Our next presentation is by Kitware Matt Dawkins talking to accessibility of open source AI platforms marine science and Anthony Hoogs is also on the panel today. All right, thank you for inviting me to speak here today. My name is Matt Dawkins and I'm a software engineer at Kitware, a small software company headquartered out of upstate New York. And I'm here today to talk about the army, which is an open source toolkit that we're currently developing alongside no fisheries, and a couple other collaborators. For those of you not familiar with Kitware, we make open source software in a few areas. Being open source, most of the software is free to use and available on sites like GitHub. We have our well known software CMake VTK and Power View. Anyone who's built other computer vision software like open CV or pytorch have probably encountered CMake, which is used to generate cross platform builds on windows Linux or Mac, but it's also widely used outside of computer vision, where headquartered in upstate New York, but have offices in North Carolina DC, New Mexico, and Leon France. So what is the army. Over time it has evolved into a do it yourself toolkit that biologists can use generate their own machine learning models with little or no programming experience. Now in either weather desktop interfaces. We have recently also added support for an online repository for storing imagery and related annotations with additional support for training models. Some of its current use has been on the first three items on the left of the blow figure, particularly object detection and tracking, but more recently we've been expanding its capabilities into stereo measurement, image enhancement, registration 3D model generation and a couple other fields. Lastly provides tools to assist the evaluation of different algorithms. For example, I've begun applying the army to a diverse range of data and challenging problems. For example, here are images from underwater downward facing cameras pointed at the sea floor. Many of these problems require the collection platforms to apply their own illumination and necessitates running image enhancement prior to automated detectors. Aerial surveys are also fairly popular. So you can see a diverse range of climates here with different types of seals and sea lions. All the way from the Arctic on the top to warmer clients in the middle for example of the coast of San Diego scene segmentation has also come up with a few groups, such as on the right for classifying land cover into different categories. Outward facing cameras are a bit more diverse than the others with a large range of different sensors targeting fish populations around the world. Tracking objects frame to frame to avoid duplicate counting typically becomes more important here, but that depends on the application. These might be underwater on board fishing vessels for electronic monitoring or just, you know, GoPro's chapter penguin heads. Just to give you a feel for the assortment of platforms collecting this imagery, there's a large variety. Some are towed vehicles with a fixed cable to the surface and others are more autonomous such as AVs. All of the, the aerial ones we've worked with so far being mostly man fixed wings but a small amount of UAVs with friends get involved with. Planning for Vimea began in late 2015 with the formation of Noah's AISI committee, the development picked up a bit more in 2016 2017. AISI was creating with a representative from each fisheries science center around the US and also a couple members of industry and university partners. Vimea wasn't the only product funded by ASI, but it's originally designed as an integration platform. Over time it evolved into a full do-it-yourself AI toolkit with multiple workflows for generating different types of classifiers or detector. The more traditional approaches in the middle, the user has some raw data, they do a lot of manual annotation on them then train a model. The second is when you already have an existing model more similar what you're trying to do, either from someone else's work or first pass model trained on your problem. In these cases, it might be more helpful to run the existing model and correct the annotations as opposed to doing them from scratch. The last workflow involves low-shot learning and video search to rapidly generate a model. There are different types of annotations that the annotator interfaces support, box level, pixel level, frame level, and key points. Each are useful in different circumstances depending on the application and user time available for annotation. Additionally, we have now developed a couple different interfaces. The newest dive is shown in this video, which can be run either on the web or on desktop. Dive supports multiple types of annotation in addition to model training on multiple sequences, and we now have a web version of dive hosted online at yami.kitward.com that contains a couple million annotations. Then there's additionally some more specialized desktop applications in addition to dive, including search for rapid model generation, sealed for multimodal annotations, for example, on infrared and thermal simultaneously. And lastly, we have project folders for bulk processing data and bulk from bat scripts outside of interfaces. I'm now going to give you a very quick feel of some of the capabilities in yami, but I'm