Blue Iris is trying to starts up server. You will need a computer with a decent amount of RAM available,… Hi, I am running deepstack in a docker on Proxmox and HA in a VM. Deepstack really needs a GPU to be anywhere near useful unfortunately. Current Series: DeepStack Extravaganza IV. Service manager updated for stability including the ability to task kill BlueIris. I have now turned that off and set Blue Iris to control the starting of DeepStack. 9. jpg images from Frigate's API. DeepStack is theoretically sound, produces strategies substantially more difficult to exploit than abstraction-based techniques, and defeats professional poker players at HUNL with statistical significance. The steps to creating your custom model API are as below: Collect 100s of sample images of the object (s) you plan to detect. 5 KB. I am using AiTool with DeepStack and I have a few suggestions that worked for me to improve object identification in DeepStack. FoShizzleShindig. Basic Parameters-e VISION-FACE=True This enables the face recognition APIs. Install the Latest Versions of DeepStack to take advantage of this update. Hi guys, I know it might sound like a silly question… but how do I check if the image is being processed by Deepstack portainer? (I have home assistant running on ESXi and I deployed the deepstack using the portainer addon). 3. Windows firewall prompt came up asking if I wanted to allow. A set of Custom Models for security related detections, covering people, vehicles, vehicle number plates, common animals etc. The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. Cancelled alerts say DeepStack -1. Registering. There was a clear line between the path and my drive way but the rectangle of a human only at certain points is almost double the size. Now, when will he add @MikeLud1 plate reading customization to BI so that it is just a check box!!!!! Reactions: tech101, Nunofya, Sphinxicus and 6 others. Now, Deepstack is timing out on nearly 100% of the time, with times of 60032ms or more. DeepStack: From Inception to Open Source. folder name, not sharedfiles as this will conflict with DeepStack’s own models. I have a GTX1080 in there now working and wanted to know if the Quadro K620 would work. I'm using a Jetson Nano (4gb) to offload my deepstack processing from my home ESXI host (which also runs my BI). DeepStack CPU does not use the onboard graphics, it is solely the CPU. DeepStack is an AI server that empowers every developer in the world to easily build state-of-the-art AI systems both on premise and in the cloud. DeepStack UI — Object detection with zero code This article is a step-by-step tutorial on how to use DeepStack-UI with…USPS custom object end point ( link ). Then, your camera will run a simple CURL command to send the latest image from that folder and send it to Telegram. I don't know what the deal is. DeepStack is an AI server that empowers every developer in the world to easily build state-of-the-art AI systems both on premise and in the cloud. 0 Release. Facial recognition with Blue Iris and DeepStack is a kind of hit and miss proposition. Created by: MikeLud. success: Deepstack call status. I took a break from my DeepStack Custom Model project and started work on a DeepStack LPR solution. Create a folder on your machine and move the downloaded model to this folder. 2. HASS-Deepstack-face. [1] It is the first computer program to outplay human professionals in this game. You will need a computer with a decent amount of RAM available, as Deepstack is using deep-learning models. I live in a busy area with a lot of motion activity and I was missing so many alerts with the CPU version. Brooklyn, NY. $1,600 NLH MSPT $400K GTD September 8–10, 2023. TheGroundZero commented Nov 19, 2021. (Please note that. I agree, if you're happy with the results from CompreFace, then there's not much value in running DeepStack. - Enabled Deepstack in one camera. Analyze one each: 750ms always never changed that. Shinobi has a few detection plugins available to use. DeepStack Forum. A. 01 had two of the same files just named differently in folder "C:DeepStackserver" one was named deepstack. You will need a machine with 8GB RAM or an NVIDIA Jetson to run DeepStack. 3. The problem with DeepStack and facial recognition that I see is that you, basically, need to develop your own model. Deepstack is a service which runs in a docker container and exposes various computer vision models via a REST API. View. Let deepstack focus on the complexities of payments technology so you can focus on your product and customers deepstack provides clients with payment processing solutions, including merchant processing services, payments acceptance and disbursements, tokenization, virtual accounts, fraud protection tools, chargeback management, and reconciliation and reporting services. Stars - the number of stars that a project has on GitHub. I switched over from DS to CodeProject a few months ago because people were reporting faster detection times. I also changed the setting for Blue Iris from using the Docker instance, to the local instance. Limit the number of images sent to DS to 30 maximum. Cats come into view and cause false positives at between 5 ft to 20 ft from the camera. Turn off Hardware Acceleration - it uses more CPU% to offload the video to the the GPU than the savings the GPU provides. 