- Deepstack Does anybody out there have any thoughts regarding the better object recognition platform? I'm currently using DOODS and fairly happy with it, but I'm wondering about possible speed/accuracy improvements if I move to Deepstack.
- DeepStack's developer centre. DeepStack across all supported platforms provies in-built state-of-the-art AI APIs and support for Custom APIs for custom objects detection and recognition.
![Deepstack Deepstack](/uploads/1/3/6/2/136289332/567274407.png)
A deep stack is 200BB+. What it means to be deep stacked is you can call pot sized bets on every street and not be allin. A short stack will be allin w/2 or less pot sized bets a medium stack w/3.
Official Documentation and Guide for DeepStack AI Server.
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. The promises of Artificial Intelligence are huge but becoming a machine learning engineer is hard. DeepStack is device and language agnostic. You can run it on Windows, Mac OS, Linux, Raspberry PI and use it with any programming language.
DeepStack’s source code is available on GitHub via https://github.com/johnolafenwa/DeepStack
DeepStack is developed and maintained by DeepQuest AI .
Using DeepStack, we can classify the scene of the above image as seen below.
Response
DeepStack is available in three variants, CPU Version, GPU Version, NVIDIA Jetson and Raspberry PI Version (With Support for Intel Neural Compute Stick)
Installation Guide for CPU Version
![Deepstack Deepstack](/uploads/1/3/6/2/136289332/565653929.jpg)
Step 1: Install Docker (If not already installed)Mac OS and Windows Users can install docker from Docker’s Website .
To install on a Linux operating system, run the commands below
Step 2: Install DeepStack
Run DeepStack with Scene Recognition API enabled
Run the command below as it applies to the version you have installed
Basic Parameters
-e VISION-SCENE=True This enables the scene recognition API.
Deepstacks Poker
-p 80:5000 This makes DeepStack accessible via port 80 of the machine.
Deepstack For Windows
Run the example scene recognition code at the begining of this page to verify your installation is working.
House of fun free coins. Contents:
Deepstack Extravaganza
- Getting Started
- Face Recognition
- Face Detection
- Face Match
- Object Detection
- Scene Recognition
- Custom Models
- Custom Models: Samples
- Security
- Backup
- Using DeepStack with NVIDIA GPUs
- Using DeepStack with Windows 10 (CPU and GPU)
- Using DeepStack with NVIDIA Jetson
- Using DeepStack on Raspberry PI - ALPHA
- General questions
- Installation & starting issues
- APIs: Face
- APIs: Object Detection
- APIs: Scene Recognition
- APIs: Custom Models
- APIs: Security
- Best Practices
- API Reference
- Release Notes