not going to linger on these slides too long. On the detection side, we've done some high-level integration of algorithms in wider use in the computer vision field, but then we've done some optimizations on top of them such as fusing in motion information into these detectors for depth maps. Similarly, ensemble classifiers for taking multiple detectors and running them in parallel. This is a quick example of our interactive learning for rapid model generation where the user provides only a few samples of the target, then the system searches a database for additional things that match that target in terms of appearance similarity, returns those results to the user. The user annotates what was right and wrong to rapidly generate a new model for the query of interest. You know, enhancement comes up in underwater a lot, but one of the things we've been doing is coming up with 3D models based on camera calibration and stereo cameras, trying to infuse those into detectors for improved performance of buried objects such as flatfish that might be covered in sediment. Now, registration comes up in a few domains for aligning imagery, especially in aerial, we might have lower frames per second data like one Hertz data, that might only lap by 50%, but you still don't want a duplicate count on different seals or sea lions. Now object tracking also comes up in a few domains and one object tracker doesn't always fit all problems. So we typically have a one tracker dedicated for fish type problems that runs at higher frames per second video like 10 Hertz, 15 Hertz data. But then we might have lower frame rate registration based trackers for some of those aerial sequences. So in aerial measurements similarly we have two different approaches one for when you have lots of annotations so head tail points on what you're trying to measure, and then a not deep learning approach when you don't want to rely on having lots of annotations. Now the same thing is true for full frame classification where we have our rapid SMM model that can be trained on few annotations and then sort of a deep learning sort of standard just ResNet based model for when you do have lots of annotations for problems of interest. People here are looking for typically full frame properties such as background information or whether or not an event is happening in a video such as in those penguin feeds. Lastly, we have embedded processing a lot of people they're fine taking their data to their lab. We've also started doing a bit with detectors right downstream from the camera systems itself and running it on on embedded software, low swap hardware. Some of the future steps for the army include trying to get it working on more types of data sets for example acoustics. Lastly, I just want to thank you know no CFF for funding the army that's been instrumental and image annotators across multiple organizations who have contributed annotations to it. Thank you. Thank you for sharing Matt. We have a question for you and Anthony. I guess that you should get the prize for fitting the most into a five minute talk. There's a lot of work to be done to tease apart all of the questions and even I'll leave one of the technical questions to Matt and I'll take a 30,000 feet stab at a question for you. You mentioned about the AISI community and how this has helped the development of the system for work teams in America. Can you give us some insights into how that how that rolled out and what worked and what didn't and who funded or how you managed to get people to work together or talk together and so on. Just a little bit of an insight into how your world worked out. Looking for you on the top shelf here to put you down. Thank you. So thanks, I guess for inviting me here today. So the ASI committee was founded with one representative from each of the fisheries science center I was known the original committee. Anthony was who's also available on this call. Certainly that helped begin the process of getting annotations a lot of people in the beginning they didn't have many annotations for their problem. Some of them did. You know when you're doing traditional deep learning methods, you typically need a lot of annotations you know it's not a small amount when you're coming into a new problem. So one of the original goals of the AISI committee was to sort of combine the people who had a lot of annotations with those who didn't. We're just starting out for the first time and I think so, having contacts there really helped a lot of bringing together people who had lots of experience for a problem and those who didn't. Who may have just been coming into this raw who had never heard of convolutional neural networks or deep learning. Yeah, I think that was very helpful. Anthony, can you add to any of that about the history of story about how the community sort of took off and how that helped. Be happy to back in 2014. Noah organized a workshop at the National Research Council, which is part of the National Academy of Sciences and Engineering here in the US to try to bring together the computer vision community with no official results. Because even back then they knew that computer vision and help them they had people dabbling in this across the different science centers. And they wanted to coordinate those efforts and bring in researchers who knew how computer vision works. This is way before