Best opencv cameras review reddit. I use ELP cameras for a lot of one-off type projects.
Best opencv cameras review reddit Each available codec has a different table of available resolutions and frame rates, so you need to pick the codec that matches what you're expecting. Image processing: The technology or framework should have all the necessary functions for image processing using OpenCV. I've calibrated camera using OpenCV algorithm, images looks ok, GameStop Moderna Pfizer Johnson & Johnson AstraZeneca Walgreens Best Buy Novavax SpaceX Tesla. comment sorted by Best Top New Controversial Q&A Add a Comment [deleted] • Additional comment Hi guys, I am starting out using OpenCV with python and am wondering what you have found to be the best resources for learning? E. Welcome to the official subreddit of the PC Master Race / PCMR! All PC-related content is welcome, including build help, tech support, and any doubt one might have about PC ownership. Open menu Open navigation Go to Reddit Home. -2 provides the longest exposure for this camera. r/DigitalArt. The Hikvision camera (DS-2TD2617B-6/PA) has an ethernet cable that connects to something that looks like a "settop box" for processing/displaying its images. "T-pose 90%" or "no pose identified") The identification should happen when the camera is at least 50cm away from the marker Establish a maximum and minimum limit for this identification I'm new to OpenCV and would like some direction to approach this problem. 2. Even then, some of the exercises are unclear. The most reliable (and inexpensive) camera I've found is the EMEET 1080P which is available on Amazon for ~$25 each. I've done some basic research on arUco markers, and this is what I've learned thus far. Some (nearly all the ones I read about) native HKSV cameras still require its users to use their vendors app, forcing them to connect their cams to the WiFi/internet, providing their location etc. 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. 10-12 ms. Would love to hear any suggestions or thoughts as well - thank you! Okay I can now stream two cameras at the same time. I'm doing a project with stereo vision, and the first step is calibrating the cameras. Hello, I want to know how I can acces the livestream from a cctv camera and use it in opencv library. Also capable of running many other services at the same time as frigate. com I would much rather see more thorough and complete documentation of python's cv2 library from the OpenCV folks I think I'll probably end up getting it because I'm really excited about using OpenCV & Python & raspberry pi & the new camera board 11 votes, 23 comments. Crypto. I am looking for a camera 1-2k resolution. To be brief, this course will teach you everything you need to know to get I've been working through Learning OpenCV 3 (Adrian Kaehler, Gary Bradsky, O'Reilly Books, Sevastopol CA 2017), doing the exercises in the chapters. Members Online Goal is to use two high speed cameras located above and slightly behind the golfer. Choose for yourself. Futurefusion I lock pylon buffer, copy image for opencv, unlock pylon to keep on capturing into its own buffer, whenever opecv is done the cycle repeats. If your budget is smaller but you want to stay versatile, then the Insta360 One X3 will be your best option. OpenCV AI Kit with Depth (OAK-D) also uses a A community for sharing and promoting free/libre and open-source software (freedomware) on the Android platform. The answer on the website suggests trying the XIMEA backend of the OpenCV function if a camera supports USB3 Vision, but that didn't work for me. This means software you are free to modify and distribute, such as applications licensed under the GNU General Public License, BSD license, MIT license, Apache license, etc. comments sorted by Best Top New Controversial Q&A Add a Comment. View community ranking In the Top 5% of largest communities on Reddit [News] Orbbec 3D UVC cameras are now supported by OpenCV. This rug was laying flat on the floor and shot form an angle, I have already warped it using cv2. The integrated cameras are like $8-9k if I recall whereas you can get a 5MP camera for $750 and have cash for The camera is at a fixed position and is looking at a sports court. These cameras are easy to use and integrate with most systems via USB. I've run several of them constantly without overheating problems. Only some cctv camera can be accessed from distance with a auth method or all of them? I tried to implement it with nest camera indoor wired but the api was downgraded. I set resolution to 'standard opencv(640x480)', '1920x1080' and '3840x2160'. Check with some logging what is your pylon speed without opencv calculation before going to weird places. That being The OpenCV AI Kit (OAK) cameras are decent, include PoE options, and are made to integrate nicely with OpenCV. Does anyone know of an off-the-shelf camera or module that includes its own, onboard compute to do simple pose estimation in openCV or similar? My goal is to not have to shuttle any video data from the camera to a larger compute engine, and instead have it do everything onboard and just output simplified