D3DShot
Extremely fast and robust screen capture on Windows with the Desktop Duplication API (by SerpentAI)
labelme2coco
A lightweight package for converting your labelme annotations into COCO object detection format. (by fcakyon)
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D3DShot | labelme2coco | |
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1 | 1 | |
256 | 247 | |
- | - | |
0.0 | 3.8 | |
almost 2 years ago | 11 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
D3DShot
Posts with mentions or reviews of D3DShot.
We have used some of these posts to build our list of alternatives
and similar projects.
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Part 12a: Real to Reel
By using the Python package d3dshot, we can grab a screenshot of our RealFlight environment (we'll take just the part showing the downward-facing camera feed), and then send this image data (encoded using OpenCV) over UDP. On another computer we can have a script running with a UDP socket open and waiting to receive these messages. This script is representing the third-party peripheral, which in real life would be capable of obtaining the video footage on its own. Nonetheless, the peripheral now has its data to analyze. The important thing to note here is that this peripheral is self-contained. It is not part of the autopilot (it's written in Python, for one thing), and thus its hardware and software can be developed without any integration concerns, provided that it conforms to the autopilot's API. So while this "peripheral" currently exists on the same computer that is running the autopilot, this is by no means a constraint, and it will soon be moved to a separate piece of hardware. So what, you may ask, it the point of this peripheral? Well, that will just have to wait until next time. But I think it's pretty cool, so hopefully you'll come back to check it out. You're very patient, dear reader. That's what I appreciates about you. -Greg
labelme2coco
Posts with mentions or reviews of labelme2coco.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-12.
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What's A Simple Custom Segmentation Pipeline?
I would also suggest labelme, it's pretty easy to use. Just type "labelme" in the shell after pip installing and you will see the GUI. There are tools to convert to coco format (like https://github.com/fcakyon/labelme2coco) if needed, for instance for Detectron2.
What are some alternatives?
When comparing D3DShot and labelme2coco you can also consider the following projects:
python-mss - An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).