computer vision and deep learning popularized AI around the world, and it was really ahead of its time. I noticed this initiative, which came with funding from Noah to give out to various researchers and then some of that came to Kitware for beyond me development, someone to UC San Diego for coral net development. Others went to different universities and labs. This was coordinated and allocated through the as I so it was really very visionary and because of this, the, the Noah team that put this together and ran this for years under Ben Richards was one of the co panelists are not here today. They won the gold medal for scientific achievement, the highest award in the Department of Commerce in the US. Back in 2019 for this effort, because it really predated this huge wave of AI usage and acknowledgement the position fisheries, such that it's way ahead of the game here now the army exists fishery scientists and using AI and computer vision. We've had some of them for years. So it's really, I really him I have to to these know folks who put it together and thank them again for funding Kitware to do this work was really quite visionary. I'm going to hand over to Anton and then Matt will probably hit you with a real technical question. Thank you. Sorry, I have no real question here. Okay, Matt, go ahead. Yeah, kind of a technical question. What's the biggest challenge that you faced rolling so many dimensions into one package because you're really your coverage of many different aspects to thermal infrared. Slam image stitching, you've got so many components in that one piece of software. It's such a mountain I think you've managed to climb and putting it together and making it accessible to users as well I think is something really manageable. What. How did you approach doing that. I definitely think that's one of the challenges we faced. Typically, there's not one workflow that works for everyone in the get go.  So I think their lab is, you know, for example, they're for people sitting who want to do co annotation at the same time, which case a web solution might be better, or if they're just one researcher who has access to GP resources, you know they might just be fine working on their desktop. That's sort of what's led to us having a lot of different workflows for these algorithms and adapting it to some of these different problems. Sorry, and what's been the user update, like how many users do you think we've had that are using it prior to the analysis. Probably estimated a couple hundred right now. I think on our line annotator we have roughly 400 users who signed up. A lot of those people just signed up to get annotations they're not active users but looking at the past 60 days has been about, you know, you're 320 or so active. I don't actually have a feel for how many people who have downloaded the desktop version. There's, there's no statistics for that. But I guess is something similar there. To follow up on the question about where I was adding all this functionality in. As I mentioned, the army has been under development for five years or so more. We maintain the capabilities that are there but then new capabilities come along because there's enough interest across no centers that that we use the no maintenance and improvement funding to add them in. So when there's capability, let's say, stereo reconstruction from stereo cameras producing 3D depth map, something like that might be of interest it's multiple centers we might add it we also have additional efforts that are funded through no centers directly or anyone else who wants to to pay for something to be added to the army. So we've had a few of these where we've added in a significant detectors enhancements for detecting certain kinds of items in the sea like scallops. So they get the capability keeps growing, and we try not to delete things or make them obsolete not working anymore so it does just keeps getting added in one thing we don't have is reinforcement learning and be interesting to put to put something about that in there for various problems. But that's on a to do list. Well, thanks very much for that I think we


listening is huge and I don't know why but there's a lot of people I'd say probably 95% of the people in the world just don't listen to people. Hey guys what's going on it's Andy so we're back to nine skills that'll pay off forever this is gonna be number five this is gonna be listening this is a huge one okay by the way I put a little four system step process here while you're selling if people like you they'll listen to you if they believe you they'll buy from you it's something that I learned my whole life now listen to me if people like you like they like you remember the introduction video number one if they like you right they like you've done a good job then they'll listen to you and if they'll listen to you right then they'll believe you right because they want to listen to you so then they'll believe you and if they believe you they'll buy from you this little four step pattern right here this is key but I want to ask you something okay if you don't feel like you've been heard will you listen to someone else no and a lot of people they don't listen to other people and that's the reason why they can't have a conversation with them if you say something and I'm trying to answer the question or I'm trying to cut you off and tell you