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Thank you so much! I used a second camera zoomed into the screen and used Adobe premiere to stretch and crop it back to being a clean rectangle.

@@ArtsyEngineering thanks so much for the quick reply. I have a monomachine and would love to have the visuals as clean as yours!

I appreciate the compliment! Have you seen the red display on the machine drum? Sometimes I find the display on the monomachine to be a little lacking (although not bad for it's time I guess) but the machine drum is so hard to read it drives me crazy!

@@ArtsyEngineering Bahaha I actually have the MD as well and yeah the screen doesn't do well on the eyes after a while 😅

Thank you!

Nah you’re just broke

​@@cardinal.666i own a monomachine mkii and its true that its mostly only capable of crap. there is a very razor thin margin of useful sounds out of this thing. has nothing to do with being broke

Thank you for watching! I plan on releasing more, I didn't realize anyone would actually care to see these, hahaha. Please let me know if there's anything you'd like to see.

Hahaha, I hope they're pleasant dreams!

Thank you! I wasn't sure if they'd be boring af, I'm glad you're liking them!

My Instagram recently got banned for some reason, would you want to shoot me an email so we can chat about it? I’d love to help! Jeff at studiomyria . Com

@@ArtsyEngineering facebook paul walsh ;)

Because I only edited the included examples a bit to make them work, I didn’t include any source. When you install the boards you should find the examples i point out in the video. Open those and pause the video to apply the minor tweaks and you should be all set!

I’m glad I could help!

Eder Esteban Reyes would you want to share the code you’re using to form the data you’re writing? I can try and take a look.!

@@ArtsyEngineering I have not added this code to my main project. I checked before that the time of the implementation were the right one and it seems that it is perfect, but I check the data saved in the sdCard and it only has NULL. I am testing the code of the of the library examples and I tested the final code that I found on Github (github.com/espressif/arduino-esp32/issues/1117) In the Github code and the example I used a for cycle to set the values to zero //////////////////////// TestCode - TestFileIO////////////////////////////// file = fs.open(path, FILE_WRITE); if(!file){ Serial.println("Failed to open file for writing"); return; } size_t i; start = millis(); // myCode for(int j = 0; j < 512; j++) { buf[j] = 0; } // for(i=0; i<2048; i++){ file.write(buf, 512); } end = millis() - start; Serial.printf("%u bytes written for %u ms ", 2048 * 512, end); file.close(); ////////////////////////////////////// Github Code //////////////////////////////// void testFileIO(fs::FS &fs, const char * path, uint32_t buffSize, uint32_t numMB) { uint8_t * buff = new uint8_t[buffSize]; // myCode for(int j = 0; j < buffSize; j++) { buff[j] = 0; } // File file = fs.open(path, FILE_WRITE); if (file) { size_t i; uint32_t start = millis(); auto numToWrite = (numMB * 1024 * 1024) / buffSize; for (i = 0; i < numToWrite; i++) { file.write(buff, buffSize); yield(); } uint32_t end = millis() - start; float kbps = numMB * 1024 * 1024 / end; Serial.printf("%u MB written using %d byte buffer for %u ms @ %f KBps ", numMB, buffSize, end, kbps); file.close();

Dead Fish awesome! I’d love to see what you make! I have another video about making a storm cloud that would also help you program and set everything up. Might want to give that a peek as well.

Hope it works out! I'd love to see what you make!

No worries! I'm not an electrical engineer either, we're all just trying to learn here. So you're saying you already have a drone with a video recorder that saves the video directly to an sd card right now, and you want to somehow tap into that and stream it somewhere else instead? I don't know that this would be totally impossible, but it may be VERY difficult. The first problem is the video recorder would be writing to the sd card using 4 or 8 bit MMC so you would need a really fast processor to read the signal and trans-code it back into something use-able. The next problem you'd have is going from that signal to hdmi, which would also require a lot of processing and work. I would think you'd have to use something like an fpga to get that done. In short, I would not attempt this, but it would be interesting to see if you do give it a try!

Konuvis hahaha might want to stick to booting off a usb drive for that =P

Will Roberts try going into your bios and looking for a boot option to change from uefi to legacy, that should fix this

Make sure you see your rndis adapter in the device manager, if you see a device with a yellow warning next to it instead revisit the video or the instructable guide and look for the part where i walk you through fixing the second Ethernet connection. If that's not the problem I'd need to know more about where you're at to help.

@@ArtsyEngineering thanks very much for the reply will give it a try shortly

Like the files don't exist at all? Or VSCode just won't edit them?

This tutorial is more for ssh / disk access BUT you could boot the raspberry pi with a monitor / keyboard / mouse one time ( when you're done setting all of this up ) and install a vnc server and configure it. Then the next time you plug it into your computer via the usb port, assuming you have the raspberry pi booting to the desktop and not just the command line, you'll be able to connect to your vnc server over the usb ethernet connection. Keep in mind this video is only for the raspberry pi zero / zero w so the usefulness of that raspberry pi desktop environment is going to be extremely limited, but you could do it!

Interesting, so you have no pullups anymore and you also have 1 resistor between Data0 and gpio2 on the esp32? That seems like a strange configuration to me, but if it works I'm glad you pushed through and found a solution! I wonder why you had to do that so differently, though? Nice work, regardless!