instructions and results (e. Viseron is a self-hosted NVR deployed via Docker, which utilizes machine learning to detect objects and start recordings. I have 3 cameras attached to a vertical arm in a large 3d printer-like machine and I would like to calibrate these cameras to the world coordinates (0,0 of 3d printer-like machine). With the two cameras, (and maybe utilizing an IR light and lens/filter), we're hoping to get accurate clubhead speed, ball speed, rpm's, and launch angle. His emphasise. uix. I have worked with multi-camera arrays containing 5 cameras with no issues Hi, for the last year I've been using a couple of G3 instant at home, live those cameras and the value is awesome (bought them at 35€ each). I'll give a short review of each, with it's pros and cons and summarize scores below in a table. Our eyes and many stereo cameras are based on this principle. 16K subscribers in the opencv community. Join our passionate community to stay informed and What is the best DSLR camera I can buy that supports tethering on phones Autofocus is generally undesirable in stereo cameras anyway, because getting the cameras calibrated (to determine the parameters) is enough of a chore with fixed focus, whereas with autofocus you need to get parameters for both cameras across their full focus ranges, and you would need very accurate monitoring of the focus level to know which parameters to use. Plus the resolution of the camera after initializing is only 640x480. BMAX B2 Plus. [Question] OpenCV courses review ? am a 2rd year (Math&CS) student at UVIC Canada, comment sorted by Best Top New Controversial Q&A Add a Comment. View community ranking In the Top 5% of largest communities on Reddit [Question] Camera recommended . Smart cameras are more supported and quicker to program but cost more. Good balance of performance and cost. Tbh I don’t really recommend using the cameras that are running software onboard. I'm working on a project wherein I have to capture frames from a particular USB camera using its device label. One doesn't allow for manual exposure control, the other one isn't recognized by OpenCV at all. CAP_PROP_EXPOSURE, exposure), I can change the exposure when 'exposure' is less than -2. Expand user menu Open settings menu. That performance gain you get with OpenCV adds up. v2. Intel NUC NUC7i3BNK 8-10ms Best possible performance. Digital Art discussion, news, articles Yes, that's fine. I prefer mirrorless cameras because the screen is a real-time preview of WYSIWYG (including exposure), as opposed to merely guessing with a DSLR and then going back to the image review to see what photo you actually took. Can handle 7+ cameras at 5fps depending on typical amounts of motion. I’m using OpenCV and two web cameras mounted to a bracket and attempting to generate a stereo depth map. 8. Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. I've been looking for such a camera over the last 6m high and low, bought 2, failed miserably with both. Now I am just getting into the topic, I am trying to detect traffic lights with opencv's CascadeClassifier. I'm using two modified PS Eye cameras, but I can't seem to get video from both cameras at the same time. This is a camera with no stabilisation and a 30 minute recording limit. , and software that isn’t designed to restrict you in any way. Last time I did this, I was using an original compute module and had to merge a change to this library: I also want at least four cameras, ideally 8 or so I bought a $25 low distortion lens camera from Amazon before corona shut the world down and the image quality isn't great. Basically I'm looking to write a C++ app to capture from both pi cameras simultaneously and return a CV::mat. I just figured out how to receive a camera stream from the four cameras of the goggles (it uses inside-out tracking and has 2 cameras pointing forward and 2 to the sides). Most people who own cameras become fanatics and ignore the problems. 3. Besides propably better quality than e-con, I didn't like that I would have to build a custom OpenCV version from 5 years ago, just to support the e-con Y16 image format. Can someone help me out here. Performance wise OpenCV is much better. lemgandi Reddit . Also, it must have a nonstandard driver cos I opencv couldn't control Exposure and I couldn't find good docs on how to do it elsewhere that worked. The one thing that I can think about is pick the frame where the person is somewhat looking at the camera if not exactly at the camera. Their USB 3 series cams can do the Pretty much any logitech camera is great for openCV, the most common one being the C270. With this opencv build it is possible to use opencv in a kivy project. calibrateHandEye() function implemented. I later tried other newer Fujis and found the preamps to be literally unusably noisy. imwrite("image1. I have an unused network Thermal camera at my workplace that I would like to learn to use. There are two kinds of camera parameters we need to recover. i'm using cv2. This is a subreddit to discuss new cameras and camera comparisons, camera lenses, gear and accessories. View community ranking In the Top 5% of largest communities on Reddit. 