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Mr.Stork

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About Mr.Stork

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  1. Your laptop's ethernet is not connected to any DHCP and has no sensible static IP, so you won't be able to use it. As Levent said, either configure static IPs in the same subnet on your raspi's and your laptops's ethernt. Additinally you would have to tell ssh to use the ethernet-jack instead of the wifi. Thing is I don't understand what does same subnet mean, is there a explanation link you can provide? I was hoping that I could just let the Router's DHCP decide an IP and just reserve it. So, how do I make a static ip of the RaspberryPi? I tried to do that, but for so
  2. thats the first thing I did, which didnt work thats why I connected directly to pc. I think I explained it wrong in the thread above
  3. I'll not use it that way, I'll use it as a nas and the RPI will be connected to the router. And the router will be connected to my pcs/phones. Does that work? (it did yestarday) I also did put a static ip on the sdcard before first boot which didnt work so used router assigned ip, I then followed another tutorial that told me to assign ip via terminal, which also didnt work so used router assigned ip. Everytime I used the RPI, it was connected to the router NOT directly to pc/laptop. I directly connected today cuz it isnt showing up on my router
  4. But I have, I wrote it on the thread, I connected it to a router which has DHCP enabled, but doesnt show up! It did showup on the list yestarday tho. I also reserved the ip for the RPI which was auto assigned by the Router DHCP. Sorry Idk much about networking so better be safe, I'll change the image with one which is not blurred. But I know that I should not show mac addresses haha
  5. I setup my Raspberry pi yestarday as a NAS, using SAMBA, and I was getting around 100MB/s from my External HDD and it was all well then I powered it off. (idk how to power it off from terminal, so I just cut the power which may happen during a power cut) But today when I power the RPI on it doesn't seem to show up on the router's DHCP list. The Pi has power, both ethernet's green and pi's red leds light up just like yestarday. It was delivered from amazon yestarday, I bought the Starter Pack called PiBox. As connecting to Router didnt work like yestarday, I then conn
  6. cool thanks Im lazy as is lol haha Anyway, thank you both @igormpand @miniboisfor helping me out a lot, if you guys wanna talk a bit about this topic, I can keep the thread open, if not I'll close it Edit: I just had an idea by watching @minibois's Foldin@Home badge, can we use Colab for Folding@Home? It is for the greater good right?
  7. I found a simple script to hopefully that, havent tested it though. Surely it won't disconnect while a cell is running. And where would I add it in the code? Why bother, No one responds anyway
  8. Why woundn't the code the make a folder named 'Upscalingg", that would and does help out in these situations looks wayy better, I'd do this with every 720p video if it werent for the ludacris time needed I think it's because it cuts the video cuz it dont have enough vram to upscale the whole frame at once, DIAN app does that, (DIAN app is an AI slowmo/fps adding app)
  9. Overall Colab is great, I use it almost reguraly to transfer files and download from and to my drive, there's a ton of potential. The BIGGEST issue with colab is it disconnects if I shut down the pc/close browser, well I guess it's understandabe. Only workaround is to get a cheap RDP or a server to run browser 24/7 at home like rasberry pi. That is what I meant actually, I thought it'd be better with those tensor cores as they are specifically designed for AI use. And I've also seen open issues before about the same thing, but there's no sign of that being implemented. Those thr
  10. There's a issue major with Colab tho, the "colab work" space is limited to 70gb, while upscaling a 20mb video to 90mb, it used nearly 50gb of space, so I can't imagin using the free version to upscale bigger videos, and also as it extracts lossless .pngs it takes much more, this is why I like to use .jpg on my GUI video2x, see if you can find out how to change the extension wait so the GPUs on Colab have Cuda right? or they just gpus wih no cuda? I'm Glad :), let me know if you find something interesting, im always up for these types of ai stuff to improve my work
  11. Which one? I have a 1660Ti, and it still chugs
  12. Cool, do you know what happes if I try to upscale a .mkv or anything other than .mp4? Also I think as it's using AI, woudn't it be better if it used the TPU instead of the GPU, like how Nvidia's DLSS works? Woudn't it be great to upscale videos using DLSS, in realtime or at least way faster than this Colab method Edit: Apprantly it is possible via something called NVIDIA NGX, problem is I only have a Cuda GPU
  13. EDIT: After doing some experiments, I figured out how to import videos and export them from and to any location of my drive/team drive, but the naming has to be manually done. It'd be nice to get a code that batches all videos in a folder and autoupscales adding a "_upscale.mp4" at the end of name. Note: LOCATION only works inside drive !python video2x/src/video2x.py -i LOCATION/INPUT_VIDEO_NAME.mp4 -o LOCATION/OUTPUT_VIDEO_NAME.mp4 -d waifu2x_ncnn_vulkan -r 2.0 I think the last 2.0 is the upscale parameter, I'm currently testing it by setting it to 1.5 to make sure, I will
  14. Waifu2x, which I was introduced by Taran here, upscales images using Machine Learning, Video2x seperates frames from video gives it to Waifu2x which upscales said frames, and video2x stitches them back. The problem with this is, it's very computationally heavy even for my 1660TI. This is why I want to use Colab. A colab notebook is provided on the Video2x page, I'm not sure how to add a video from my Google Team Drive, or how to change settings or how to export it back. (don't have much space in my Normal Drive thats why I use Team Drive). Here's the example Colab Notebook lin
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