09. , 5 p. United States. 4. Home Assistant is open source home automation that puts local control and privacy first. DeepStack analysis is great because it will tell you why alerts were missed. In this tutorial, we are going to guide you on how to perform object detection in images from your web browser without writing a single code, using DeepStack and. I run deepstack in a docker on the same server running agent. These are configurable parameters for my deepstack-object integration, so it is useful to have an app to explore. 1s-2s之内，不过对docker的宿主cpu有点要求第一步： 部署deepstack. I made a lot of progress on the DeepStack LPR. 09. The issue was DS version 2021. I'm not sure I expected this for the CPU version, but the data is convincing. If you run Deepstack on the same machine as Home Assistant, you can simply use the internal local IP address 127. During handling of the above exception, another exception occurred: Traceback (most recent call last):Aug 12, 2021. Does the deepstack container need permission to speak to the agentdvr container somehow?DEEPStack-RBP can learn the relationship between the features and the labels in the layers of the architecture. Revisiting BlueIris, Deepstack and Homeassistant. I figured out the issue and now have Blue Iris starting DeepStack version 2022. This integration adds an image processing. Using Docker for DeepStack Installation. Get Bonus £400. It seems Blue Iris needs server. Does Deepstack gives poor performance regarding face recognition for you? In my case, everything seems to be ok with object detection, but in case of face recognition, there are so many mistakes. Below are my camera settings. 5. 0 and installed SenseAI. # Load Keras Models model1 = tf. exePer the terms, the Bank acquired the assets of Deepstack for a consideration which was paid 70% in cash and 30% in the company’s common stock using the 20 trading-day volume weighted average. That slate. DeepStack is an open-source AI API server that empowers developers, IoT experts to easily deploy AI systems both on premise and in the cloud. I put together a quick guide on how to accomplish this. On Guard Version 3. I recently took the time to configure Deepstack GPU with BI and it is fantastic. Starting DeepStack. The class and number objects of each class is listed in the entity attributes. Home Assistant. I've been playing with a 2Gb Nano to see whether it would be viable as a DeepStack server. payload: Deepstack Object Detection predictions. Install CUDA Toolkit 11. Speed modes have been introduced to allow you easily tradeoff performance for accuracy. exe to run it. 请教deepstack-object跟deepstack-face不能同时一起配置的 么？我只能配其中一个，两个一起配上去，它们两个就都不工作了。So HA is aware of something happening in the stream without needing to detect objects. Of course I've only been running it the last few days here and I was running Ai Tools for about a year. Install DeepStack: Install DeepStack AI Server with instructions on DeepStack's documentation via Download Custom Model: Download the trained custom model actionnetv2. Dec 2, 2022. The deepstack_object component adds an image_processing entity where the state of the entity is the total number of target objects that are found in the camera image. also frigate can you use the Google Coral TPU (an AI accelerator) for. (Please. Date Time Event # Event Name Structures Results; Monday, December 25, 2023: 11:10 AM: 1: $250 NLH UltimateStack $7. In a study completed in December 2016, DeepStack became the first program to beat human professionals in the game of heads-up (two player) no-limit Texas hold'em, a commonly played poker game. Just as a representative example, Blue Iris has native support for DeepStack AI to do machine-learning analysis (optionally GPU accelerated) on camera feeds so that you. 我是在黑群晖. 