I'm currently taking an Udemy ( -flutter-dart-to-build-ios-android-apps/)course on Flutter and while on it, I've been able to do most of the setups.My (Default) demo code could compile and display web apps but couldn't display onmy physical device and emulator in both VS code and Android Studio.
I tried installing JDK, and followed several steps provided here on Stackoverflow likehow to solve Execution failed for task ':app:compileFlutterBuildDebug', I have also done some github suggestions like flutter --v, flutter clean, flutter runbut they didn't work for me.
Foremost you should stop you'r emulator on pc. because you can not run flutter project multiple devices without give some specific settings. you'r main issue is as my knowledge you'r not stop you'r emulator.
There are a few stand alone Intellivision emulators but they aren't all that great I personally just use MAME/MESS though personally if you use these in LB you will need the command line parameters intv -cart. Also you will need the bios files but if you already have a full rom set they should already be included there.
Try to limit the number of different emulators you use to make configuration changes global and easier. MAME and Retroarch will cover most of the emus needed. I emulate Intellivision with latest MAME - no problems (plus i have the ability to use bezels).
Good to know that is one controller type that their isn't really any good options to buy. I would fear buying the ancient used controllers and the fact you have to buy a Flashback to get the controller isn't ideal but probably the best option. I wish the adapter worked with 2600 paddles that would make it even more attractive a purchase.
Is there anything I need to do when using mame? I've associated mame as the emulator to one of the intellivision games (lock n chase). I put the command line intv -cart and the screen flashes black when I run the game, seems to say 'initializing' and then goes back to the launchbox screen. any ideas?
Note that you will need the grom rom. The one that comes with Nostalgia called Minigrom is a crippled version intended to run only the stuff bundled with Nostalgia, in other words the uninteresting stuff.
Okay are you trying to get the game to run directly through MAME because it won't unless you are using the command line or have the software list ROMs. It should work through LB though, have you watched any of @SentaiBrad MAME/MESS tutorials from the LB YouTube channel? The visual aid may help you out I don't know if he has done a specific one for Intellivision but if you watch the MESS tutorials you should be able to get the general idea of how it works.
Welcome to this tutorial, I am laying out everything I know to get to play this game on the Xbox 360 emulator Xenia until the end. It will have issues and crashes that are guaranteed but I will lay out how to fix them like I did.
Get the Xenia Canary emulator. Canary means the latest experimental version. Do not get the regular/master version. I use the December 23 2023 version, but pick the latest one unless it has unique issues not found here.
I recommend at least playing to the first save in Lost Odyssey as it would be the most stable way to try things out if it works and if your PC can support it. I personally had no crashes the way through the first save. If it does, just try again.
These patches will allow you to tailor some aspects of Lost Odyssey you might want to have. I only used the 60 FPS patch. Keep in mind the game will naturally be twice as resource-hungry to run doing this. If your PC cannot handle it, do not activate it.
Save your changes. If you get graphical glitches like characters showing black flickering, you can disable dynamic shadows in the same patch file but I decided to keep them.
This will allow you to run at the resolution you want. I personally run it at 1440p and 60 FPS with my GPU being an RTX 3070 and my CPU being an i5-13600K. The game will still chug in cities with lots of NPCs, but runs well in any other case.
I have an RTX 3070 and an i5-13600k, which is a comfortable mid-range PC. If your specs are even lower, do not use all these fancy features and just keep it at base resolution or 30 FPS or both.
You can make the game look even better by using anti-aliasing feature by pressing F6 in the emulator. It has FXAA and FSR 1.0, which you should activate both if you have the extra firepower for it.
I will now go over crashes that are guaranteed to happen in this game and how to get past them. If there are any other crashes, it will most assuredly fix itself if you put the game back to 30 FPS.
Download Cheat Engine, your windows defender anti-virus will probably block it because it has ads in the installation process you will have to decline. Just allow the software in windows defender and decline all ads.
