poor-mans-vr
dji-aerial-georeferencing
poor-mans-vr | dji-aerial-georeferencing | |
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3 | 8 | |
27 | 160 | |
- | 5.0% | |
7.0 | 3.2 | |
7 months ago | 7 months ago | |
JavaScript | JavaScript | |
- | Apache License 2.0 |
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poor-mans-vr
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Ask HN: Show me your half baked project
https://github.com/muxamilian/poor-mans-vr
A poor man's VR: Using the front camera and tensorflow.js, the smartphone becomes a “window” into the real world. Video and image content appear as if they were seen through this window. To do this, the viewer’s position is determined using a neural network. The viewed content is then moved according to the viewer’s position. This makes it seem like the content is physically behind the smartphone and is viewed through the smartphone’s screen. This effect is especially useful for content captured using an ultra-wide lens.
- A poor man’s VR (front camera and tensorflow.js)
- Show HN: A poor man’s VR (front camera and tensorflow.js)
dji-aerial-georeferencing
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DJI drone flight log viewer
How does this compare with the data you get from Airdata?
When I was working on an aerial georeferencing project[1] I found that the on-device flight logs didn’t contain all the info in the serverside logs (eg heading, gimbal orientation, GPS coords, altitude)
[1] https://github.com/roboflow/dji-aerial-georeferencing
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Container Terminal’s Satellite imagery processing
You can also do it if you know the height and field of view (I open sourced code to do this from drone videos here: https://blog.roboflow.com/georeferencing-drone-videos/ )
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Calculate angular distance between two pixels
Yeah that’s pretty much it. I wrote about something similar for translating pixel coordinates from drone videos to GPS coordinates: https://blog.roboflow.com/georeferencing-drone-videos/
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Finding & plotting solar panels from drone videos
I'm not the OC (that'd be u/aloser). Based on the blog post breakdown (https://blog.roboflow.com/georeferencing-drone-videos/), it's a recorded video matched up with the flight log to identify the location of certain objects.
I published the code here: https://github.com/roboflow-ai/dji-aerial-georeferencing
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Show HN: Finding and plotting solar panels in drone videos using computer vision
Had a lot of fun building this; did an in-depth writeup here as well: https://blog.roboflow.com/georeferencing-drone-videos/
What are some alternatives?
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geo-pt-api - Provides information for Portugal, on official divisional administrative regions, georeferencing and postal codes [Moved to: https://github.com/jfoclpf/geoapipt]
paperless-ngx - A community-supported supercharged version of paperless: scan, index and archive all your physical documents
PX4-Autopilot - PX4 Autopilot Software
blackjack-basic-strategy - A computer vision powered Blackjack basic strategy app powered by Roboflow.
TomScottMap - A unofficial map of the videos created by Tom Scott. See his Youtube channel for the complete list of videos (including those that are not geo-referenceable).
cb - 📋 Universal command-line clipboard with automatic copy and paste detection. Eg, `cb|sort|cb`. The missing link between GUIs and CLIs!
drone-air-mission-planning - This application helps you to create a route plan for your drone, you can create points, lines, and circles and with the help of the backend you can get geojson for all points.
teachablemachine-node - Using Teachable Machine Models in Node.js
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more