If you bought a module for 3$ it's not going to support mmc, but it would certainly be safer to use on a 5v microcontroller so if you don't need the extra speed and want the extra safety, that's true. Although you'd also have to pay shipping and wait for your module to come in, so there are a lot of down sides to that considering you got an adapter for free with the microsd card in the first place. Thanks for checking out the video and commenting, though!

If you're using my code, you'll need something that acts as a webcam source on the computer so my code can read it. In general that's going to be the case.

Thank you for checking the video out! I used a webcam taken out of an old laptop. Most of them are really just usb webcams so the trick is just figuring out what the pins are to hook them back up to a different usb port.

Hahahaha, it's true. Thank you so much!!

I'm so glad it helped!! I just took a look at the video and the important metrics on the different serial console results (to me) are the final (total) read / write times. Unfortunately I cutoff the write times on some of them, but you can see that the 1 bit mode is right around twice the speed (takes half as long) as the spi version. 4 bit mode isn't a whole lot faster, though. I wouldn't consider that to be totally worth it, although it's almost no extra effort. With all that said, you may not need the faster speeds for most projects, but if you're ever reading video or sound data off the sd cards or streaming ALOT of logging data to the card it would be a nice option to have.

Thank you so much!! You could certainly start with what I have here and add image recognition to it, but it would be challenging. I would start with template matching ( docs.opencv.org/master/d4/dc6/tutorial_py_template_matching.html ), that would let you provide a static image of something you want the camera to track and then get it's location in an image ( the webcam feed. ) Once you have it's position in the feed you can change the camera movement to point towards the image match location instead of what used to be the movement in the webcam feed.

Thank you for checking it out! It depends on how high resolution your thermal camera is and how much thermal movement will be in the video naturally. If you had alot of movement in the video from something like steam it will confuse the movement recognition. Also if your thermal camera is too low resolution ( they are usually very low compared to a typical webcam ) it will limit the tracking quality as well. Let me know if it works, though! That'd be neat!

What kind of computer are you running this on? Image recognition is VERY cpu intense so you will need a fast computer to do it very quickly. Also the higher the resolution on your webcam feed, the slower it'll be ( the more pixels it has to process on every step, the slower it will go. ) You might want to start by reducing the webcam size down to something like 640 x 480.

Thank you so much!!

I find it a little hard to find good solid info on sd card limits online, but it appears that by default the esp32 only supports the fat file system which maxes out at 32gig (esp32.com/viewtopic.php?t=13880) this post does make mention of being able to enable exfat for larger cards but I can't find any information online about doing it. So without having tested this myself, it would appear that 32 gig would be the natural limit, assuming whatever library you're using (if it's non standard) doesn't impose some other limits on you.

Thank you! How'd it work out? That should easily emulate any older systems but it will probably have problems emulating anything past playstation 1 with much 3d going on. Still would be really nice, though!

Thank you so much!! I hope it helped!

Awww, thank you so much! I'm glad it helped!!

ArcadeMAD I’m glad! Thanks for watching!

Thank you for this! It took me months and months to realize this tip, I really wished I had added it to the video but hopefully some people notice your comment while trying this!

Oh beautiful! I'm so glad it worked for you!

Inkling Boy - BLK • 555 • I’m glad this helped! I have noticed that half my wireless adapters don’t seem to work with the batocera unfortunately.

Assuming they were decent quality batteries that would be around 6v which should be just fine! Servos can pull alot of power depending on the amount of resist they are pushing around so it may not last very long.

Wowow, I haven't dealt with most of those issues. I usually have an issue where I'll forget to uncompless my ROMs so they'll show in the menu but won't start, or ofcourse my FBA and MAME roms will not match the emulator build and not start. Other then that I've set it up on probably 10 machines are this point and it's worked fine for all of them. I have been seeing more people have problems with their drives not booting, but I suspect that's a matter of changing your boot mode from uefi to legacy in the bios. I'm sorry I can't help with these issues, if I run into something similar though, and find a fix, I'll try to come back and share. Until then, you may want to checkout retropie on a raspberry pie instead.

It's open source, so no it will probably never be 'finished'. What issue(s) are you having?

My pleasure! I'm glad it was helpful!!

I haven't tried that so I couldn't say for sure, I would expect not given the lack of information on it that comes back on Google. It's REALLY meant to be used on a jump drive, so that's just as good assuming your machine has a usb port.

Thank you so much for watching, I'm glad it worked out!! Yeah copying alot of large files over file sharing can be painful, why not use a usb drive?

It's a tricky subject, but open cv ( the library I used to do this ) does return multiple regions of movement and I'm just filtering out ones that are too big and too small and then picking the largest of what's left to assume that must be something I care about. This gets really hairy if you actually want to track multiple objects and they can stand near eachother or can vary in size alot, even worse if your video feed is really noisy ( so opencv will pickup alot of 'movement' that's really just static. ) Computer vision seems to be 80% smoothing out a signal and filtering results and 20% clever application of what was found. Of couse having a more defined idea of what you're looking for in the video feed will also help alot. For example, looking for colors or a face to qualify the object as something i care about would vastly reduce the amount of guesswork, but then you're cranking up the cpu load and hoping the person is always facing forward or there are no other green objects on screen. There are just SO MANY variables that need to work for it to appear as if it's working well.