what I think before you're done talking to me that's what most sales people do and they're not listening and that's why people get irritated connections aren't being made and people don't trust people they don't want to buy from okay by the way listen to me if I will listen to you and I'll make sure that I let you completely say what it is that you want to say number one I understand whether to take you right or left because I've got you to fully tell me everything that you've wanted to tell me and I know what my next move is I'm playing chess not checkers I'm playing chess and I can stay ahead of you because I'm listening to you but also from your perspective as you're talking to me like if I don't listen to you then guess what you're not gonna listen back to me in a second when I go to talk to you so this is really important if people like you to listen to you if they'll believe you they'll buy from you when you're talking to somebody and you're explaining anything to them if they say well hey what about this they go ahead by the way anything else go anything that you're thinking of right now anything you got on your heart go ahead and let it out I'm here to serve you at the highest level I'm here for you go I got you what is it hey guys what's going on it's Andy a lot of you leave comments tell me that you need help do me a favor I'm gonna take the best way to get a hold of me shoot me a text message right now<PHONE_NUMBER><PHONE_NUMBER> I'll help you with whatever you need I got your back for life let's get back to the video let it out I got you listen guys don't be afraid to say anything around me whatever you want to say whatever's on your heart just let it out I want to know what it is I'm gonna give you world-class customer service today guys let it roll what am I doing I'm getting all of it out now listen me write this down relationships kill objections so if I get a good relationship with you and I'm letting you finish talking and letting you finish then what am I gonna do I'm building a great relationship with you because you feel like I'm somebody who will listen to you when I go talk back to you more than likely all the things that you've told me I can handle those so there'll be no objections because I've heard everything that you're saying plus you'll want to hear me because I'm a good listener closers listen to people and they tell them how to close them you feel me so listening is huge and I don't know why but there's a lot of people I'd say probably 95% of the people in the world just don't listen to people right now look I can change your mindset I can change the way you think I can retrain your brain but I have to let you get everything out of your head sometimes so I can listen to it so I know what my next move is all right and by the way don't always think that you know what the next move is I've been doing this for 25 years okay I know where to go next but a lot of the times I'll go ahead and let someone finish all the way talking so that they feel like they've been heard so now they'll hear me and I make sure that I do want to go right instead of last second change and go left get me so listening is huge it's a powerful skill that'll pay off forever hey guys I just want to tell you the true one percenters you made it till the end of the video do me a favor share it with the friend that wants to go to another level make sure you like the video comment below so I know who you are set your notifications and then subscribe to the channel we got daily sales training videos dropping I'll see you soon


What is going on guys and welcome to the channel. My name is PhillyB2 and in this video we're going to be discussing the ultimate EV training guide in Pokemon Sword and Shield. This is going to range from beginners all the way to the expert end game kind of people and even if you're in end game maybe you're going to be able to find something in this video that's going to help you EV train. So I'll be breaking down the video in timestamps so click where you need to click depending on your level of EV training and without further ado let's get right into this video. So the first question we want to ask ourselves are what are EVs? To understand EVs we have to look at Pokemon stats. Now as you know Pokemon have six stats. They have stats in HP, attack, defense, special attack, special defense, and speed. Now what are EVs? EVs are essentially known as effort points and what you're going to do with EVs are basically gain four EVs and boost up a specific stat more than it normally is. So four EVs equal to one Pokemon stat. A total amount of EVs that you can have in one stat is 252 EVs okay and a total of 508 with all the EVs combined. So you get 252, 252 in one stat, another 252 in another stat, and then you get four EVs in another stat. So in that number together equals 508 total EVs. So as you go throughout this video and we explain the things in the various sections be aware that 508 is the total amount of EVs that you can have on a Pokemon and 252 is the max amount of EVs you can have in a particular Pokemon stat. The first part of this video is early game EV training. So you just started the game and you have access to none of these items. Well you can start EV training immediately because there are some Pokemon that you're going to encounter in the beginning of the game that help you get your EV points. For