Hi everyone and welcome back to another episode of our road to ranked roulette series. I hope you're all doing well We are here. It's Friday. We are ending up the week with this team We've had an incredible ride so far if you've missed any of the episodes from this week's cycle with our road to roulette team Then click up here You can go back check out the episodes come back to this one because things are heating up Really nicely gone into this last one today. We are on a record Sounds crazy. We're on a record of five losses three wins So we can tie up the week today with two wins That's all we need and we just need to make sure we're taking our time We're believing in our Pokemon and we can really do this Chameco Probably is being one of the stars of the show for sure And and Perloin since its introduction has been incredible. So I'm feeling really good about everything mega and for us It's just a beast. I'm really looking forward to the day The team is always is down in the description below There is a role-pasted and poker pace of the team and make sure you get your nominations over in a community section of the channel There is a Paul there Asking you guys to nominate Pokemon for next week's team So make sure you jump over there nominate a Pokemon and it will be thrown into the wheel for next week's roulette team So make sure you get over there right away Do that and it can be any Pokemon you would like but without further ado, let's get into this final episode with this team It's gonna be sad to see this team go. I've really enjoyed it this week It's been incredibly fun to play and I hope you guys have enjoyed it as well As I say, we're sitting on a record of five losses three wins So we can tie things up today if we can just get a couple of wins and that would be amazing It could all go wrong of course depending on how we play what we come up against But I believe in the team and I think we can do it I think we can do we're gonna start with Giovanni some music to kick us off today Hopefully doesn't take too long to find an opponent and as always guys if you do enjoy this content Please remember to drop a like on the video to subscribe to the channel and remember to leave your comments down below Let me know what your thoughts are on the games that we play what Pokemon You'd like to see featured going forward as well in this series And if you've got any additional ideas for bonus buttons or different rules that we can integrate within the series Do let me know down below. I would love to hear from you guys going forward. So It's looking like it's gonna take a little while to find an opponent So I'm gonna just cut it here And we'll come straight back to when we find that first opponent of the episode And we've got a first opponent of the episode from japan 1539 ready players So we'll jump straight into team preview and see how we can get on this one today Ah, this looks hard. This looks hard We've got a first opponent playing the team of groudon donwings the cross matapulele incinero Kangaskorn and smugle so Predominantly is it going to be trick room? It's probably going to be tailwind with ultran across my pedo with that tabulele there So it's going to be a little bit difficult to get around these pokemon for sure Perloin It's going to find it difficult definitely to operate for sure We definitely need trick room I feel in this game But this feels like a really tough matchup in general Perloin could be very good, but it's the slower fake out of Two of like there's three fake out pokemon, but if that psychic terrain goes up Um, do we bring chameco? probably Let's bring chameco. Let's bring perloin um Do we bring perloin in the back to switch in? No, I don't think we do. I think we bring that Um, do we bring the cross matapulele to this game? Probably not Let's bring cure and black for sure um An amphros mega amphros Should we go for mega amphros or should we go for sylvian? um If you can get the trick room up mega amphros is great. I'm going to lock in with these I'm not feeling I'm not feeling massively confident about this matchup This matchup feels really hard I think we've got to play out of our skins and have a little bit of luck on our side To get a result in this one But you can never give up or lose lose that hope that you've got that you can do something in a mechanic game like this So Let's see what we can do. Um Okay, perloin Chameco chameco really not in a good place right now um Perloin's not in a bad place um Especially with the fake out there We can shut down the incineroar for sure, but we're not going to be able to get a trick room up Cure and black is probably the best thing to bring in with your solvest to soak up an attack from the unicrosma um Do we just fake out the incineroar? uh I mean the dawn wings isn't really pressuring us too much from a perloin perspective So I think yeah, we'll just shut down the incineroar. I mean, we could see the top of lele come in We're not going to I don't think Because we would have seen them switch up before us um We just do get that fake out into the incineroar preserve the sash on the um Perloin and we're going to see the eject button activate on that incineroar Which is a nice tech there for my opponent. I wonder if we see a trick room set up from The dawn wings now. I wouldn't mind if that is actually the case I really wouldn't like if we see If we do see trick rooms that I'm actually That helps us out a bunch But I don't have fucking no So ground on hitting the field Trick room Nice, okay right now I'm gonna go for a charm and an earth power into the ground on here And we'll see I mean we we might see the incineroar come in for then across my here It probably does feel threatened from the perlin potentially it might stay on the field though But the ground on definitely susceptible to to charm Uh lowering that attack by two stages So it's not going to be hitting as hard as it would be normally as long as it's not um special variant as the earth power Wow Doing so much damage pull perlin. Can we get through this turn that? Oh, it's special Oh No Okay, so the charm doing nothing there Hey, we are gonna get an earth power into the ground on which is which is good. Um, definitely Definitely good Um, and we lowered special defense as well Um, so maybe a dragon pulse can get it To make it out for us after that drop Because we do have shadow ball with our Cure him so we can hit into that dawn wings and do some nice damage there It's all about whether the dragon pulse can get the ground on from this range And I'm gonna say I'm gonna say we probably can um I'm for us is deceivingly powerful Uh, so let's go for the dragon pulse into the ground on it's mega evolve and go for that shadow ball into the dawn wings And see if we can pick up the knock out there. We're going to see the ground on switch out So like the incident we're all going to come back onto the field, which is fine It's going to go for that intimidated shuffle We've seen it do so many times before What's the dawn wings going to do? I wonder if it has a z move that would be a little bit worrying If it does because it's going to be able to get that off before we can attack with cure and black We do get the mode breaker activated. Let's see what the dragon pulse damage is like into this incident It's going to do too much damage Wow Yeah, this is a z move Oh Oh, no, are you kidding? It's tectonic rage Oh, it's a groundium