4. jpg) pictures. Deepstack has been working great for me, but I have a couple questions about things I either don’t understand, or are not working as intended. I currently have Deepstack CPU setup with Blue Iris and I want to setup the GPU version to take some of the load off of my CPU and to process the images faster. Using Windows 10 VM, P620 GPU passthrough, CUDA10, DeepStack-Installer-GPU-2021. The only downside I have found is that the Jetson version. Also can be run on NVIDIA GPU. It's a combination of factors, computing power and the size of the model base, IE how many samples of each object that you want to detect are in the model. DeepStack is the first theoretically sound application of heuristic search methods—which have been famously successful in games like checkers, chess, and Go—to imperfect. The first step would be to create a new DeepStack custom model using the same image that DeepStack used but. HASS-Deepstack-scene. Venetian Hotel and Casino. I currently have Deepstack CPU setup with Blue Iris and I want to setup the GPU version to take some of the load off of my CPU and to process the images faster. Click the “ Start Server” button and select the APIs you want to start. To make use of this integration with Blue Iris , you must first install DeepStack: Using DeepStack with Windows 10 (CPU and GPU)HASS-Deepstack-face. . With WSL installed, you can open the Windows menu and type “WSL” and open the WSL command prompt option presented to you. The admin key protects admin apis such as adding. Deepstack is a service which runs in a docker container and exposes various computer vision. The setup I described in that post worked for over two years. DeepStack 2021. Deepstack object detection can identify 80 different kinds of objects (listed at bottom of this readme), including people (person),. exe if necessary. The Hook Up shows you how to. With WSL installed, you can open the Windows menu and type “WSL” and open the WSL command prompt option presented to you. Asian Poker Tour - APT Hanoi Billions, Vietnam 2023, Hanoi. This would cause blueiris to stall and it would have missing recordings and lots of missing events. There is no cost for using Deepstack and it is fully open source. 2-3. Next, open up the Blue Iris application in Windows, open the settings and go to the AI tab. jpg images from Frigate's API. The Deepstack page also says you can start deepstack with command like I have below: deepstack --VISION-SCENE=True --VISION-DETECTION=True --VISION-FACE=True --PORT 80 However, I have Blue Iris start DeepStack and it has "Default Object Detect" checked (which I'm thinking would be VISION-DETECTION=True if starting from a shell). Solution: make a copy of deepstack. Aug 17, 2022. It makes it so DeepStack doesn't start analyzing External triggers until it detects actual motion in the video. Here is what I am getting so far: I have BI on one machine and deepstack on a separate machine (all windows machines). 20,009. Deploy the trained model to DeepStack and start sending images to it. . AI analysis is taking about 570 ms, which I believe. Apply to motion triggers only: Unchecked. Does Facial Recognition work? I talk through my experience using Double-Take, Deepstack, and CompreFace with the Frigate NVR. Step 1: Install Docker¶ If you already have docker installed, you can skip this step. person) detection using Deepstack, which runs locally in Docker and costs you nothing. If yet to join, do join the forum, we would be happy to hear from you. 9. When the frigate/events topic is updated the API begins to process the snapshot. Deepstack is a service which runs in a docker container and exposes various computer vision models via a REST API. Step 2: Install Deepstack. $70 reduced rake for anyone who registers before the end of level 1. Deepstack is a service which runs in a docker container and exposes various computer vision models via a REST API. World Poker Tour - WPT World Championship at Wynn Las Vegas, Las Vegas. 1 Million in guaranteed tournament prize pools. 受坛友指引，发现了deepstack这个本地的图像识别系统，于是倒腾了一下子，感觉还是可以玩一下的；第一，系统是永久免费；第二，所有的数据都是本地的，识别速度也还可以，基本在0. Note, this only works on intel-based Synology NAS boxes with a minimum of 4GB of RAM. Follow the step-by-step guide for. DeepStack is the first theoretically sound application of heuristic search methods—which have been famously successful in games like checkers, chess, and Go—to imperfect information games. exe to start Deepstack. DeepStack computes this strategy during play only for the states of the public tree that actually arise. 5. Zones were disabled on both cameras, though the one that was working, did have a previously defined zone. After installing deepstack I used this command to start deepstack from powershell deepstack --VISION-DETECTION True --PORT 80. The way I understand the AITools works with this is: 1 - Send image from BI trigger to Deepstack. DeepStack DeepStack is a general-purpose algorithm for a large class of sequential imperfect information games. DeepStack AI plays Taylor von Kriegenbergh. Deepstack-UI is a interactive web application built by Robin Cole. I tried to use my old GTX 680 just to find out its too old. 我现在是用的萤石摄像头，通过nodered萤石节点截图，然后用百度节点识别人数。. Then we need to apply the saved parameters. 