example when you encounter a Scovette you'll be getting one point in HP. If you encounter a Chuddle you'll be getting one point in Attack. If you encounter a Wooloo you'll be getting one point in Defense. If you encounter a Nicket you'll be getting one point in Special Defense. If you encounter a Rookidi you'll get one EV point in Speed. And when you encounter Gasly in the Wild area specifically at the Watch Tower you'll be getting one point in Special Attack. So in theory as a beginning EV trainer depending on which stat you want to max out you're going to have to knock out 252 of that particular Pokemon to max out that stat. There's also an option of farming Feathers in the game. Now you can go take a Flying Taxi to Motostoke you want to head over there and once you get to Motostoke you want to go up take that little thing up and then we go we take the bridge okay so we go up in Motostoke from there all right and what you're going to do is when you go across the bridge you're going to see a lot of these sparkling sparkling items and you're going to see Muscle Feather we're going to keep going across we see more stuff Genius Feather Pretty Feather like you know it's just a good amount of stuff you'll see so basically let me explain to you what the exact Feathers are so so you have the Health Feather which helps you out in HP you have the Muscle Feather which gives you Attack you have the Resist Feather which gives you Defense you have the Genius Feather which gives you Special Attack you have the Clever Feather which gives you Special Defense and the Swift Feather that gives you Speed but essentially all these items if you collect lots of them and choose to do so will just give you one EV now it's a cheap way of doing it but it's a way of adding on EVs to your Pokemon Training now this is something really interesting for you guys to know now Pokeris is a virus that Pokemon end up getting that helps boost their EV Training even more if you would like to see how to get Pokeris go ahead and check out this video over here so going back to the previous examples of Pokemon we just referred to let's take Wulu for example now we mentioned that Wulu is going to give you one EV point in defense if your Pokemon has the Pokeris and you take out a Wulu you now earn double the amount of points which means now when you take out a Wulu it is two points which means you now don't have to KO 252 Wulu but half of that number this means that you only have to then KO 126 Wulu in order to get a max EV stat now this is for players who are more end game and would like to EV train their Pokemon up quick so what you're gonna do is you're gonna head over all the way to Winden right that's right over here this is towards the end of the game so you're gonna go to Winden and when we arrive in Winden we enter the Pokemon center right over here and what you're gonna do is you're gonna go talk to the second guy on the right he's gonna say welcome champion here to do a spot of shopping you say I'm here to buy and you're gonna notice a few items on here you're gonna see the HP up which is going to raise HP base points of a single Pokemon you're gonna see protein which raises attack you're gonna see iron which raises defense you're gonna see calcium which raises the special attack you're going to see zinc which raises the special defense and you're going to see Carbos which raises the speed stat of a Pokemon now each of these items raise an EV for your EV points by 10 points so what did we say before we said that a total per one stat is about 252 EVs which essentially means you have to buy 26 of these items in order to fulfill one complete stat so let's just say that I wanted to maximize a Pokemon's base stats completely in special defense and speed so I would have to buy 26 Carbos and I would have to buy 26 special defense which would equate you a price of 260 000 per item and then we have one more base stat left over so four more EVs remain after that so we would have to buy one more of these that would we would pick so let's pick HP so totally the amount that you would be spending would be 260 000 dollars for one stat another 260 000 pocket dollars for another stat and 10 000 pocket dollars for another stat bringing you to a total of about 530 000 pocket dollars to maximize an EV train one Pokemon completely I'm going to be showing you guys an example of how to EV train right now I have a six IV Pokemon that I haven't even touched yet so we're going to go get him so here we go I'm going to grab the dreadnought first I'm going to see its stats there it is guys six IV I just want to show that off and the next thing I'm going to do is okay what do I want to EV train dreadnought in now I'm not telling you how to build Pokemon I'm just giving you guys merely an example of what to do so in the case of dreadnought I want to train its attack so I'm going to look for the item that helps me raise the attack what am I going to do I'm going to buy 26 of this item so I get 26 proteins the next thing that I want to do for dreadnought is I want to raise its HP so I'm going to grab 26 of the HP ups to maximize its HP EV stats and the last one that I'm going to do is just one of another item and I'm just going to pick maybe defense or special defense I don't know in this case I'll go with special defense so I'll grab one special defense and just like that I am now