2K votes, 47 comments. Is there an easy way to calibrate the camera and undistort the video feed using, say, the most likely curved lines using OpenCv (or other python library)? Has anyone been able to control the exposure (including auto exposure), gain, and autofocus parameters of the built-in rear/main camera on a Microsoft Surface using OpenCV? Using cap. The point of opencv kinda is that any camera, if properly calibrated, works well. If you’ve got a camera that can output 240Hz then the main restrictions are on the communication speed between the camera and your computer, and the processing speed of your computer/algorithm. EVIL, SLR, DSLR, point and shoot, rangefinder, mirrorless, handheld cams etc. This is a great choice if you have the budget and want to do both video and stills. Reddit's most popular camera brand-specific subreddit! We are an unofficial community of users of the Sony Alpha brand and related gear: Sony E Mount, Sony A Mount, legacy Minolta cameras, RX cameras, lenses, flashes, photoshare, and discussion. After all, OCV only provides some basic camera access functionality, same as the GUI in the imgui module. 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. 9. Reddit . We did it on Python/Numpy (we were not allowed to use OpenCV warp calls, but free to use other OpenCV image methods). That said, you haven’t provided a price range or specs that you’re 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 For general-purpose applications, start with a good quality webcam. Highest resolution was highest quality but does it just upscale an image or does it really improve the way the camera captures it? Still 3840x2160 was not as good quality as windows camera software as the title suggests, I'm looking for a good camera & lens (budget 2k) to be able to use OpenCV for grabbing frames. opencv. org. I watched a tutorial on Youtube and read some documentation about stereo camera calibration, but I'm not sure if I'm getting accurate and reliable results, because I don't have the properly stereo camera apparatus, so I'm using the webcam from my notebook and a my cellphone camera (they don't Camera 1 also had quite low distortion compared to cameras 0 and 2, FWIW. read() and image off the stream it gives me a '0 byte' image with no data (this is done with my Hey, I’m a computer vision engineer, have years of experience using computer and machine vision (keyence, cognex, matrox, sensopart, banner, dalsa, datalogic, labview, halcon, opencv, tensorflow, matlab, etc etc etc) I can tell you with full certainty that whoever gives you an absolute answer on what is “best” is either wrong or a Sith Lord, and we don’t live in a galaxy far far away. The robot is a Universal Robot UR10 and the camera is a Intel Realsense L515 I am using OpenCV and in OpenCV there is the cv. That being said - if you are new to FTC and need something simple, I guess both would work. Gige cameras and OpenCV cost less but require more development hours. Terms & Hello guys, i need a depth camera to calculate and get the size of somes objects in a image, do you know some cheap depth camera that i can buy? Recommended HD camera (Best thread i found. 2M subscribers in the raspberry_pi community. Regarding camera selection: The project currently relies on standard webcams. You can load images, manipulate them etc. By default, OpenCV was using a codec that wasn't well-suited for high frame rates. e. My Review of OpenCV Computer Vision with Python . They're cheap (< $100) USB cameras and many come with features like removable / variable lenses and decent mounts. My question is, what is the best way to achieve the optimal result? I'm rather new to all this myself but I can't get the IP camera I have to have a latency under 1000ms over RTSP at all even with ffmpeg (regardless of OpenCV) - but its built-in browser streaming preview has sub-100ms latency and as a hacky workaround I can use OBS to capture the stream and use that as a virtual camera source - though I have to use DroidCam plugin OpenCV applications on the other hand are less standardized and require debugging python or C code, which is difficult for anyone but the original programmer. it's not about the camera but how you use it and how you calibrate the camera to suite your needs. I've found some variation in RMSE post-bundle adjustment across the cameras I've tested. For sports enthusiasts, and if you want a more action-oriented camera, the GoPro MAX is still an acceptable choice in late Officially the BEST subreddit for VEGAS Pro! Here we're dedicated to helping out VEGAS Pro editors by answering questions and informing about the latest news! Be sure to read the rules to avoid getting banned! Also this subreddit looks GREAT in 'Old Reddit' so check it out if you're not a fan of 'New Reddit'. Some reliable models include: Logitech C920: [click to Inexpensive USB cameras with large sensors (9mm or longer diagonal) that work well with opencv We got nice stable calibrations and good accuracy on our results. I've Most of you know that images from a stereo pair (i. Here is the youtube link Reddit's home for let's players, streamers, and