Best opencv cameras review reddit. • 2 yr. I'll be doing a demo of that in a future blog post as well. For backup I also have a few Reolink battery cameras just in case the electricity goes out. Looking for a really high level idea of how to do this using opencv, then I will integrate with the control logic I already have. I was wondering if you guys have any recommendations for a new camera that works well with openCV or has correct documentation and resolution is not important? It should have an ethernet connection, preferably PoE. hi OP, if you have Wyze cameras (v1 or V2) I HIGHLY SUGGEST DITCHING OpenCV in favor of using Dafang Hacks. Product currently unavailable. Already have opencv installed on the pi and camera working not sure about distance and bearing estimation and integrating w training on shapes using opencv etc. Right now, I’d be already happy if I can get any sensor size USB camera with C mount thread, that works on OpenCV on Mac, and allows for manual exposure/gain control. 1 1 comment Add a Comment ES-Alexander • 3 min. stereoRectify. seeing more of the field is a function of the physical camera. OP • 10 mo. Preferably around 150 dollars. Once the camera is opened for the first time it would remain opened till you will restart the robot so you can use it in any other op but i recommend you to use the try catch in every opmode you're using the camera. It’s a very cool framework for doing all sorts of things related to computer vision. I'd like to try to calibrate a system to determine the location of a VR controller and feed the information into SteamVR. Use any other option that gets camera hardware motion events into Scrypted. You should try checking out OpenCV docs, stackoverflow, and OpenCV forum and other blogs. It is quite large and can be used in many subfields, and without a clear understanding of the concepts that are involved, all you are likely to learn from books on the subject is how to (poorly) use the api. Code: import cv2 Lag in the stream from IP Camera [Discussion] I am developing face detection and recognition software which will use multiple IP cameras. There’s no use for chasing after ‘the best camera’—look at the options available to you, that you can comfortably afford, because there is great value to be had at any price range. People who Multi-camera support w/ minimal configuration. There are a a lot of dashcam options out there, and a lot of them aren't very good. Easy to train. It would also be nice if the cameras could be mounted somehow so that I can move the camera system to another place without having to recalibrate the cameras. I wouldn't totally rule them out though, they can be fairly reasonable in price. The Logitech C270 has a FOV of 55°, the If you do have z distances, then you have to be aware that any calculation returned by the math will be in relative coordinates to the camera, and the direction the camera is pointing, not any kind of world coordinates or even relative to plane coordinates unless the camera is pointing directly in the direction of the plane and is at the 0,0,0 Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Write an algorithm which will take a frame stream and tell you how far away the red ball is, for instance. Browse privately. Step 1: Establish your budget. I have tried to use some SFM functions in cv but the results are kinda weird. Can handle 7+ cameras at 5fps depending on typical amounts of motion. Not in the implementation details. Okay I can now stream two cameras at the same time. The Synology units are typically underpowered unless you have a high end expensive unit. I gave it a 4. Motion detection that automatically saves videos and lets you view them in the web app. Self-hosted and FOSS Hi there, I'm an OpenCV beginner, just wondering which way would be the best to measure the distance between the camera to n object in a given video. ago Look into the real sense cameras and an Nvidia Jetson nano bsenftner • 1 yr. POE powered cams are the best but require ethernet cable wiring, a POE switch and/or NVR. This subreddit is for News, Reviews, or high quality discussions related to Monitors and Display Technologies. You'd have to clarify what is an edge device for you, but Darknet/YOLO easily runs on Raspberry Pi, Jetson Nano, etc. When I try to capture an image from the stream and any given time it either gives me the very first image (if I use cv2. However, as of today (10/21/2021), the current version of OpenCV are broken for Raspberry Pi Buster, as well as Stretch and Bullseye. I have a USB camera that can capture at 256FPS (640x360) and I have confirmed it with AmCap and FFMPEG. It consumes only 8. ago SoulCantBeCut Is OpenCV really the best there is? What the title says. Encrypted in transit, both from the cameras to the server and the server to your browser. I'm having trouble finding examples for using more than just a stereo camera setup to determine distances and dimensions of objects in real-time. I compiled this list from reddit feedback. This high-tech surveillance camera boasts a 5MP maximum resolution and cloud storage capacity. its a custom firmware but when implemented, gives you hardware detection events over MQTT. submat (new Rect (pointA, pointB));) Zooming out - i. First I tried to simply use optical flow which works for simple camera translation. When using this simple OpenCV capture script, I'm maxing out at 230 FPS and when I write it to memory and then disk I'm getting skipped frames. This is both very cool and very weird looking. In the past I didn't need any app. Others prefer turret style cams which are not as noticeable. Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. It is my first computacional vision project, so I don't know a lot about choosing cameras. We also sometime talk about other canon equipment such as printers. ago Jan 7, 2014 · Recommended HD camera (Best thread i found. Search privately. The only way to install OpenCV is to build the previous version (4. png", frame1)) or if I try to . Easy to build, compiles to a single . opencv. While opencv offers great tools for single camera and stereocamera calibration, I was surprised to learn that there was not an off-the-shelf solution for calibrating more than 2 cameras via bundle adjustment. This leads to a quite bad accuracy of the reconstructed point cloud. Fast and precise detections. If your camera is on the second but not the first, I'll give you some code to open it in the same data format as cv2. e. OpenCV is quite capable and very large, but the C-based API and years of baggage makes the modern versions and C++ quite clunky. The problem is when panning is also present, such as a moving camera pointing at the same spot in the scene during the movement. Anyway, what you have to do is get intrinsic and extrinsic camera parameters using. After you get the intrinsics and distortion coefficients, you can use them to undistort your camera feed. These 2 are in that price range: Intel NUC NUC7i3BNK 8-10ms Best possible performance. Hey everyone! I just wanted to announce that a Python & OpenCV course I created in November last year has just crossed a viewership of 1m! I am quite ecstatic about its exponential growth over the past year as well as the support I received from the programming community, especially here on r/opencv :D. BMAX B2 Plus. point cloud acquisition (per frame) registration of point clouds (have to put frames together in 3d space correctly) Revopoint POP2 does 1 well with some caveats mostly due to poor software, but generally well, in some cases extremely well - and 2 very poorly to the point it's almost not usable. Most Twitch streamers consider the Logitech C920 the best all-around camera for streaming. ai/products/oak-d claybuurn • 1 yr. cv::VideoCapture was always meant to be a convenience feature of opencv rather than a production level high speed component, is my understanding. • 1 yr. Interface should be USB. Seems the LG Optimus and HTC EVO are the only devices that I can find with left right stereo lensessince discontinued. Field of view and # of cameras supported. Cameras don't measure distance. You can even get the PPAO course (on 30% discount now btw) if you want to go in fully (not mandatory, but recommended). cv2. OpenCV tutorial here. imwrite("image1. As it says. The most important part of being an expert in computer vision is in understanding how the math works, and choosing the right tools for the job. Good balance of performance and cost. It will output 2 lists, the first one will be camera streams that openCV can open and the latter will be all camera streams ffmpeg can open. Users could tune all the parameters by adjusting the slider or selecting radio buttons. sentdex channel has a good series. 56) from source. The best course out of those 5, and the one I keep coming back to most often was: Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs. They both don't have any dropped frames and it varies from 250-256 when using those programs. For this you need to use. But I would suggest you to take the Computer Vision course from Georgia Tech before moving to opencv programming. It is inexpensive, dependable, and provides the best image quality for the money. I’m using OpenCV and two web cameras mounted to a bracket and attempting to generate a stereo depth map. More posts you may like 3 nomainnogame • 1 yr. stills in general. As a fact, you could create one op mode that is just for opening the camera. Doesn’t even need to be control through software, as long as there is no automatic gain, exposure, or aperture control in the background /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. I think that "learning opencv" does not make much sense. Synology also charges a per camera fee once you add 3 or more cameras ($50 per camera for surveillance station on average!). It features multiple language support, track sensor activity, zoom, and is motion/PIR activated. 5. As somebody that wants a dog without the hassle of owning a real dog this could be a good alternative. Blink is probably the cheapest and easiest, but you take a little hit in quality. OpenCV has no problem accessing the laptop webcam, but when I set it to the device id of the usb webcam, it says "this camera does not have a pixel format supported for OpenCV", but the cameras work perfectly in other applications, like Discord. The Verkada CD42 Indoor Dome Camera is a wireless device that supports smart home protocols. imwrite (r"C:\Windows\Temp\foldername\pic + str (counter) + ". Six months ago I did a simple code in Python using OpenCV and I was able to use my smartphone camera, via usb, without any problem. Hopefulsam29. https://store. Battery cams will still record events until their batteries drain. Technical Support and Purchasing Advice questions should go to /r/buildapc or /r/buildapcmonitor https://discord. Let's start