I guess for my use case, it would be better to get the parsing that HTTrack does, get all the url's, and pass that into an intelligence to selectively grab files.
I used this recently to download websites, stuffed them into a sqlite db, processed them with Mozllia's readability library, and then used the result and an llm to ask questions of the webpage itself.
It was helpful to take each step in chunks, as I didn't have a complete processing pipeline when I started.
I had wondered if there was an easier or better way to do this, as I probably would have liked to get the sitemap, pass the sitemap to an llm, then only download selected html pages vs the entire website.
Rk3588's have HDMI input (I think with hdcp decoding) that you can use v4l2 API. The multiplane API can be a bit tricky, but otherwise somewhat trivial
Communication books can be useful. I've heard good things about nonviolent communication and, while I've not finished it, crucial conversations has been useful
It's more complex than that. A lot of the material properties depend on both the cooling and the tempering in aluminum alloys.
The phase diagrams for these types of alloys look wild (you often want to achieve
a certain material phase during cooling to "lock" in to get certain characteristics), and it can be difficult to ensure that the smaller metals participate during cooling. Also difficult to dissipate these slightly during tempering, typically to increase ductility.
This is probably why 3d printing hasn't been done in earnest, you can't design something within tight tolerances with unknown material properties.
They don't have a MJPEG decoder yet, which is a blocker for hardware acceleration, but I'm going to try and patch the library with the author and get it added. Thanks for pointing it out!
Looks helpful! I assume ffmpeg needs to be built with SDL for this to work? I couldn't get it to work with my current minimal compile, but I don't think the board I'm working on has SDL, so might need to install that and recompile
I might end up doing that. When I was first digging into it, the Qt documentation seemed confusing. But after sinking 10-20 hours into everything, it's starting to click a lot more.
The HDMI receive device on the OrangePi5 plus is in a semi-functional state. Collabora is in the process of up-streaming code so the RK3588 will work with the mainline linux kernel.
Until that happens, working driver code is in a very transitive space.
To get going, and sidestep that problem, I've purchased an HDMI to USB capture cards that use MacroSilicon chips. I've some thought of using a cheaper CPU in the future with a daughter board based on this project which uses MacoSilicon chips: https://github.com/YuzukiHD/YuzukiLOHCC-PRO, which made it potentially not a waste of time to dig into.
The MacroSilicon HDMI to USB capture cards output MJEPG, which Rockchip's MPP library has decoder for.
So the thought is: (1) allocate a DMA buffer (2) set that DMA buffer as the MJEPG decoder target (3) get the decoded data to display (sounds like I may need to encode again?) & a parallel processing pipeline
I'll dig into the stuff you've sent over, very helpful thanks for the pointers!
I've thought about switching to Pi4/5 for this. Based on your experience, would you recommend that platform?
I've been trying to setup a pipeline of pass through hdmi from an HDMI input to an HDMI output with an OrangePI5 Plus. I could talk for a long time (now) about the issues with vendor supplied kernels and unsupported hardware. I was completely naive until I had the hardware in hand, having not done any embedded work.
Right now, the best of breed thought that I have is to run Weston, have a Qt application that is full screen, and to use DMA buffers so I can do some zero copy processing. Rockchip has their own MPP and RGA libraries that are tied into the Mali GPU, and I'm not smart enough to understand the current level of driver/userspace support to not leverage these libraries.
Rockchip and the ARM ecosystem is such a mess.
If anyone has any pointers, experience, approaches, code, etc, I would love to see it.
Surprised they didn't mention portainer, a docker frontend. There are a lot of templates so that you can easily self host without understanding some of the ins and outs.
I also like using proxmox with Turnkey Linux's images. Helped me self host invoice ninja faster, or at least try it out.
I feel like between Portainer and Proxmox it can cut some of the pain of getting something off the ground.
Ok interesting I'll take a look. I was looking at libvirt, specifically how red hat was doing testing for its container ecosystem to see if there wasn't some juice to squeeze out of how they are managing it.
If you were looking to create testing for networking, i.e., simulating network dropouts for a client-server connections, is this something that you can use namespaces for, or would virtual machines be more fit for purpose?
Are there any tools that people know of to do email automation on receiving emails?
I'd love something easily configurable that could help me tackle all the email I get with some simple rules, but I'm bound to an Outlook inbox for work.
I've often thought it would be cool to use AST's and perhaps code embeddings generated from machine learning as a tool to help students improve.
If you've ever taught a course with intro level python, it quickly becomes apparent how repeatable the mistakes are, or where you didn't spend enough time. As a student, this is frustrating because the correction comes too late, it's why having someone knowledgeable over your shoulder can speed up your learning.
The challenge that I believe ASTs present is that they only parse compliant code. So if someone makes a syntax error, it becomes a whole new ball game. I'd glanced at tree sitter to see if this could fix some of these issues, but I think it's a more fundamental problem than that.
Thing was unstable like 8-12 months ago