![[P] Built an open source tool to find the location of any street picture](https://preview.redd.it/1ekcaqfqhzrg1.jpeg?width=640&crop=smart&auto=webp&s=55410cd675540d3c9b2f64e47062622c9cc940e6) | Hey guys, Thank you so much for your love and support regarding Netryx Astra V2 last time. Many people are not that technically savvy to install the GitHub repo and test the tool out immediately so I built a small web demo covering a 10km radius of New York, it's completely free and uses the same pipeline as the repo. I have limited the number of credits since each search consumes GPU costs, but if that's an issue you can install the repo and index any city you want with unlimited searches. I would accept any feedback include searches that failed or didn't work for you. The site works best on desktop Web demo link: https://www.netryx.live Repo link: https://github.com/sparkyniner/Netryx-Astra-V2-Geolocation-Tool [link] [comments] |
[P] Built an open source tool to find the location of any street picture
Reddit r/MachineLearning / 3/29/2026
💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage
Key Points
- A developer released an open-source tool (Netryx Astra V2 Geolocation Tool) that estimates the location of a street photo by using the same underlying pipeline as their previously announced work.
- They also launched a free web demo (netryx.live) limited to a 10km radius of New York, with usage credits constrained because each search incurs GPU costs.
- Users can install the GitHub repository to index any city and run unlimited searches beyond the web demo’s credit limits.
- The post requests community feedback, including failed or unsuccessful searches, and notes the demo works best on desktop.
- The project is positioned as a practical geolocation capability built on ML/AI components, lowering experimentation barriers via both the repo and hosted demo.
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Reddit r/MachineLearning