with point cloud acquisition: - The Not sure what your asking: You cant zoom out, for obvious reasons, and if you want to zoom in you can just make a new mat that is a submat of the camera view (Mat zoomedMat= mainMat. That said, you haven’t provided a price range or specs that you’re interested in, so it’s possible there’s something more appropriate for your application. ago It is not that much low cost but it has 3d and processing on it so you can run pretty intensive computation/detection, like hands detection on a Raspberry pi. ago. You are correct though, they will cost you a little bit for cloud storage. With stills all information is encoded in the file. gg/ultrawide I'm looking for recommendations for good but inexpensive cameras for computer vision - my project is a MOCAP system based on LEDs. So at best you could only generate "relative" distances along the x-axis and y-axis. A119 v3 - GPS, great video quality Introducing Unitree Go2 - Quadruped Robot of Embodied AI. While blob detection doesn't need super high quality, I want to get a really good calibration for estimating 3D poses, which means I need a good sensor. Brave is on a mission to fix the web by giving users a safer, faster and more private browsing experience, while supporting content creators through a new attention-based rewards ecosystem. OpenCV even has some tutorials which I would recommend too. 3. • 7 yr. So I want to buy better cameras with ~1MP. After all this, the camera was still not very robust to the parameter changes and the use of openCV. The Logitech C922 is the C920's gaming-focused successor. The part I need help on is the opencv part. remap. Get the Reddit app Scan this QR code to download the app now [Question] Using virtual camera for OpenCV Question Best Buy; Novavax; SpaceX; Tesla; Crypto I call them “your daily dose of machine learning”. Nothing cloud-based. ) Feb 2, 2024 · Canon EOS R7: The Canon EOS R7 is an excellent upper mid-range camera that's well-suited to wildlife photography, with a sturdy build, great ergonomics, quick burst shooting, and a reliable autofocus system. Secondly I saw some people had various issues with their cameras, and in my case the G4 Pro cameras specifically, people reported condensation issues. They measure light. I’m brand new to OpenCV and trying to use a PI 5 with the V3 camera. What can you suggest that fits my needs? the cameras must have a documented way to connect to OpenCV. So it's not possible with one camera. stereoCalibrate. Use OpenCV in JavaScript and visually build CV processing recipes. The first step in your research should be determining a non-negotiable cap on spending. I also want at least four cameras, ideally 8 or so I bought a OpenCV already has a guide to calibrate your camera using a chessboard pattern to obtain camera intrinsics and distortion coefficients. 271. png", frame) On second system 'frame' is empty, the camera there did not send a image. so (or dll in Windows) so it can easily be inserted into existing C++ projects. All the pixels values are stored, meaning the file size is much higher, and can be adjusted depending on your encoding format (jpeg, png, bmp, etc). Some of the things you can do with OpenCV include: - Basic image processing techniques such as applying filters I am playing with left and right views for stereo vision/Opencv on Android platform. Nikon D780: The Nikon D780 is one of the best all Opencv camera capture is not the fastest. 59W of power and is intended for indoor I'm selecting cameras for a stereo vision system, and I'm not sure if should buy cameras with auto focus or not, since the cameras without auto focus are cheaper. Here is OpenCV's API page for opening a video capture session; the 3rd and 4th versions of VideoCapture () both take input parameters that let you specify which of multiple video camera you want that connection to control. However, even with multi-threading, the two IP cameras I am currently using have significant stream lags of around 1 to 2 seconds. initUndistortRectifyMap. 6, however, it should be noted if money is no objection get this Deep Learning for Computer Vision with Python - Practitioner Bundle course. VideoWriter method of OpenCV. I’ve checked that the camera is working with “libcamera-hello -t 0” and that works, so I know the camera is communicating with the PI. CV researcher here. I think I'll probably end up getting it because I'm really excited about using OpenCV & Python & raspberry pi & the new camera board. People who research computer vision for a living are actually inventing new techniques that does not exist yet and thus, are not implemented in OpenCV. All questions and photographic experience levels welcome! Most tutorials rely on opencv-python, which appears to have the best support for Raspberry Pi OS. Let me know if you have any other recommendations or favorites, and why you like it or what you found useful so we have some real world feedback. After a little research, I found this post that had a similar problem to mine. The syntax can be a bit of a mess, and sometimes debugging errors can be arcane. Short answer? It's a cool idea but cameras don't really work that way. Apparently, the failure of OpenCV VideoCapture () is due to the use of the USB-3 protocol and the fact that many industrial cameras do not support the UVC interface. Chapter 10 ( Filters and Convolution) is a doozie, and I've had trouble finding help on