Out of everything we could have just magnet rise there as well with amfross Can amfross take this I doubt it is no way No That's that's disappointing. That is very disappointing. I wonder if her shadow ball will be able to get this cure I don't think it will be no No chimeko coming in Uh, we do have the hypnosis that we can maybe utilize here So we've still got a lifeline a little bit of a lifeline. It's the tapu later It comes in later though that becomes a bit of a problem and the fact that we can't protect with Oh man tectonic rage. What? What? Um, okay, let's go for an earth power No, do we go for earth power into incinerole? No, I think we go shadow ball and hypnosis Yeah, hypnosis incident across my hopefully get that on onto it I think we keep our z trick room if we can for later in this game It's just not I just don't see it happening though fake out coming out into Yeah, okay We needed that we needed that to hit. We really did need that to hit It's gonna go for the moon guys being this is probably enough to get a chimeko and I think that's gonna be game now the The the tech rage was just too much for us. I just didn't expect like I don't expect that z move I expect the the ghost team. I don't expect the tectonic rage and best of one What can you do a what can you do? We will go for a shadow ball. I think it's all but over now. We're down to one pokemon. My opponents still got four pokemon I didn't like the look of this matchup when we first started Losses six wins three we can only we can only make this a six four A six four result, which is a little bit unfortunate. There's the moon guys being and my opponent taking the win there Hmm I mean in hindsight what we could have potentially done with pearl line as well as went for a foul play into that dawn wings Which would have maybe been a little bit better than than losing it to an earth power The earth power was an indicator for my opponent Early on but showing what a a difficult matchup that was but will not let it get to us We'll we'll try and get a win to finish off the week. That's the main thing if we can have that last that last Game with a win that makes things a bit better, doesn't it? It's so tough to take though. I've got to keep reminding myself as well, you know I get I get so upset with like the the losses and I think I want to be doing I want to be doing better for this series So it's a bit more entertaining and and we're doing stuff But you've got to remember that I keep reminding myself We're using like pokemon that I never used before against teams We're at the end of a season as well Where everyone's got a really solid team as well. So we're using them and any wins we get are like a real bonus And I do think as well as we go on We're going to have weeks where we get a really good selection of pokemon Where we get all the utilities that we need like like one of the things I was mentioning was the pearl line Like the fake out support or redirection support if we get tools like that in our team that we can utilize It makes options so much more viable So pearl line is a great option that we've had this week. The little kitty is doing so good Probably one of my favorite picks as well this week. I think it's been amazing since it's come in but um We need options like that to help us get to get Get a cohesive team to get things going and and to get memes going as well We need those options to kind of marry up. So we need to pokemon potentially with two Two things that can help us get a meme going. It's you know a strategy going It's not like you can have it on one pokemon, but if you can't support it with the rest of the team It's just not going to work. So sometimes it's not going to work. Sometimes the days we've got the bonus buttons Which are going to help we're going to have a brand new bonus button next week. So we'll be introducing that on Monday So I'll be you're excited for that guys. Um But we'll finish up with the cross my vision to music to data and homage for Cross my it's going to take a little bit of time to find our next opponent So we'll cut right now and we'll come straight back to when we've got our next opponent So sit tight and we'll be right back my friends and we've got our next opponent of the episode So let's hop straight into team preview and see what we're going up against now Okay, so our next opponent is running a team of kaioka tapu finny meta cross the toga tomorrow Incineroar and requiser. So we've got a real good call We've got potentially two megas on the team between the meta cross and that Requiser we've got very little speed control my opponents end of the field They've only really got icy wind No options of trick room. No options of tailwind You're going to look at this team and think probably more like a trick room team Now the beauty about cure and black is it does have that terravolta ability which we'll ignore The toga tomorrow as well as our amfrost So if my opponent tries to protect their kaioka tapu finny from these elective type attacks with that pokemon It's not going to work So I think the one thing that we want to try and do is definitely try and get a trick room up and then get Cure black and our amfrost onto the field and start checking out some damage Yeah, I think the selection is fine. I feel pretty confident in this matchup So I feel like we can actually do some stuff here So hopefully it all works out pretty nicely for us and we can do some get a win to end the week It's all we want is one as one more win And I think if we can get four wins in a week, that's not bad. That's like two days of straight winning When you look at it like that if we can get another win Which isn't too bad But we've had that we had that incredible win the other day against joe's there Which was which is really worthwhile And I think like I said at the time when you get a win like that It makes the whole series the whole week worthwhile, doesn't it? I'm going to see metagross and tablifini come out for our opponent here We're going to see the tablifini activate that misty surge get the misty train onto the field protect against any sort of stars conditions And then the metagross come out pairing up with it as well very nicely. Um Tablifini could have taunt For sure. Do we go for just a trick room rather than the z move or do we go for it? Um, I think we go for the trick room Definitely. Um And probably just fake out the tablifini here. Yeah Fake out the finny get the trick room up Just I don't want to get taunted by the the finny here could potentially go for that And that would put the stoppers on everything we're trying to do We don't want to use that as a move just yet. We might be able to utilize that later on in this game Um as we do get the trick room set up now from our side of the field I wonder if we see metagross go for It's mega evolution now If it does that's that's not bad. Uh, chameco probably better off getting anfros onto the field now than acura and black And we could on call that metagross It's a nice option. Um, and I think it will go for the on call just to lock it into that protect And perline cause and all sorts of havoc it means that anfros gets in and it's got a little bit more time to to maneuver We are going to see the metagross go for that mega evolution here. So We're not too worried about what it does though because we're locking it into that Or our protect bear that we've already seen. So there's the on