Quit the emulator, relaunch it, load the save, and you should get past this scene without crashing. If you ram the door more than once with Kaim or ram it with other characters, the game WILL crash. Do not do it.
PS: If you want the item here. Ram once with Kaim, switch to Jansen, kick the rat, switch to Seth, kick the rat, switch to Kaim and get the item. Do not do anything else as the game will automatically progress on its own. You will have to fast. If it still crashes trying to get the item, just do nothing and let the story continue. You will get the item later in the game.
The last Disc 1 boss will have you fight Mack after the Crimson Forest and inside the Shrine. The game will crash in a cutscene after the boss fight.
Adding grain computationally is (by definition) always digital and always an algorithm, so there can be no distinction between using a digital algorithm to apply grain and using another "format" to apply grain emulation to a digital image -- the distinction is meaningless. There's no computational operation called an "authentic format" that has a meaningful distinction from an "algorithm."
"Authentic" is merely a value judgment and not a distinction that has any technical meaning or unambiguous criteria for validity. It's not very useful to categorize algorithms by lumping them into categories of opinionated vague judgments without first having done any analysis to understand how the algorithms work in order to arrive at the judgment.
I suppose the distinction you're really trying to make is between algorithms that use scanned film data (actual rasterized grain images rather than just data about how grain works) stored within the algorithm itself versus ones whose underlyng data is not stored within the algorithm. Which, to my mind, would not divide the two categories along the lines of "authentic" versus "not authentic" but along the lines of "inefficient" versus "efficient."
Grain itself is just random noise and there is no one single magic pattern that is the ordained "correct" one. Film itself never repeats some one magical correct pattern -- every strand of film is different, but an algorithm that uses a finite stored set of scanned film images to seed its random pattern will always repeat the same patterns, which is not what film actually does.
My own algorithm is also based on mathematical analysis of real scanned film -- it's just a more efficient algorithm because the study and analysis of all the scanned data is all done in the development stage, so the finished algorithm itself only contains the RESULTS of the analysis, rather than all that orignal data that was analyzed.
So my algorithm is more efficient because it doesn't have to re-analyze the whole data set again and again each time: the analysis was all done in the development stage rather than being needlessly repeated again and again in every instance of applying the algorithm.
If you don't know how to analyze the data from the film scans, then they become nothing but a meaningless random scattering of amplitudes all over the screen (which you could also get from a random number generator). How does the person writing the algorithm know what DO with those amplitudes that they got from the scans: what math do they use to blend the amplitudes with dark or light or red or blue (or dark-blue or bright-green) parts of the image, given that that sample data was all on a gray even field and not on a photographed image?
You have to have done an analysis and understand the complicated behavior of the phenomena you're modeling to make a good algorithm. Using scanned film as a random number generator will not fix your algorithm if you don't know what to DO with the random numbers you've received. It's not a replacement for not having done the analytical work.
There is nothing that makes it more "authentic" just to have a computationally inefficient algorithm that uses a gigantic amount of stored film scans as a random number generator instead of... well, just using a random number generator.
I would argue that my own algorithm is just as "authentic" (if not more so) because it is based on an empirical study of the probability scatter of real amplitudes of real film. It's based on real scanned film data just as much as an algorithm that (inefficiently!) stores the scanned data within itself. But I'd argue that my algorithm is more authentic than most other algorithms because I studied how the amplitudes are actually applied in the real film data and then I emulated it: I actually did an analytic study of the probability scatter in real film and then built an emulator or a mathematical model. It's a probabilistic emulator rather than a geometric one, but it is just as much an emulator built on real film data.
Of coure it's true that JUST using a random number generator within a lame algorithm that isn't a good mathematical model of film grain is going to yield bad results, but that doesn't mean that you can't have an awesome algorithm built on a good mathematical model of what film actually does that uses a random number generator to re-seed and refresh its pattern instead of using stored image data of film scans to re-seed its pattern.
b37509886e