it. someone who did some testing with a webcam and python version opencv found an average of 200ms latency. It meets or exceeds all basic requirements, with excellent video quality at 1080p. Logitech C270. It's not even possible with two or more. Lorex also makes a good wireless camera and their solar panels seem to be large and efficient. However, I think I'll wait for a sale (Packt occasionally has really good sales, which is useful because their books can be hit or miss. Bindings for Python, C#, C, C++, and probably more. I pick the server, thanks. Currently, I’m just trying to get a feel for OpenCV but I can’t even get video to output. Hi everyone, my original goal was to build a browser app for stacking CV filters one after the other and allow users to build pipelines of CV algorithms. You can pick up Blue Iris for a flat fee and not have to deal with that nonsense. You can also use OpenCV-python on iPhones through Pyto. Tutorials. The problem is that this app only support one camera. What are some options for capturing stereo images on Android in 2017? Otherwise, if you want to process the stream in real-time and write the "interesting" clips to file, you should use the cv2. Once you get all the parameters, you need rectify the images. The answer on the website suggests trying the XIMEA backend of the OpenCV function if a camera Firstly because that apparently before UniFi Protect it was called UniFi Video which Ubiquiti killed so I was concerned (and still am) about the future of this product. I've personally used this for 4 USB cameras simultaneously, plus 4 IP cameras at the same time for a total of 8 streams Aug 19, 2022 · 1. Dashcam Recommendations by redditors. Every tutorial I encountered before tutor by using camera calibration first and then undistorting the camera lens. I understand that sensor size matters. Follow the guide. /r/AMD is community run and does not represent AMD in any capacity unless specified. I am using OpenCV and RTSP for the stream. And worse the lens will skew the z-axis beyond anything usable. i run 3 of these and my Pi RARELY gets above 25% per Welcome to reddit's home for discussion of the Canon EF, EF-S, EF-M, and RF Mount interchangeable lens DSLR and Mirrorless cameras, and occasionally their point-and-shoot cousins. ago The OpenCV AI Kit (OAK) cameras are decent, include PoE options, and are made to integrate nicely with OpenCV. read() and image off the stream it gives me a '0 byte' image with no data (this is done with my cap_images The best privacy online. I am using multiprocessing and it works great! Insignificant lag. Your code should consider this possibility after reading a frame from camera and react accrdingly instead of assuming there is a frame and call imwrite () with this frame. Supports USB cameras and the Raspberry Pi camera module. Learning OpenCV 3 (Adrian Kaehler, Gary Bradski, O'Reilly Books, Sebastopol CA 2017), I've done most of the exercises at the end of each chapter. See our review. Good and Wireless do not exist in combination. 1. needaname1234. View community ranking In the Top 5% of largest communities on Reddit [Blog]: Depth perception using stereo camera (Python/C++) Ever wondered how robots navigate autonomously, grasp different objects or avoid collisions while moving? I think this is the best one. I’ve followed the steps I know so far: calibrating intrinsic parameters of each camera, doing a stereo calibration, rectifying it, saving the maps, etc. If you have an android phone with camera you can use it to get started. suggests logitech quickcam 9000 pro, not on market anymore) Which Machine Vision Vendor provides OpenCV support (General Advice not sure what to make of it) Which Camera for body detection (2010, no clear answer) OpenCV Webcam Compability (2011) I have an idea I want to start creating with opencv but don’t have much money for a camera and was wondering what’s the cheapest yet still viable camera to use for a simple projection mapping project. 10-12 ms. With its wide-angle shots and automatic light correction, your OpenCV projects are going to work smoothly and sharply. If you’ve worked on image processing projects before then you probably heard of OpenCV. . Best OpenCV Books for beginners to Advanced to know in 2022 - NeurIPS 2023 This isn't just openCV but video vs. 9. When it comes to budget high-quality 720p HD camera quality, the C270 by Logitech is the best option. However, lens options for the RF-mount are still relatively limited. infinitevalence. Also capable of running many other services at the same time as frigate. However, a couple of weeks ago, I got Eufy makes a great camera for what you're looking for. I want to drive an RC car around a yard while watching it through some home security cameras. I tested 2 USB webcams, Logitech C615 and C270, and these webcams have worked fine with OpenCV on my Robotics project identifying shapes (like colored balls) with edge detection and HSV filtering, and determining location of objects relative to the camera (have to do some camera calibration). Now I am using Camo App to make the computer recognize my phone as an external camera. Having now rolled my own code to achieve that, I have much more sympathy for what a pain it is, so this is certainly no shade on opencv. You can use compression on images, like jpeg, but that is lossy compression so you "lose I am working on a camera motion classification. tqqemqmmlclqcnjkpskg