call perline being a boss the boss cat Best cat I would argue there's a taunt now coming out from the type of finny into the anfros But that's fine. We don't mind about that now metagross gone for the protect there And it's going to be kind of forced out now. I'm going to mega evolve I'm going to chuck a thunderbolt into the metagross and I'm going to go for an on call into The type of finny to to lock it into that on that that taunt prevent it from doing anything here Metagross going to switch out. We're going to see coyoga hit the field ideal for us here So we're going to be able to get a big fat mega anfros thunderbolt off into that Put it in range for a knockout the next turn and we're keeping this pressure up on My opponents side of the field and perline putting in all the work here For us really being able to uh to shut down what my opponents trying to do Just got to keep in mind that we've got to have that We've got the the trick room in the back So we want to try and make use of that again later in this game if we can because we're probably not going to get The majority of work done in this this cycle of trick room that we want to be able to do We do get the on call into the type of finny and now shut that down by locking it into that taunt Which we don't mind. It's probably going to go into the perline anyway. Um, and if it does, that's fine If you switch out this next turn pretty safely. Wow look at the damage there critical hit. Okay It's been unfortunate. Oh, we're going to see a twinkle tackle come out from this type of finny It's going to be into an anfros and we're going to lose it Oh, no No, I don't want to lose anfros just yet Oh, no, it's going to be guardian of a lola Okay, that's fine. I mean I prefer this to a twinkle tackle, which probably would have taken anfros down We'll take us down to um 25 health, but that's all right. It does put us in range for an an extreme speed Uh, but what we'll do we'll just go for a far play into the coyote We'll go for a thunderbolt into the tap of finny and remember it is locked So it's likely going to switch out if it sticks around it's just going to taunt stuff. So that's fine The perline sitting pretty happy now still good at sash Still going to be really able to disrupt and do a lot of damage to the majority of things Metagross going to hit the field once again. You're going to see it take a thunderbolt in the in the process here um Kyle just going to protect And puts itself in a really awkward position where it can be Uncalled this next turn do you get the thunderbolt into that metagross and do some really nice damage there? And I think what we'll do our taunt does we're off. I'm going to thunderbolt into the coyote I'll go slow this time. I expect the coyote to maybe switch out here I'm going to file play into the metagross. Metagross could go for bullet punch here But it is it isn't going to be super effective against anfros. So I would say we're probably quite likely to survive this Yeah Yeah, confident Quietly confident. Um, and yeah thunderbolt picking up the knockout onto the coyote here and file play We'll be able to get this metagross Heavy rain lifting and this might Be close enough for us to start doing some good work Our trick room is going to end pretty soon, but we've got to remember here does end now Ready for that type of finny to come back on to the field We do have chameco in the back and we've got acura and black as well. And if it is the requiser Along with that type of finny We do have charms so we can really reduce the the attack and power of the the requiser If we would like to We've definitely got to watch out for the taunt But the thing is we've still got a z trick room that we can utilize with chameco So that's the beauty about not utilizing that early on. I'm going to switch in chameco here I'm going to go for a charm into requiser. Hopefully try and reduce that attack Start down by two stages and really make sure that it's not going to be effective at tall going into the turns of this game. So there's anfross taking a break Probably won't come back in until that requiser has left the field Okay, we're going to see requiser just go for a protect here Do go for the charm type of finny going to probably taunt the pearl on here here Shut that down finally once and for all and stop us from being able to really do very much damage here.  It's just the idea of trying to get pearl on back in Untaunted with that fake out so we can make use of the trick room here from Chameco And then get curing black onto the field which would be able to easily deal with Either of the the type of finny probably the mega ray once my opponent has decided Well, they can't actually mega evolve the ray because in the metagross I do forget. So it's just regular old ray here. Yeah. Oh sword stance. I'm not so good It's not what you like to see. There's a taunt there. Okay Things get a little bit trickier now. Um, oh, this is tricky.  I think we probably see a taunt into the pearl line here But if we do lose our frost it does mean that we're going to get the Chameco back onto the field so Yeah, yeah, and then the taunt I imagine from Yeah, okay, that's fine You get the Chameco onto the field And we need to fake out the ray And then Z trick room and then we've got the hypnosis Z trick room It's easy enough for the the type of finny just to taunt at Chameco here, which is fine Um, the problem is though that we can't really utilize as a trick room Oh god from moon blast huh It's interesting So we're actually going to be able to utilize Especially if the uh misty train disappears this next turn Which it quite possibly could We're going to be able to stop putting things to sleep if the misty train i'm sure it does disappear this turn No, it must be the next turn um What do you foul play? Do we switch? i'm going to foul play the ray quasi And i'm just going to protect do we Hypnosis as well No, i'm going to protect Chameco because the ray could protect you It's not likely to Yeah, it does protect actually, okay, that's fine There's a taunt trying to shut the hypnosis down yet Oh And uh, okay, this is this is ideal um Let's go for can we lock the ray quasi? It's going to go for extreme speed. I'm going to try and charm it And i'm going to go for the hypnosis into that type of finny It's going to extreme speed. Yeah into the pearl on to get rid of it Yeah, that makes a lot of sense But if we can shut down this type of finny that makes things a lot easier for us Because we can try and shut down this ray quasi the next turn hopefully chameco can take a plus two extreme speed Not sure if we can but We might be able to Okay So let's get in cura. I think we've got to attack the finny now with fusion bolt And go for the hypnosis into the ray quasi So yeah fusion bolt the finny And hypnosis the ray. I think the ray probably protects here That's that's why i'm making this play because I think you try and stall out type of finny waking up. Yeah And if you can wake up this turn you obviously get the taunt into The chameco, but this is why I want a fusion bolt here And then the next turn we can actually just double up the ray with an ice beam And a psychic rather than the hypnosis Type of finny stays asleep So that's fine and we should be able to lock this one up It's not being as straightforward as you can kind of imagine it would have been Ice beam into ray. It's sash is broken. We can go for that