officially only have 125 pocket dollars and I'm ready to EV train it so I'm going to go into my bag now so I'm going to use this item on dreadnought and I'm going to put all 26 and all dreadnought's attack points go in right and if you try to add any extra the game will say it's not going to happen because you can't put that many stats because you can only put 252 and 1 right I'm going to add the HP up now and we're going to put all the HP stats and you're going to watch as HP points actually raise here okay there you go it raised up and then we finally have zinc which is special defense I'm going to add that and now my dreadnought is a little more powerful than it originally was so just like that my dreadnought now is fully EV trained I can now battle in the wild with other Pokemon and not worry about other EV points coming on to him let's talk about power items now each of the power items relate to a specific stat of the Pokemon as you can see it says it in the description below power bracer being attack power belt being defense power lens being special attack power band being special defense power anklet being speed and power weight being HP let's talk about Wulu for this example Wulu is going to again yield you one EV per kill which means normally you're going to have to kill 252 Wulu power items give you four EVs of that particular stat that the power item does if I'm talking about a power belt I'm going to be getting four EVs of defense along with that one EV of Wulu which totally makes each Wulu knockout five EVs in worth which means with a power belt okay and a knockout of the Wulu you're going to be doing about 51 knockouts which is better than the macho brace now with the Pogiris and the power item combined for that specific stat you're going to only have to knock out 36 Wulu that is it 36 Wulu and you max out a stat and you're not really spending any money at all to max out that stat so think about it like that now let's say for example you're still knocking out Wulu but you want to use a different power item for example I'm knocking out Wulu but I decide to use the power bracer well each Wulu is going to give me again one point in defense each in its EVs and the power bracer will be giving me four EVs in attack with each knockout so basically I'm getting four attack EVs and one Wulu defense EV if I'm using a different item so most likely the most efficient way would be using the same power item that you would like to train with the same type of Pokemon that yields the exact same EV so likewise pick the appropriate power item that you want to use it only costs 10 BP and apply that to your Pokemon and please note the Pokemon that we used in these examples are all one EV in this video you can find different Pokemon with higher EVs as in two or three down in the description below I will mention a link where you can find all the different types of EVs so you can hunt better ones okay so this next part is about EV reducing which means it could be two things you're either one of those trainers who have a really good Pokemon and just decided to battle all these random Pokemon and its EVs are all over the place and now you're like okay I need to reset completely well this part's gonna help you as well and if you're one of those trainers who also are maybe late game and you're like I want to try a different build on this Pokemon and change its EVs around and play around with this nature well you can do that in this guide as well so what you're gonna do is you're gonna need EV reducing berries now these berries can be found in trees throughout the whole entire Galar region you just shake the trees they drop berries and you pick them up so what are these berries well let's take a look there are six important berries that you need to know about in Pokemon Sword and Shield we have the Pomegranate Berry which is responsible for HP we have the Kelpsey Berry which is responsible towards attack the Coalate Berry which is important for defense the Hondu Berry which deals with special attack the Greppa Berry which deals with special defense and the Tomato Berry which deals with speed now this is important to know if you have over a hundred base stats in a specific stat let's just say I have 200 base stats and speed the first berry that you give to that Pokemon will reduce it by 100 and every berry after that will reduce it by 10 does that make sense so for example if I had 200 EVs and something and I use my first berry it's going to knock it down to 100 and then I just have to use 10 more berries because the following berries will just reduce it by 10 to reduce an EV stat completely from maximum amount you're going to need to use 11 berries please note that you do get EV reducing berries from berry trees that you find throughout the Galar region so go ahead and just find those shake those and start collecting these in case you need to reduce EVs on Pokemon you like that you may have messed up with so to summarize the best time to EV train would most likely be post game not early game because you can correct your early game mistakes but if you're that type of person go ahead I'm not going to stop you from it if you're a late gamer or post gamer the best options are the money method where you have to spend five hundred and sixty thousand Pokemon money to get what you need to fully EV train or you could do the simple power item