168. In my previous Windows build I had the AgentDVR application installed and the DeepStack AI docker container running and it worked great. I also have a Quadro nvs 420 laying around but I'm guessing that will fall under the same "too old" category. It finds me tv every time on the street. The face registration endpoint allows you to register pictures of person. Install the Latest Versions of. 20,516. 5. However, that may just be my system resources (YMMV). A place to share, discuss, discover, assist with, gain assistance for, and critique self-hosted alternatives to our favorite web apps, web services, and online tools. Using deepstack GPU my CPU averages 6-7% and GPU is 1% and I have dual streams with 6 X reolink 5MP cameras live. 4 to be as good as the DeepStack integration with AI Tools was with the exception of the inability to mask the images. 9. @Alfiegerner I also run CompreFace and DeepStack side by side. Alarm data input and stability updates for Foscam 862x and compatibles. How to use: To use the model download licence-plate. I cant edit the zones as this would cause other issues. The solution is made up of two Python scripts the first script crops and rotates (if needed) the license plate. Maybe Blue Iris will be updated to start Deepstack with. On your machine with. Oct 27, `22 - Nov 14, `22. To confirm it is installed you need to enable it in the AI tab of BI and check to make sure it's running by clicking on the link specifically for that on the AI tab. Next step is to consider a CUDA capable graphics card and install the GPU version of DeepStack. As my first post here, my question is what hardware would be needed to run Blue Iris + Deepstack for AI. Support for new Google FCM push notifications. Attached is a DeepStack custom model that can be used to confirm if a license plate is in the FOV of your LPR camera. 6:10 PM. Activity is a relative number indicating how actively a project is being developed. mlody11. Background. Annotate the train and validation samples. AI to provide intelligent object detection and Facial Recognition services. DeepStack is an AI server that provides state-of-the-art AI features including Face Recognition, Object Detection, Scene Recognition and custom AI Models as REST APIs available to all programming languages. AI page. 我现在是用的萤石摄像头，通过nodered萤石节点截图，然后用百度节点识别人数。 但是nodered萤石节点截图经常失败，也尝试过motioneye，把萤石接入到motioneye，然后从motioneye截图，刚开始延时也就慢几秒，但是截图一两次之后延时能慢20多秒，大家都是用的什么方式Pentagano. -v localstorage:/datastore This specifies the local volume where DeepStack will store all data. py", line 186, in face det = detector. deepstack --MODELSTORE-DETECTION "CUsersMyUserDocumentsDeepStack. DeepStack Extravaganza III Poker Tournament August 28 – October 1, 2023. 09. Basic Parameters-e VISION-FACE=True This enables the face recognition APIs, all apis are disabled by default. I gave also. Node Red sees the OBJECT/CONFIDENCE and based on my criteria it passes through to trigger the HD stream of the camera, or it doesn't. 开门检测人员并开灯的自动化 ,『瀚思彼岸』» 智能家居技术论坛. , solve for an approximate Nash equilibrium. For proceeding with Deepstack, I'd first set it up with the default object model using the steps in The Hookup's Beginner's Guide to Blue Iris and Deepstack. Supported platforms are: Linux OS via Docker ( CPU and NVIDIA GPU support ) Mac OS via Docker. 2. I've been running BI with DeepStack (and AI_Tool) for 6 months or so, and it has been working great. pt from this GitHub release. The triggering event causes the camera to record, regardless of Deepstack. You switched accounts on another tab or window. For us, this journey has only began and we regularly. 09. The Titan V is a PC GPU that was designed for use by scientists and researchers. 1. So I've been running BlueIris in combination with DeepStack and AiTools for quite some time, and it's all running quite nicely. The Deepstack API is a free to use AI that can identify objects, faces and more. 我是在黑群晖. The DeepStack Championship II part of the series runs Sept. AI or DeepStack is selected. Date Time Event # Event Name Structures Results; Monday, October 2, 2023: 11:10 AM: 1: $400 NLH Epic Bounty $20K GTD (1Day) $100 Bounties to start / $500 Bounties in the money; View:Massive CPU reduction so installed and setup DeepStack 5. 这次贴子就减少这样的错误，逻辑有问题的话，欢迎指出~. I have also tested object detection in HA using the deepstack object component. DeepStack runs on the docker platform and can be used from any programming language. The GPU version is faster. • •. Docker Jetson deepquestai/deepstack:jetpack-2021. Google TPU： 官网. Started via powershell with: deepstack --VISION-DETECTION True --PORT 80. 4 Million in guaranteed tournament prize pools. 4. . Using a type of artificial intelligence its creators describe as “intuition,” DeepStack widely defeated 10 out of 11 professional players from the International Federation of Poker in a game. 7:10 PM. Reload to refresh your session. 