hypnosis as well It has to get the double protector now. I think my opponent has to it's gone for extreme speed. Can chameco Oh, it's into curing black. That's fine. We get the hypnosis there shut it down So if this ice beam for some reason doesn't pick up the knockout, which it's definitely gonna We're in such an incredible position next turn to pick up a knockout Onto the finny we've got to be careful with the moon blast Of course, it's still going to be doing a decent chunk of damage But it actually stays asleep. So we're in an incredible position to potentially close this one out Dimensions turn back to normal Um, but a fusion bolt Like we should take a moon blast from the finny. Um, and I'm just gonna psychic as well Because I think chameco even from this range is going to be able to pick up the one on one Even if we're just going to see another taunt here just to shut that trick room down But not going to go for it now. The fusion bolt will be enough and curing black and chameco Picking up the victory for us in this last one. So End of the week We are sitting on four wins Six losses. I think that's right. I think that's right. Yeah So we've had we've had more wins this week than we did last week, which is good And I think the team has proved itself to be worthy enough. It's just got some pretty bad matchups like august This is terrible. Um, we're relying heavily on something like perloin To to help us out there, which is maybe a bit too much at times But I mean the team's been incredible massive props to each and every one of you for all of the suggestions that we had Nominations for the wheel this week. Make sure you do get them in for next week. I hope you've enjoyed this run with the team I've had an incredible time this week. So I'm hoping you guys have enjoyed it as well We'll be back on monday with a brand new wheel Our fortune where we'll get our new team of six So make sure you do get those nominations in over the over the next few days Um to make sure they're included in the wheel for monday's episode And uh, we'll end things up there guys.  Thanks so much for tuning in ticket and bye. Bye


Two months in counting and quarantine and needless to say we are craving an adventure. We wanted to find a way to satisfy our wonderlust while social distancing. So we rented out a Jeep for the day and this is how it went. We are picking up our Jeep for the day on South Congress. So we're actually renting this car off of Turro. It's an app that I've known about for a while. I think my brother actually maybe used it in the past but basically if you're under 25 it's just kind of a little bit more of a charge for being underage technically. So it's like $25 extra a day since I'm only 22 years old to rent it. So we're going to trade in my BMW for a 2015 Jeep Wrangler Unlimited today. So it's going to be a little bit different than what I'm used to. We're going to take this home and see if we can take the doors off of it. Then we're going to charge us like $150 just to take the top off. So we're going to try to do it ourselves and see if it works out. Damn. So we're going to undo this latch, undo this latch. And then this one's already undone.  We're ready to take the Jeep out. We're going to go to Westlake Hills first and then make our way to Lake Travis. Ryan and I's favorite thing to do is go on long drives while looking at beautiful homes and Westlake Hills has an abundance of stunning and unique houses. While we were in the area we decided to drive under the Pennybacker Bridge. There is an amazing lookout on top of this limestone which we didn't go up this day. But if you're ever in town I highly recommend checking it out at sunset. So we got ice cream, a little midday snack and now we are at Lake Travis. There's not really many places to view it because this Tom Hughes Park is closed down because of the cold quarantine stuff. But we're going to try to fly the drone over the marina and hopefully get some really good footage I saw. The water it's so blue it looks beautiful like Italy water or something. So I'm really excited to fly the drone and see what it looks like. And I'll be testing out a new setting. I think I want to try like D-log.  So we're going to try that out today and let's see how it goes. Like I said a lot of the parks are closed around this area but we found one and it's open. This is called Jessica Hollis Park so we're going to enjoy it and wait for the sunset. We have been driving around this Lake Travis area but we just arrived at the infamous oasis. This has like the most pretty view. I heard the food wasn't that great but the view is amazing so let's go check it out. We're on our way back to the marina. We went there earlier today because I want to see the sunset and fly my drone there. I didn't know where to really fly my drone off the oasis like because there's like all these balconies and you kind of have to like make sure the overhead is all good to go. So I thought we should just come back to the marina and do some drone stuff and spend the last battery we have. We actually just quickly stopped right over here. We pulled over because I saw that the sun was shining through beautifully through the trees so I wanted to get a few beat roll shots. Adventure day is ending. It is 7.30 and we are just kind of waiting for the sun to go down a tiny bit more to fly the last of the drone battery. It is literally on 36 percent. I'm pretty sure I charged both of the batteries like a while ago so maybe they just were like sitting there and lost battery charge which sucks but I should have known and now I definitely learned my lesson. Charge them the night before even if you think you charge them. But this was really fun like I'm glad we did it. I feel like a Jeep is like very scary if you're not used to it though because like I literally was like so tense like I was trying to hold my phone like my camera and like just my shoes like I literally thought my shoes were going to fall off. Mostly because the doors are off though not just the top it wouldn't be like for sure yeah but I still don't really like the feeling of like the wind. I mean obviously I'm a girl like I have hair you know is like getting all up in my face. I don't think I would like prefer this for an everyday thing but it was so fun like today. I'm glad we did it because I feel like we've been saying we were going to do that for so long so I'm glad we did it. Me too. Maybe next time we'll get like a convertible instead of like no doors. Yeah that'd be cool. We were going to get a convertible. This was the same price I've been wanting to do a Jeep for a long time. Yeah I feel like a Jeep is cool. I'm sure it's my GoPro asking it for no reason. I don't know what we're even going to use it for. Oops I told him to like find it because we didn't even know where it was and I thought we were just I thought we were going to use it but we ended up not. If you guys were wondering I filmed this whole vlog on my Sony a7 III with the 24 millimeter 1.4 G master lens and the drone footage is shot on the Mavic 2 Pro. It's nice out to enjoy the weather since everything's still closed right now so we went on Turro I found a Jeep that is $56 a day a Jeep Wrangler. I'm hoping we can take the top and the doors off and drive it around we get 200 miles only $56 a day but since I'm not 25 it's extra $25 and then $15 on top of that so it makes it $96 for a day I think we should do it.


