ciao VS librealsense

Some Prolog systems (like Ciao Prolog https://github.com/ciao-lang/ciao/blob/master/core/lib/forei...) implement bidirectional foreign interfaces. Once you have C bindings it is easy to write bindings from Rust, C++, or any other language (that can interoperate with C). I give here some details about Ciao because this is the system I know better but it should be similar for other popular Prolog implementations.

The tradeoffs depend on the complexity of the Prolog code and your needs for performance and features: pure LP, Prolog (search+unification+cut), garbage collection, dynamic database updates, constraint domains, etc. The Ciao Prolog engine is around 300-400KB. Adding a few libraries, compiler, etc. it goes to 2MB. Naive Prolog systems can be one order of magnitude smaller at the cost of sacrificing ISO compatibility, performance, etc. Note that "performance" can be very misleading. Some Prolog programs may run particularly fast in some Prolog system and very badly in others.

from, https://github.com/IntelRealSense/librealsense/blob/master/doc/installation_jetson.md

I think it is more along the lines of the Intel Realsense camera. It may even be from Intel.

Hello, Im trying to run this program: https://github.com/IntelRealSense/librealsense/tree/master/examples/save-to-disk

My elegant, state of the art solution, is a modification of the code found here https://github.com/IntelRealSense/librealsense/blob/development/wrappers/python/examples/opencv_pointcloud_viewer.py Some time before line 295 I use open cv to open the video device and poll the frames, then on line 296 I swap color_image with my new frame.... It kindof works, now I need to align the image and depth

Not sure if you have sorted it now but did a quick search up on the internet. Their github page has some installation instructions and as others have said you forgot to add the public server key. (source: https://github.com/IntelRealSense/librealsense/blob/master/doc/distribution_linux.md)

ok folks, I got an answer from the guy from intel and he pointed to me a github discussion. That post mostly answer my question. D435 was able to pick up small thin object in 3d point cloud so i am going for D435 for my chili.