any other kind of gaming content creator! Exchange tips and tricks! Hone your craft! Make the best content you can make! Creators big and small are all welcome. Hi, I am trying to calibrate the 'Fish-eye' camera to straighten the distortions. r/opencv A chip A close button. Whether you love Fujifilm's X-Trans mirrorless cameras, GFX medium format cameras, their other digital cameras and DSLRs, or Instax so I need help deciding the best combo. I used a pi cam and the opencv ROS driver, works well. in order for HKSV to work. Skip to main content. In terms of free opensource Can you suggest a camera that works well with OpenCV and is easy to use? This Question has been asked a few times, but most of it has no answer or is old: Recommended For Computer Vision, one of the main sources of data is the cameras. cpp file. Nest cams are super easy to use and decent cost. Our cameras are way worse than a Nest cam. Some even won’t work any more when cutting them off the internet with one’s router eg. The object will be between 10 - 20 cm and my main task is to identify the color (we've already figured out the illuminations problems) Thank you so much! Most of you know that images from a stereo pair (i. camera. I've used the CL-Eye driver, but that only lets me use one I have an idea I want to start creating with opencv but don’t have much money for a camera and was wondering Discover discussions, news, reviews, and advice on finding the perfect gaming laptop. I ran hotels for a long time. Does anybody have any insight into this? Thank you! The figure above illustrates the errors for each camera before and after refinement via bundle adjustment. Let's Play! 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). What are the best websites to read reviews of new lenses? With stats like sharpness testing. How about camera parameters? I remember that low light autoexposure also pulled the framerate down. Review - This course was good. Now I want to move from wifi cameras to POE, and wondering for home usage what would be a good buy, considering that I just need them to check home while I'm away. However, I have no idea how it got such a high review on Udemy of 4. You can get wider-angle cameras but they are nearly $100, so it’s usually easier to It depends what you mean, there are a lot of really good commercial SDK's out there. My camera is attached to the gripper. In a fast paced auto path for your robot, I would go with a good camera and OpenCV every single time. g. Even without optimizing the code, it seemed to work well. But I couldn't find a method in OpenCV Thanks, but I've already chose a Basler camera, at the moment I have 4 Basler dart daA1920-160uc cameras in use. What didn't work was/is the camera. But I'm not sure how I can check this. Camera via: Been about 8 years since I dabbled with a Pi and OpenCV, just picked up a 5 and two cameras and am looking to get back into it. OpenCV has handled MOST of them without issue with its default handling. When we needed to upgrade to high speed, we went with Mightex cameras. Common Vision Blox's and Halcon spring to mind as the best two out there. And the more data you get, the better. I recommend getting a gigE camera from basler and running it to PC. Now I would have to somehow find the position of the goggles in the room from the images like the Windows drivers do, hopefully without any reference objects. Hello all. set(cv2. I am using the 'chessboard' method, but the problem is that for each set of images I take with the 'chessboard,' I get different results, some of them very poor and some at a moderate level. I understand that I would need the intrisics and extrinsics of each camera, but it seems like that most OpenCV functions only are for single-camera calibration. About 30 FPS. It needs to work with OpenCV on a Mac, and needs to allow for manual exposure/gain setting (obviously, since it is for image processing). For I was blind but now Itseez. But if you use OpenCV's highly efficient transforms, I'd bet a decent laptop would do the job. So, a useless video camera. comments. Videocapture(-1) Before I dug to deep into Kivy I found a lazy workaround to grab the images from a kivy. The process of estimating the parameters of a camera is called camera calibration. I am using multiprocessing and it works great! Insignificant lag. It also comes down to how much your time is worth. 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. THE PROBLEM. And what will give more information than a 3D camera? In this We have released a Getting Started with OpenCV tutorial in collaboration with freeCodeCamp. Setup Details Raspberry Pi Model: Raspberry Pi 4 Model B Camera Model: Hikvision DVR cam setup OpenCV Version: OpenCV 4. org . It is not simply possible (afaik) to use cam = cv. It's not too bad, but you need to pay attention to the errata. But I got bad results with the I am trying to calibrate my stereo camera with the OpenCV Samples/stereo_calib. 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 . This means there are plenty of easily identifiable lines which end up curved due to the camera. Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs - Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team. (The opencv one includes compression, which is nice) you can also use a variety of usb cameras with the usb_cam node, I think it’s called. Write an algorithm which will take a frame stream and tell you how far away the red ball is, for instance. Unfortunately I have found that the cheap 2MP USB cameras that I am using allocate an amount of bandwidth from the USB controller that assumes I'll be operating them at 30fps, which means that I can only open 1 or 2 at a time. Once a camera is calibrated, we can accurately predict the 2D pixel coordinates of a 3D point photographed using the camera. It’s funny because these cameras are way better than any footage you ever see in a bank robbery or from any actual security cameras. There are also some $20-99 USB coprocessor sticks, fwiw. Using some video from the internet the results were not really great, but I suppose this is as I trained the classifier with just a few pictures really (like 30 - 40). books, online calibrate fish eye cameras and undistort them (I am using four cameras, right, left, front, back) use preceptive transform to generate a bird's eye view for each of the four frames and now I need to stitch them together, anyone has any idea how to implement this ? I I want to use OpenCv to make the rug into a perfect rectangle. Post reviews, articles, and videos of and share gear news and rumors. It is some issue with the driver. The Insta 360 RS 1-inch takes the first place on the podium for its versatility. OpenCV AI Kit with Depth Hello there. VideoCapture(0) on the very latest sonoma, same version of python3 with opencv 4. Get app Get the Reddit app Log In Log in to Reddit. I'm working on a project that requires the use of OpenCV python and multiple infrared cameras. OpenCV grabs frames from the camera, it doesn’t really go the other way around. 0 Python Version: Python 3. png", frame1)) or if I try to . To fix that, I developed a simple template that automates these tasks and provides a (relatively) user-friendly GUI. I use ELP cameras for a lot of one-off type projects. I'll give a short review of each, with its pros and cons and summarize scores below in a table. jayrambhia. 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. 11 Operating System: Debian GNU/Linux 12 (bookworm) I'm eager to hear any insights, suggestions, or experiences with similar setups that could help me resolve these issues. Stereo comment sorted by Best Top New Controversial Q&A Add a Comment Now I'm not exactly sure as to how I should go about picking this 'best' frame. Good camera capture: The technology or framework should provide a good camera capture experience that allows me to take high-quality images that are suitable for image processing. warpPerspective() but that has left me with these wavy edges. Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. suggests logitech quickcam 9000 pro, not on market anymore) List of compatible camera tested with opencv (dead link, no copy found yet) Industrial Camera in Python (no answer and not what i need) Edit: Just for future readers: We are gone use a Logitech HD Pro c920 for currently 70€. 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. Opencv Multicamera Project . 7/5. For beginners, there are WAY MORE resources available for OpenCV. So the best way is to get your hands on a camera. two cameras) looking at the same scene, can be used to estimate the depth at every pixel. I dunno if it is an actual thing or not i don't have experience in networks or cameras, but in my graduation project i need a wireless camera that can stream (locally) without internet so i can process the stream coming using opencv, i can provide mobile hotspot for it but without data, i don't care much about resolution 720p fine by me, but i need it with short focal lens (as i need . 0 was just released which features a lot of improvements, including a fresh new frontend interface Hello, Tired of repetitively writing the same code for file selection, frame reading, algorithm selection and setup in every project. Not wifi by themselves though. 1 and it works fine, i do have SIP off but not sure that matters connect to cameras configure their resolution, exposure and orientation estimate intrinsic camera parameters (focal length, optical center, distortion) estimate extrinsic parameters (rotation and translation) set the world origin based on the calibration board record synchronized frames I can't speak for that particular camera, but I did have a similar problem. reReddit: Top posts of December 26, 2020. I would recommend getting one of the Luxonis OAK cameras, they are one of the best of the cheaper ones. I am using opencv in Python to capture still images from many cameras at once. I don't believe there is any such limitation on the number of cameras in opencv. I would recommend you to simply work with the camera itself, and then feed the acquired image to OpenCV. 0. Also, It has to be compatible with Raspberry. My laptop was maybe a bit more powerful than normal. Internal parameters of the camera/lens system. gfzje weuqrt paltqqa sjl cmiwl mqthz ryfd yevfoy sfxd lmjhe