So first I want to start a show of hands. Who has a car? Who has a car that they drive? Alright, lots of people. Who's found themselves wanting to pull their hair out when they're unable to find parking in that car? Yeah, big issues, right? So for me, I live in San Francisco and to give you an idea, this is an example of a parking sign. I don't know about you, but I can't even tell when I should park there or not, so I'm just going to keep looking for other spots. And this is actually really common around San Francisco and around a lot of dense cities, where parking rules can change depending on the hour of the day or the day of the week. And this is something that's a real issue and people get parking tickets all the time. I probably have way too many to be proud of, so I'm not going to tell you how many I actually have. But so it's a really difficult problem and especially with autonomous cars coming to fruition, this is something that we're going to have to be able to take care of automatically without having to figure out where someone can park or what time they can park. So what we want to be able to do is actually detect where are the parking signs and then extract the rules from those parking signs so that we can actually have intelligent information and avoid getting all those pesky parking tickets. So just to give you an idea, there's actually been a lot of work that's done in this field. So here you can see there's actually been pushes to redesign parking signs so that they're actually more easily readable, so you can just look at the parking guide and see, okay, am I able to park here or not. And there's a variety of reasons why we want to speed up this process. For one, it makes the streets a lot safer. So I don't know about you, but sometimes I'm driving down the road and suddenly the person in front of me stops because they're reading six different parking signs on the side that cause all kinds of traffic, it causes pedestrian issues. And so we want to avoid a lot of this. And what we can do is actually leverage deep learning and machine learning to actually help us reduce these problems. And there's even apps out there that are actually trying to fix this issue. So Spot Angels is a popular app that people use in San Francisco and they actually give you regions around the city that are available parking. But again, this isn't anything really intelligent. Basically what they do is they just go around the city and kind of index where all of the parking spots are and then predict whether or not it's going to be available but no one's actually doing any real deep learning or AI on this problem. And so once we have apps like this and apps that are actually intelligent you can start to imagine getting parking notifications to say, hey, your parking is running out. This parking section is going to turn into street cleaning in the next 30 minutes. So you might want to move your car and avoid getting towed or getting a ticket. And this is something that is really applicable to a number of different areas. So really how can we leverage AI to help us facilitate these parking issues and make sure that we can avoid getting tickets, improve the traffic situation, and help pedestrian safety? So for one, I'm sure many of you might have seen these Google cars driving around. So why don't we just use the information that they've collected on their cameras? You can see they have nine directional cameras on the car and there's a number of companies that are doing this, Google, Microsoft, here, Technologies. They're all really trying to map the world and understand not only parking but buildings and streets and signs. And so we can actually, there's a lot of this data that's available so what we did is we actually pulled a lot of the images from the Google API Street View to actually collect the data that we really need to create these models. And what we have to do is actually structure this data, right? So when we pull this information from Street View, none of it is structured.  And so we actually went through a process that I'll walk you through of structuring the data and actually creating clean training data that we were able to train our model with and get a pretty accurate model. And just to walk you through, there's actually a number of challenges that we saw. So just in San Francisco alone, there's a wide variety of street signs. So there's street cleaning, you can park for two hours, one hour, no parking signs, et cetera, et cetera, et cetera. It keeps going on, right? So this is a wide variety of issues that we want to try and solve for. And then not only the parking signs, but there's also a lot of occlusion, right? So if you have trees growing on the street, oftentimes the parking signs are going to be occluded and it's really difficult for a camera to see these from that might be mounted on a car. And so we want to be able to handle all these cases as well so that, again, we have the most robust system that's able to accurately tell you whether or not you're able to park in a given location. And on top of that, it's a really messy world, right?  But it's a public spot so you should be able to park there. And so we want to try and avoid these sort of signs that don't actually mean anything when it comes to parking in that location. So these are a few steps that we took to actually clean the data, get the right sorts of annotations that we needed. So when we downloaded the data, this is the type of data we got. They're all panoramic images. And I'll show you how we actually went around collecting those images. But we collected a lot of them and then broke them into segments of images so that they're more digestible by human. And then what we did is we have a human annotation platform at Figure 8. And so we actually ran this data through a first pass to remove any erroneous data so that we can only focus on the images that do have parking signs. And once we were able to do this, then we went ahead and created the next job where we had these humans label all the signs in each of these images. And so by doing this, we're actually creating all of our training data and really streamlining it so that we don't have to actually manually identify where every single one of the boxes are. And this is again one of the advantages of Figure 8 having a human platform so that we can quickly get a lot of this training data. And so you guys know this data is actually available online. So you can go to this figure8.com slash data sets and we have a number of this including others with audio and open images that are free to download and this is the data set that we actually used to train this. So we have almost 3,000 annotations of parking signs in this data set. So how do we go about building the models for the parking sign detection? This is kind of a diagram of the sliding window detector. So you can see that you have your query image and then on this we actually compute gradients to pull out the feature vectors for the signs. And then we had SVM that was trained with a single class for the sign detection. And then we had a number of steps after to actually improve the accuracy of the model and remove false positives and avoid false negatives. And so here you can see that gradient feature extraction was used in 96 by 96 filter in these color spaces. And then we had this linear SVM trained on a single class which was just for parking signs and then using open CV to do all of our image processing. And then these were some additional steps that we took to actually improve the results of the classifier. So one of the things that we wanted to make sure is that any box that we saw only was associated with a single sign and each sign only had one box. So that's why whenever we had more than 70% overlap of boxes we actually removed one of those boxes. And then we also had to mine for missing attributes so that we could remove