whotracks.me
multi-object-tracking-in-python
whotracks.me | multi-object-tracking-in-python | |
---|---|---|
6 | 2 | |
397 | 201 | |
2.3% | - | |
8.2 | 3.5 | |
17 days ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
whotracks.me
-
DOJ finally posted that โembarrassingโ court doc Google wanted to hide
* There are paid alternatives now, if you want to opt out of what allows them to offer search for "free" then go use those.*
Paying for search won't change the fact that 75% of all web traffic contains Google trackers.
https://whotracks.me/
-
Open-source tests of web browser privacy
Thank you for the feedback!
Granted, blocklists (lists of tracking domains or URL query parameters) can be circumvented by a determined attacker. Indeed, I agree that blocklists aren't sufficient on their own for a browser to provide solid privacy protection. In my view it's critical, primarily, to have policies that enforce privacy, including such protections as state partitioning and fingerprinting resistance. That's exactly why I included tests for such policies.
However: I do think blocklists provide substantial, though incomplete, privacy protection in practice. And, importantly, blocklists are enforced by a number of popular browsers (Brave, DuckDuckGo, Firefox Private Mode, Firefox Focus) and popular browser extensions and other services (uBlock, ClearURLs, DuckDuckGo Privacy Essentials, Disconnect, etc.). These blocklists seem to work pretty well, at least judging by the ad-free experience they provide. So I felt that to give a more complete picture I should test for blocking.
I tried to avoid cherry picking query parameters or blockers. Here's how I arrived at the current selections for these two sections:
* Tracking query parameter tests: I tried to gather all the query parameters I could find; the list on the page was my full list at the time. (If there are suggestions for more parameters, I will be happy to add them.)
* Tracker content blocking tests: I used the list of the top 20 tracking entities from https://whotracks.me. These are, roughly speaking, 20 of the most widespread third-party tracking domains on the web -- they should be a high priority for any browser respecting privacy, in my opinion. I hope testing for blocking of these 20 serves to gives a sense of each browser's approach to third-party tracking scripts and pixels.
- "WhoTracks.Me" Find out exactly who's tracking you online
-
How to track trackers? [Python for now]
https://whotracks.me/ and https://www.ghostery.com/ and I wondered how they manage to find all these trackers, I usually only were able to find these hardcoded ones like google analytics on this site for example: https://cellinoplumbing.com/
-
A Quick Reminder For Those Who Wants To
Ghostery neither collects nor sells data about users or trackers. In fact, they even open the insights they have about the tracking landscape via https://whotracks.me/ so that everyone can benefit from it.
-
80% less distractions with 20% more privacy
Privacy Badge: Blocks cookies with domains cookies collecting unique identifiers after it was sent a Do Not Track message. Focus only on google, facebook and amazon and check whotracks.me.
multi-object-tracking-in-python
What are some alternatives?
ghostery-extension - Ghostery Browser Extension for Firefox, Chrome, Opera, Edge and Safari
FOXTracker - Facial Head Pose Tracker for Gaming
hblock - Improve your security and privacy by blocking ads, tracking and malware domains.
Deepstream - yolov5, yolov8, segmenations, face, pose, keypoints on deepstream
1Hosts - World's most advanced DNS filter-/blocklists!
examples - ๐ Examples of how to use Neptune for different use cases and with various MLOps tools
settings
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
opendp - The core library of differential privacy algorithms powering the OpenDP Project.
TrackerComponentLibrary - This is a collection of Matlab functions that are useful in the development of target tracking algorithms.
alternative-frontends - ๐๐ Privacy-respecting web frontends for popular services
SipMask - SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)