1' and 5000. Deepstack AI. Installing DeepStack is a very simple process thanks to the magic of Docker and WSL 2. I was able to get my 3060 to work with DeepStack, follow the steps below. In the AI tab under the Blue Iris Settings "Use custom models" still has a check but the input is blank. AI Tool continues to have both instances configured for use. 01. Features. First some information about my hardware. Deepstack object detection can identify 80 different kinds of objects (listed at bottom of this readme), including people (person), vehicles and. But compreface is much more accurate than deepstack. It works, but it's redundant for most usecases. $2,500 NLH Ultimate Bounty Day 1A $1 Million GTD (2Day) $500 Bounties from the start & $5,000 bounties on Day 2. DeepStack walkthrough with the CIFAR-10 dataset. 6. Currently SynoAI makes use of the object detection model, which allows detection of people, cars, bicycles, trucks and even giraffes! For a full list of supported types see. I confirmed the Deepstack process was running, accessible in the web browser, tried rebooted everything multiple times, but nada, continuous Deepstack timeouts. DeepStack handily beat 10 of the 11 with a statistically significant victory margin, and still technically beat the 11th player. I didn't expect this to work first shot, since its a work in progress and very beta. You will need a machine with 8GB RAM or an NVIDIA Jetson to run DeepStack. m. At the end of the day, you basically have 3 levers to play with: The sub stream is where motion detection occurs (if you setup dual streams). DeepStack ExDark - Detect objects in dark/night images and videos. I let Windows do the search and install via Device Manager>Display Adaptors>NVIDIA T600>Properties>Driver>Update Driver. Once I took deepstack off my BI VM at 16gb hangs at 40% utilization. Using a type of artificial intelligence its creators describe as “intuition,” DeepStack widely defeated 10 out of 11 professional players from the International Federation of Poker in a game. Location. Navigate to this URL: Click the Download CPU Link for Windows. Some commands take an object ID ( displayed at the top of the edit device tab) and a type ID () 1. Home Assistant custom component for Deepstack scene recognition. Looking at your sig line I see you have a GTX1660. 0. I've enabled zones for both cameras (Zone A) covering everything, so we'll see how that goes. So HA is aware of something happening in the stream without needing to detect objects. I've been playing with CodeProject. Still, DeepStack is a few years away from truly being able to mimic complex human decision making, Bowling says. It provided faster results and overall used less CPU. 2023 DAILY DEEPSTACK RESULTS. Part 2 will cover adding cameras t. BlueIris itself likes to hold around 8gb. Went back to Deepstack and I'll check out SenseAI when they support GPU. -p 80:5000 This makes DeepStack accessible via port 80 of the machine. File "C:DeepStackintelligencelayersharedface. If any of the target labels were detected, sssAI then tells SSS to send a notification via a webhook. At least with 5 minutes of testing, it seems to be working well. Also confirmed is the full schedule for Event #76: 2023 World Series of Poker Main Event which gets underway on Monday, July 3, 2023. Learn how to install and use DeepStack CPU and GPU version on Windows 10 with NVIDIA GPUs. By itself, the Coral is not great for reading the streams as a whole. We introduce DeepStack, an algorithm for imperfect information settings. I have found the DeepStack integration with BI 5. 30 min levels. DeepStack Trainer. Yeah DeepStack with the custom models work for my purposes, but I'm totally cool with BI looking to incorporate other methods as one may turn out to be better. AndrewWSymons. Annotate the train and validation samples. Powered by a worldwide community of tinkerers and DIY enthusiasts. Many of us have found the GPU version is faster, but we have been on older machines. Picks it up at the front garden though (albeit. At the moment all motion detection is setup on the. 01. Wow, I think that was it. Model Type: Refer to repository linked below. Home Assistant custom component for Deepstack object detection. g. When a Frigate event is received the API begins to process the snapshot. It allows anyone to run any image through DeepStack’s object detection API in a user-friendly web interface and customize your. 265 but decided to setup a dedicated BI box with the 4gen CPU, I could change back to H. Monday, March 6, 2023. #1. Frigate and deepstack run on jetson + coral, as jetson has a hardware video decoder for frigate, and gpu for deepstack. Deepstack "should" ignore vehicles that were previously seen, but aren't moving (indicated as "occupied" status), but snow and rain always foiled this. This made it a little better, didnt see a T+0 but saw it at +66msec or lower vs +2000 or more we seen before. As part of the effort to provide a collection of sample custom DeepStack models trained on