the false negatives and then using this SVM to actually improve the... or reduce the false positive rate. And then what we wanted to do on top of that is actually localize so that now you can detect the signs but we want to know where is the sign located in the geography and what part of the street is that sign associated with. And so the way that we did this is when we were collecting the data you actually collect the same sign from multiple viewpoints and so you can really triangulate where each sign is on the road and use that information to actually identify what parts of the street this sign is applicable to. And here you can see just some of the evaluations that we did so we're able to identify where each of these parking signs are. Obviously it's not perfect so you can see that it's actually missed a sign. But this is like what I said the way that we collected the data is we selected one mile by one mile areas in San Francisco and then we used the Google API to select random coordinates within each of those regions and then pull a 20 meter radius of all the images. So within any given region we had about 2,000 images that we downloaded and then like I mentioned previously we split those images up and then only extracted the parts that had parking signs in them and then sent those to the crowd to get them labeled. So to walk you through the deep learning models we actually used two models, YOLO and SSD to do our tests. So YOLO is you only look once and this is a really lightweight classifier so the idea is that you can classify a lot of images really quickly and it's pretty good at low false positives. However with the SSD although it's a little slower you actually improve the accuracy generally and you'll see better detections and more accurate boxes come out of the SSD. And so to show you the YOLO architecture this is what we used. So we had 19 convolutional layers and 5 max pooling layers.  And then you use a max pooling layer and you can kind of vary the size of the max pool to take the maximum value. So based on these RGB values you'll take the maximum and that's how you'll actually build out each of the layers of the network. And then so we had this pre-trained model that was trained on ImageNet and then we used transfer learning and fine tuning to basically adapt that model for this specific use case. And what we did there is we removed the last convolutional layer and replaced it with a 3 by 3 with the 1024 filters. And then we ran this model through 160 epochs on all of our training data and then used our validation data to check. And we actually went with a really low learning rate and reduced that throughout the epochs and that way we were able to really fine tune what we're specifically for this parking sign use case. And this is actually from the preliminary test that we did with our validation data. We saw some pretty good results. So as you can see the YOLO has a really high sensitivity meaning that when there is a parking sign in an image it's actually good at detecting that there's that parking sign there and that's something that we were trying to optimize for so that we don't miss any of these images or any of these parking signs throughout all of the images. And here you can see some of the predictions so you can see the box around each of the signs and we actually, it's pretty robust so it works on signs that are far away as well as signs that were partially occluded so we actually got some pretty good results there. And then there's also these challenging cases so oftentimes depending on your field of view you might have a very, very acute view of the sign so this is something that we actually want to attribute for in our next round of data is to actually have more of these cases so that we can detect the signs. But one of the things with these cases is in the real world you're going to have a lot of this sorts of data and even as humans, like when I look at that second image I can actually tell what's on the sign I can't read any of it I may be able to tell that it's a parking sign and so what we want to do is actually figure out smarter ways of not only detecting the signs but figuring out how we can use different fields of view and different sorts of like camera locations to actually get the most out of our data that's on these signs. And then when we also worked on a SSD the single shot detector and we actually used a different approach with the active learning approach so we did the same sort of normalization with the images initially so we got the panoramics we broke it up and took only the images that had parking signs in them but instead of labeling all of the data and sending this through the model we actually only selected 1% of the images and had those labeled from the crowd then what we did is we used the active learning approach to we trained a preliminary model of 1% of the data and all of the other data we fed it through the model each time and as the data was classified we used all the high confidence predictions we just took those directly and any low confidence predictions we actually sent that back to the crowd for labeling and the idea here is that not only did we want to test out how we could build a predictor for parking signs but we wanted to test an active learning approach to reduce the amount of data that was required so we actually did this and we went through three rounds of results and as you can see the results weren't as accurate as with the YOLO detector but we were able to use a lot less data and pay for less of that data and so with active learning you can actually spend a lot less and depending on your application that might be fine to have a lower accuracy if you can save a lot of money and that's what we found out in labeling costs then what we did is we actually tested this on signs outside of San Francisco so all of the data we trained on were within SF but then we wanted to test in New York and LA and as you can see we were actually able to detect the signs but as we move on what we would want to do is actually take the data from all of these cities individually and use a fine tuning and transfer learning approach so that we could build out specialized models of these because although the signs may look similar they're actually quite different in their content the types of street cleaning types of parking rules and so we would want to specialize these models depending on the city and country that you're in and so some of the future work that we're looking at is actually extracting the rules from this so what we did with this first set of data was just to detect where the signs were and now that you detect where the signs are we want to pull out these extract the parking rules from this and so this is kind of like an OCR task that we would want to do and understand what is the text on the signs and how are those rules correlated so on any given day of the week I'm going to use my contextual information of what time is it, where am I, what's the date and know whether or not I'm able to park in those locations and again as you can see there's a wide variety of texts that can appear on signs so even parking at 90 degrees you can actually get a ticket if you're not parked in the correct position and so this is something that we want to account for in the future versions of this work so just a couple things we want to really improve the ability to detect these parking signs and then extract the rules and then use this in applied AI so get this into cars get this into ubers that are driving around the city that may have a lot of cameras recording the data around them and use that to improve the accuracy of these models and actually deploy solutions so that when we do have autonomous cars this is something that we're going to really want to use so that we are making sure those streets are safe and we actually have clear paths and additionally we want to account for curbs so this is something that's really big in California is all the curbs are painted different colors so white means it's a loading zone yellow means it's commercial red is no parking and so again this has really messy data as well so as you can see that top picture that's actually a fake paint on the road that someone actually went in and painted so people won't park in front of their house and so it's actually pretty difficult to distinguish between the two and we can use AI to actually do that and make sure that we have the most robust system so yeah this is really a problem that we're looking to solve and I'm happy to take any questions


