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DeepStack v1.1.2 documentation
Contents:
Getting Started
Setting Up DeepStack
Starting DeepStack
Face Recognition
Performance
Face Recognition
Starting DeepStack on Docker
Face Registration
Face Recognition
Extracting Faces
Setting Minimum Confidence
Managing Registered Faces
Performance
Face Detection
Face Match
Performance
Object Detection
Starting DeepStack
Setting Minimum Confidence
CLASSES
Performance
Scene Recognition
Starting DeepStack
Custom Models
Preparing Your Dataset
Step 1: Install LabelIMG
Step 2: Organize Your Dataset
Step 3: Run LabelIMG
Change Annotation to YOLO Format
Step 4: Annotate Your Dataset
Annotate Your Test Dataset
Training Your Custom Model
Option 1: Training on Google Colab with Free GPUS
Option 2: Training Locally
Step 1 : Install CUDA and CUDNN
Step 2 : Install Pytorch
Step 3 : Clone DeepStack Trainer
Step 4: Train your Model
Important Parameters
Deploying Your Model With DeepStack
Run DeepStack
Starting DeepStack
Run Inference
Security
Setting API Key
Setting Admin keys
Backup
Backups
Restore
Using DeepStack with NVIDIA GPUs
Step 1: Install Docker
Step 2: Setup NVIDIA Drivers
Step 3: Install NVIDIA Container Toolkit
Step 4: Install DeepStack GPU Version
Step 5: RUN DeepStack with GPU Access
RUN with All APIs
Using DeepStack with Windows 10 (CPU and GPU)
Install DeepStack CPU
Install DeepStack GPU
Using DeepStack on Windows
Custom Models
RUN with All APIs
Speed Modes
API and Admin Keys
Using DeepStack with NVIDIA Jetson
Step 1: Install Docker
Step 2: Install DeepStack GPU for Jetson
Step 3: RUN DeepStack GPU on Jetson
RUN with All APIs
Using DeepStack on Raspberry PI - ALPHA
Installing DeepStack
Using DeepStack
Stopping DeepStack
Using Custom Ports
Limitations
Known Issues
Best Practices
API Reference
Release Notes
DeepStack v1.1.2 documentation
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