later. This data will be kept in a database container to be used and analyzed later. The main goal of this project is to put in practice technologies such as containers, docker-compose, python, network between containers and so on. This project is under development… How to set things up To set up […]

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An audio track separator in tensorflow that successfully separates Vocals and Drums from an input audio song track

Audio Source Separation is the process of separating a mixture (e.g. a pop band recording) into isolated sounds from individual sources (e.g. just the lead vocals). Basically, splitting a song into separate vocals and instruments. In this Repository, We developed an audio track separator in tensorflow that successfully separates Vocals and Drums from an input audio song track. We trained a U-Net model with two output layers. One output layer predicts the Vocals and the other predicts the Drums. The […]

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Monify: an Expense tracker Program implemented in a Graphical User Interface that allows users to keep track of their expenses

Description Monify is an Expense tracker Program implemented in a Graphical User Interface allows users to add income and expense based on categories & date (Food & Drinks, Groceries, Shopping, Housing, Transportation, Life & Entertainment, Miscellaneous). It also gives the functionality to Add budget per month, Input of debts and An operation to view the statistics of spending and where their money goes based on categories in a visual representation pie chart (shows the total amount spent in each category) […]

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