waqfasta o does it give that kind of result that everyone would want to see exactly by the end of this video definitely you are going to actually like it or say it's one of the gadgets that you would have to use when you are doing cleaning and in case you have what you call a cleaning company when you are planning to make what you call a cleaning company you can definitely or you so use it to do the washing. so let us try to go in the video and see what are the results what results do does it give out if someone is using it does it make the waqfasta or does it make the waq uncomfortable in one or the other so definitely we shall just see it has a very long pipe wire tube it's just normal it's connected to an electric power that gives the force of the pump of the water so meaning that in either of the two if you need to use it you need to have what you call power you also need to have what you call the water source you need to have the water source around with you and definitely at the end of it all it will definitely give you what you need in case so right here we see the surface after the high pump water is being used and we see how deep cleaning can be done in a shorter period of time and that definitely for example if you don't have enough manpower what you can really do it's a one option or it's one option of better way how you can try to use it it will even save the labor it will even save the type of the work that you going to do at that time and it will give you a very good result at the end of it all remember you will only need up to a little bit of the dry and that's definitely this can be done within the shortest period of time but when we look at the biggest portion of the work to be done which means thorough deep cleaning is better you can try to buy this machine or buy it and use it for cleaning remember in most of the Middle East countries this is exactly what we have right so we shall also look at how drying is done in case you have to do the work faster you can use a dryer to do it very fast and definitely the work will be done very very fast without even a hassle at one time and these are some of the techniques or some of the skills that definitely if you have to come into what we call cleaning departments that you need to have especially in the Middle East countries we look at all those countries that people who want to come as housekeepers or house cleaners so definitely you need to have this and you need to know this because this is one of the interview they will give you to see how better you can do the work and how it can quickly come out at the end of it also they will definitely give you a small portion of work to try to clean and see how you can clean and now definitely what is going to come out of that so hope I'm trying to share something and this is pretty good to be so you can see how the surface definitely looks at and how it looks up


Hey, what's up YouTube is Zeke and welcome back to the dream green show today I'm going to show you how you can buy sell and day trade Bitcoin, so let's get into the video All right, YouTube, I know you see all the time with Bitcoin has just hit $10,000 not too long ago. It fell a little bit, but it's still above $9,500 and you see the price range change very quickly very often You're wondering how can you trade Bitcoin? How can you trade different crypto currencies? Well, the site that I use is called Binance Now if you're 92 cryptocurrency, you're not sure about day trading or holding on to cryptocurrency and trading in here and there Just go on ahead and sign up for Binance But because I remember back in the day when Bitcoin first went above $3,000, $4,000, $5,000 all the cryptocurrency exchanges Got flooded with people trying to sign up and trade Bitcoin got flooded with people trying to sign up and Buy and sell Bitcoin with and what they did that had a ban Where nobody else could sign up if you had an account then you could go in there And you could make tons of money, but if you didn't have an account you probably go through a Backdoor exchange or buy an account off someone off a crash list and they had your codes and everything like that So even if you're not into Bitcoin right now, it's better to just go ahead and sign up for this exchange It's called Binance. The link is down in the description It's one of the best exchanges out there and let me walk you through exactly what is Binance. So If we pull up Binance here, this is my account. It's called by nice calm on here You have many different markets you can change they have futures that you can invest in What you do you can lend out your Bitcoin and they pay you back to an interest or you can even stake a couple of your coins To where they pay you a daily interest back at the end of the month And the big one here is that you could buy and sell Bitcoin Everyone wonders what keep buying sell Bitcoin. Can you sell Bitcoin? Here you go? You could buy on Simplex with the Mastercard and Visa You buy Bitcoin Ethereum or BNB BNB is their own Binance coin right here You could buy and once you have an account set up, you can actually sell it to where it goes directly to your bank Trust token is a good one. Pacto is a good one Once you hit sell and deposit those coins into that wallet that wallet then transfer the money into your bank account So that's one way to do it If you don't want to go through the Coinbase app, it's just to sell it directly off their change now Another good thing about Binance is that if we go into my wallet Let me show you guys All right So another good thing about Binance is that when we're going to my wallet is that look at all the different type of Coins that this exchange have that you could store in here and that you buy sell in trade So we have BNB TRS I won't read them off, but just look at this entire list Not all exchanges have every coin that you could trade but you can end up if you could if you see a coin Going through the roof skyrocketing You can hurry up and buy some and trade into it and gain a profit and then sell it right back into Bitcoin But look at all these different coins all of these different crypto currencies that you guys can buy sell in trade This is the most beautiful thing about Binance is that they have a very large option of coins to sell and trade As you guys know, I have a lot of Ethereum like coin EOS gas I have a lot of these coins actually that have on my offline wallet All right, so we scroll back up to the top. Yeah, these are a couple coins I don't have I don't store a lot of my coins on here But I have some BNB the Binance coin and TRX and USDT So another thing about Binance that is very very good is that when you go to the lending you guys can actually land out your coins and make back a profit so Here are some of the exchange the annual rates return point ninety five point seventy nine 2.89 bit BNB to have a six annual loss a 10% annual loss for 14 days So you guys can make money from leaning out as well But what I'm currently doing is that I'm staking my coins It's in the network and it's locked up Well, it's not actually locked up But it's in a network to help the network work faster if you guys don't know about a lot about crypto currency Then it might sound a little