popular and custom datasets, we are happy to announce the release of the DeepStack_ExDark custom model for detecting people and 11 other common objects in. The DeepStack Championship Poker Series ran from May 22 to July 31 and featured nearly $14 million in guaranteed prize pools across dozens of events at Venetian Las Vegas. The machine still has to learn how to more accurately handle scenarios where the rules of the game are not known in advance, like versions of Texas Hold ‘em that its neural networks haven't been trained for, he says. This means that players will face higher blinds and antes much more quickly than in other tournaments. Installed Deepstack CPU version with default values. deepstack analyzing upto 5 snapshots per second (in both ai tools and official BI integration). Deepstack object detection can identify 80 different kinds of objects, including people, vehicles and animals. Purpose: Person, Vehicles, Number Plate detections for security. m. The deepstack-ui is designed to be run in a docker container. I do want to add support for object recognition in the future which DeepStack supports. The more captures for each face in the model, under varying conditions of angles and lighting, the more accurate it can be. Deepstack does have a dark training set that may help with night. Oct 10, '23 - Nov 04, '23: 2023 Big Poker Oktober: Parkwest Bicycle Casino Bell Gardens, CA2023 DeepStack Extravaganza IV. The recently-completed Venetian 2023 DeepStack Extravaganza I catered to 4,268 entrants & awarded $2,372,034 in prize money. . And then of course the cost of a good GPU is expensive. You can join the waiting list to have first hand experience of DeepStack 2. Confirm that Deepstack is. 264 but so far so good. This project reimplements DeepStack as a player for heads-up no-limit Leduc holdem, a much simpler game than Texas hold'em. Create API and Detect ObjectsDeepStack 'Confirmed' events have the same statistics as 'Cancelled' events, regardless of the version. DeepStack is device and. First model is VGG16, second one is VGG19 and last one is CNN with 6 fully connected layers. And also seeing if there was any way to improve my already functioning setup. If you plan to run CodeProject. 168. Home Assistant is an open-source and extensible platform for home automation that can run on local embedded devices or servers while maintaining local control and privacy. A novel method DeepStack-DTIs for drug-target interactions prediction. I have 6 cameras running on an intel 4460 CPU with 8GB ram, CPU usage is under 10% and RAM is at 50%. 0. We will start creating simple CNNs for. The DeepStack project was conceptualized in mid-2018 with the dream to build a unified, self-contained AI engine that is cross-platform and programming. 254. $10K Gtd. Anytime I try to go to I get ERR_NAME_NOT_RESOLVED , which I believe is a DNs/firewall issue. thank you so much for this guide. Its probably missing something from Home Assistant but its. (The combined model seems to be a little lighter weight than the default. The GTX 1050 is poor value, the GTX 1060 has double the CUDA cores. HASS-Deepstack-scene. Very quick and painless and it worked great! That was a over a month ago. object_detected is fired for each object detected. Nov 1, `22 - Nov 30, `22. Once downloaded, double-click the . Follow instructions on read :ref:`home` to install the CPU Version of DeepStack If you have a system with Nvidia GPU, follow instruction on read :ref:`gpuinstall` to install the GPU Version of DeepStackDeepStack Extravaganza III. Apply to motion triggers only: Unchecked. A set of Custom Models for security related detections, covering people, vehicles, vehicle number plates, common animals etc. Train your custom model using the Colab notebook provided in this documentation. I have been running 14 out of 16 cameras through DeepStack integration for the last year using the AI Tools integration without any real issues to almost eliminate false triggers like shadows, bugs, and bushes blowing in the breeze. Learn how to use Blue Iris NVR Software and Deepstack AI Computer Vision for security camera recording with this video tutorial. This article is a continually updated FAQ on how to use Blue Iris with CodeProject. DeepStack’s victory as analyzed by AIVAT was 486 milli-big-blinds. DeepStack is device. Pentagano. In a study completed in December 2016, DeepStack became the first program to beat human professionals in the game of heads-up (two player) no-limit Texas hold'em, a commonly played poker game. It is the first computer program to outplay human professionals in this game. normally about 500ms. pt via this link. My home assistant and frigate/coral are on different boxes so tried to compile the dockerfile but failed. When adding it, I saw a huge increase in the time it took to analyze an image though (200ms to like 2000+).