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Evernight | Honkai : Star Rail Evernight model Hairy Harzoo Caelus model SegsUltimate🔞 Evernight VA : 🍒 CherryRuby_VA🎙🔞 (COMMISSIONS OPEN) High quality version available on Fanbox & Patreon (link in bio) (I was thinking about scrapping this one, but decided to post it anyway, I also uploaded the scrapped...

241,344 просмотров • 9 месяцев назад •via X (Twitter)

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NO BUT HIS IDEA SO BRILLIANT? 👑: i already talked about it and gave hints to yeodoongies, right? so, it was almost at the final completion stage, but then the price came out. and it ended up being a bit higher than i expected. since i really wanted this item to be practical and actually useful for yeodoongies, i designed it with that in mind—and because of those extra details, the unit cost ended up a bit higher than i first thought 👑: so i thought, “wouldn’t this be a bit too much of a burden for yeodoongies?” that’s why i just decided to scrap it and changed to something else instead 💬: then just give me the one you scrapped 👑: ㅎㅎㅎ ah, that one was actually—well, i guess i can just say it now anyway. actually, i was thinking of a keyboard. the idea for that keyboard was something like i wanted to put hehetmon face on the keyboard—what should i call it? on the keycaps, like emojis. and then, you know those keyboards that don't make that loud clicking sound? not like mechanical keyboards, but ones that sound like asmr... ah, silent! but even though it's silent, it has that, you know—that “sagak-sagak” sound when you press the keys. yeah, you’re right! like “tuduk-tuduk” sound! i had that kind of keyboard in mind and tried to make it happen. but the unit cost ended up being higher than i expected. and i thought, this is a bit too much— i know our yeodoongies would want to have it no matter what, but if the price is this high, it’ll be such a burden on yeodoongies. so, i just made the call to scrap it and switched to something else

yeopamine

37,777 просмотров • 2 месяцев назад

Here is the first look of the Financial Model for Pakistan Stock Exchange we have built. At this moment, I don't know if it will be successful or not. Yet it's backtesting has given promising results. I believe it is real time and future testing that matters the most. To make it transparent, I will keep on updating on "X" the top picks from the Model. I request you not to invest a single money based on it's results because it is in the early stage. Every feedback from your side would be highly encouraged. The problem was that investors only see MARI, FFC, ,OGDC PPL, MEBL, Luck like companies because they are mainstream. But remember that there are 457 listed companies and there are some hidden gems that are usually missed by retail investors like us. One such example was SSOM that just exploded in few weeks. Thats why, the purpose of the model was to find those companies that have a lot of potential but are not covered by any brokerage house and yet there results are excellent. Based on this model, some time back, I added positions in companies like AGIL (Agri Autos) SPEL (Synthetic Papers ltd), NATF (National Foods), KSB Pumps, Treet. Because scores of all these companies is excellent. They remained stagnant for long time so my conviction on the model was also declining. But it were last two weeks that made a difference and so was my own conviction on this model. Big names like Wealth ⚡️ Wise Value Investor Doctor in PSX Tayyab 🇵🇰 are already aware of it. On Thursday I added HCAR. I will keep you updated just for testing purpose I again repeat not to invest. I will risk my own money. If it is successful, we intend to make a website where you all have access to this data. How it works and how to read it, I will explain it to you in a separate thread.

Shayan Baig

53,508 просмотров • 1 год назад

My fox shooting garden defending AI robot is finally done and WORKING! 🤩 (Don’t worry it only shoots 💦 water) After months of slowly moving forward with each part I finished the last step to train a TensorFlow model on the footage of the 🦊 fox I collected hours of footage 📹 with the fox roaming around my garden, from this I labeled around 2000 images with the fox by hand ✋ Honestly, I was quite skeptical training the model was actually gonna work, maybe this was partly the reason I avoided working on this until the very end. If I couldn’t train a model to detect the fox, this whole robot would never be able to function properly. On the flipside though, with no previous experience in hardware or electronics there was a bit of a learning curve and I didn’t want to end up labeling thousands of images, training a TensorFlow model, only to fail on building the hardware. As I started building, I realized that mixing hardware and software adds quite another dimension to debugging things. At times I wasted hours debugging code in my IDE, only to realize the issue was somewhere in the electronics. Furthermore, combining this side project with a full time job and a young family, is not always easy. It can be quite frustrating, to know you only need 4 hours of concentrated effort for a small task, having to spread it out across a week of 20min increments. Then, a few months into the build I noticed the fox had stopped coming to my garden, in fact one day, I recorded her walking with 3 cute little 🐶 pups, and the next day I saw her moving out of my garden completely. Did she know I was building a robot? I had this strange mix of feelings, happy my garden was safe from poop and digging, happy she was safe with her pups, but how was I gonna finish this project if my robot had no fox to detect? For sure they would be back next year, I figured I could postpone the whole thing until next winter, but I also knew it was gonna be much harder to pick up momentum if I did let it sit there for six months. So I decided to keep working, hoping the fox would reappear,.. but she never did. As I finished labeling the footage and started training my model, I could finally see the mAP results, quantifying the precision of my object detection model. It was measuring at 78% across different metrics on detecting my fox. I quickly ran the model on some of the video footage I got from my fox. Inference speed took a hit, but it did a near perfect job detecting the fox, even when she was deep down in the grass or wizzing past in a motion blur. It took me by surprise how well it worked. With the default model I had to drop my confidence threshold way down to 15%, to recognize the fox as 🦜“bird” in one or two frames, with my custom model it followed the fox all the way down to the back of the garden! Still this didn’t solve the issue of there being no actual fox in my garden and how was I gonna wrap this project in a short timeframe. I played with the idea of putting a fox toy 🧸 on an RC 🚗 car, or borrowing a dog to run around the garden to test. Friends suggested I run around the garden in a fox costume.. what a ridiculous idea. I wasn’t really feeling the idea of running around the garden in a floppy cloth fox 🎭 costume, but had a look anyway. I came across these self inflating costumes. This actually could be perfect. Since it’s inflated, it would hold its shape super well, making it much easier to label, train and be recognized by my robot. So I got the costume and shot a time lapse of myself as a fox walking around the garden. I labeled it to around 600 images. Ran the model training again and got a mAP result of 82%. This was even better than my real fox! At this point I knew this was gonna work. So here’s the final 🎥 video, just having some fun with it. I’ll update here whenever the real fox does come back. On a final note, I’m looking for (remote) jobs in these fields of AI now: - object detection - visual generative AI - 3D (nerfs + gaussian splats) So if you know anything let me know! My DMs are open 😊

Jeroen Pixel

55,797 просмотров • 2 лет назад