bit confusing to you But basically what I do is that I stake it and then I get a percent every they take a snapshot every 24 hours and at the end of the month, I would get a Small dividend payment back into my account and all I have to do is hold it on my wallet on Binance now what you guys all been waiting for is This feature right here the exchange all you got to do is go to advance and Let that load up and what is the most trading one is? BTC to USDT that is basically saying you're trading Bitcoin to the US dollar since Bitcoin a couple of days ago was at 7361 dollars and Let's see two days ago. It was at ten thousand three hundred and seventy dollars So if you guys was to buy a couple of Bitcoin here and then sold it there You would have guys you guys would have made around twenty five hundred Three thousand dollars depending on where you bought it and where you sold it So this this this site right here is pretty simple to use the charts are okay I could give you that the charts are just okay You could put your own indicators on here that you want to but a lot of people use trading view Okay, so a lot of people actually use trading view they go to the website trading you calm You put a lot more indicators on there You can set some alerts on there and those alerts will go straight to your phone And you can set stop losses and buys and let's say the orders over here You can buy and sell and the volume is so much on binance is that when you put in an order? You will actually get a Order to field no matter what coin that you're trying to sell no matter what coin you're trying to buy If you put in a limit order is going to sell and buy so on other exchanges that the volume is not high enough That if you try to sell all of your coins Not all of them will be bought because the volume on that exchange market is just not big enough But binance is one of the biggest markets out there that you guys can actually Get your orders fulfilled to set it a second that you click that button. So if I wanted to sell all of my Bitcoin I don't think I have any let's see. I know I have some B and B down right there to Bitcoin where would that be it? It's a BTC to B and B There we go Now if I wanted to sell my B and B that I have I think had point six all I would have to do is hit Sell all of it and bam. I would have got point zero zero one two Bitcoin which works is which is worth around twelve dollars and once I hit sale bam I would have got my Bitcoin work So I got you could sell and buy any different crypto currencies that you want But most people buy and sell USDT to BTC for so US dollars for Bitcoin All right guys, so binance is one that I've been using for a while If you guys not really into crypto currency It's still good to go ahead and sign up just in case that you might get interested into it one day And it might lock you out from signing up with to a new account I've been using binance for a while. It always worked great I've been using Binance actually because I had set up a trading bot with different indicators And I use my API codes I send it to my trading bot and it does all of my trading on Binance for me and it only takes a small small small Trading fee of B and B. It's like point zero zero cents on the penny for me to trade So that's how I set up my trading box I trip and I set my trading box up on Binance because this company actually allowed this website Actually allow you to set up trading bots on their exchanges with their Cryptocurrency and my bot has been running for about a year now. It's been doing very very well Every month. I make a little bit of money here and there having a very safe settings I'm not trying to hit a home run, but Binance is one of those They if you guys want to know how to set up your own bot on Binance, so you could trade and earn your own Bitcoin that's the best coin that has this Bitcoin But if you want to try any other crypto currency you could go right here But if you guys want to learn how to trade and set up a bot on Binance So that you can go to work and come back and see you guys made a couple of dollars in there Comment down in the comment section. Also if you guys want to earn a high paying dividend stock It's a monthly stock AG and see click the link down in the description to enter the contest right now It's around 24 people in the contest So if you guys sign up you have a very high chance of winning a 1 in 25 chance so far of winning So if you guys sign up click the link down description all you got to do for 25 entries is to hit the Subscribe button if you watch three videos on there You get five entries per video you watch and then you could come back every day and click that button to get even more entries into The free giveaway that I'm doing Actually next week. I'm doing I'm going to announce the winner So you guys click the link down in the description sign up for the contest for your chance to win a free Stock don't miss out on this chance. Just don't miss out on this chance Just click down in the description Sign up and you guys would enter the contest for a free AG and she stopped but other than that Going ahead hit the thumbs up button like subscribe. This is Zeke. I'm out. Peace


Hey folks, what's up? It is Rob. We are back at the Polymer Summit 2016. I'm joined by Claire Bailey.  Can you talk a little bit about like the the Codelabs that we have here at the event and what some of those folks are working on? Definitely. So Codelabs are the learning by doing part of this conference. Folks have been in the sessions all day getting excited about Polymer and learning about kind of what they want to do about all the new features and this is their chance to go over and get their hands dirty and really dig into learning and using all these new exciting things. Awesome. And so and you know, we're doing Codelabs at this event, but but it's not exclusive to this event either. Like we do these for a lot of our events, right? Yeah, we have Codelabs at almost all of our developer events now. They're a big part of Google I O every year. We've got a ton of Codelabs that always come from that. We've got Firebase Codelabs. We've got Web Codelabs. We've got a ton of Android Codelabs. Even some of the smaller projects have like TensorFlow Codelabs. There's, yeah, there's cardboard Codelabs. Like there's a ton of Codelabs. It's Codelabs.developers.google.com. You'll find the entire variety of what we offer. Okay, awesome. So for those of you watching, if you were to have them go do one thing, it would be hit up that website at when was the address again? It's Codelabs.developers.google.com and you'll find the Codelabs from this conference and everything else we've ever written available there. Okay, awesome. So, so yeah, for those of you watching, maybe you can't be here in present in person, but you can definitely go check out that website and follow along with a lot of those folks back in that room. All right, so, so Claire, thank you so much for being with us today. Thank you all for following along. Again, if you want to check out those Codelabs, you can do so on Codelabs.developers.google.com. Did I get that right? Yes, I got that right. And stay with us. We're going to keep doing reports live from Plumber Summit 2016. I'm Rob. Thanks for watching.


Do you want to be judged for something that you did at 20? Hmm. Given that we went to college together. That's why I asked.  Talk to us about the kinds of interventions you wish you would see. Part of the issue when you're sentencing adults, sometimes you feel like you're starting at the wrong end. You know the stories that you read in the news where someone had lived a law abiding life, they get in an accident. they get prescribed a certain drug and they like it. I have to look at that person one way.  I have to look at them a different way. It's hard to even have one policy even that's gonna address both of those people.