with the Pokemon that is Pokeris while going after the exact same Pokemon that you need which would be 36 kills or less in order to get the Pokemon stat of your desire and if you make any mistakes just use the berries that's pretty much sums it up or the whole entire EV guide let me know what you guys think down the comments below I tried my best to make this as simple as possible for you guys to understand while using one EV example Pokemon and I wanted you guys to understand it while also being able to skip around and go to where you need to in the video so if you enjoy this video make sure to like comment let me know what Pokemon your EV training subscribe hit that subscribe button somewhere I don't know where it is and join the discord server where we have lots of fun about Pokemon stuff and we're going to be maybe trading EV Pokemon training tips and get more information there so that's going to be in the link down in the description below as well so I'll see you guys in the next video this is Philly beats you thanks for watching I'm out


I'm Corey Hammond from Butte Falls, Oregon, and we moved to Butte Falls in January 1st of 1980. We moved into our home that we built from our own logs out on Open Chain Road. And I homeschooled my kids, and in 2005 the kids were all grown and everything, and the totem pole restaurant here came up for sale, and my husband kept insisting that we needed to buy it and keep it open for the locals. And I thought he was joking. We had no experience with the restaurant world because we were so busy with logging and doing meal, lumber, work and that kind of thing. So anyway, we bought the sugar pine in December of 2005, and it's been a big learning experience, but it's been a great thing for the town. We've employed numerous people from the town here and high school students, and they learn a lot just working here. And it's a great place for the people to hang out and talk over whatever is bothering them or the local news for the day, and it's just been a good thing. It's very important. We've had numerous catastrophes or whatever in our area here, and everybody comes to the sugar pine to talk over it, to work through it. We've had fires flooding to where we open and feed, make sure the people are fed. The fire department, while they're out on a call or whatever, we are here for them. And it's just a great place for that kind of thing, for the people to get together and know that we're here. Joyce Helica and I both knew quite a few people that we thought would be good to be interviewed today. And so I either invited them personally or sent out a letter, your thing that you emailed me, and invited them that way. And then Darwin shows up with all of his notebooks and pictures and everything, and it looks like you had a good turnout, but the people were really excited about it, telling about our history and everything that goes on around here. I love how everybody wanted to talk and tell their stories. People love to come back to Butte Falls that have lived here in the past, and they have good memories from Butte Falls. Right now we're actually going through a bit of a iffy time with things around here, but it seems to be everywhere right now. But we get through it, and yeah, I grew up in Eagle Point, and when my husband first moved me up here, I thought I was out in the middle of nowhere. But I started a ladies' home extension group with my mother-in-law, and I started to meet people and then started to get busy with the church and that kind of thing. And it's just, it's a good place.   And so we've gotten together as a big group and done numerous fundraisers for him.  And we took in $1,500 last year, normally it's $700 right about, but last year people donated $1,500 for Carter, and that's the kind of things we do, lots of those, yeah. So but it's a good place to be. I love my old guys that come in every morning, and you know if one of them doesn't show up, I'm calling them on the phone trying to figure out where they are and making sure they're okay. How does the coffee work? I see everybody makes it themselves. Some mornings when we're really busy, the morning cook is here for five hours by herself, and so there's one or two guys that'll get up and make the coffee the whole time, you know, and help us out, but yeah, and they have their mugs on the wall, yes, yeah. And lots of people when they come in, for the first time they notice that, you know, the wall of mugs, I think it's pretty cool, yeah. Sometimes I'm still surprised they have a restaurant because cooking's not my favorite thing, but when we bought the place, I wasn't planning on doing much of the cooking, like the grill work, but things happen and sometimes you just have to do it, so I do breakfast mainly, and I really do enjoy it. I'm only having to open two mornings a week now because I have Kelly, my other cook, which is great, it's a big relief, and so but I really do enjoy being here even on days when I don't really have to come in, I still want to come in, you know, for a couple hours and check on everybody and make sure everything's going okay. Tom and Doug, the two guys with the keys, they're here by before five in the morning, before anybody else, and they unlock it and they start the coffee and turn the lights on and the heat, you know, that kind of thing, so before we're even here, yeah. And it's important to them too.