DeepDetect provides a deep learning server and command-line interface for Torch and TensorRT.

github.com/jolibrain/deepdetect
DeepDetect homepage screenshot

About DeepDetect

DeepDetect is a deep learning runtime, command-line tool, and REST server for training and inference with Torch and TensorRT. The Python wheel embeds the runtime and provides the deepdetect CLI, while the server supports long-running REST services and containerized serving. It handles images, text, CSV/tabular data, time series, sparse data, detection boxes, and segmentation masks through a single API surface. Workflows use YAML config files and CLI profiles such as YOLOX and SegFormer. The CPU and GPU wheels are mutually exclusive, and default configs require dataset, weight, and repository paths to be replaced before real use.

Key features

  • Train models and run inference via CLI or REST API
  • Create model services and monitor training jobs
  • Organize model repositories on the filesystem
  • Handle images, text, CSV, time series and segmentation masks
  • Provide CLI profiles for YOLOX detection and SegFormer segmentation
  • Use YAML config files to make training and inference repeatable
Best for: Developers who need CLI and REST-based training and inference for image and text models.
Good for
  • Single API surface for multiple data types
  • Offers both embedded Python wheel and long-running REST server
  • YAML configs and CLI profiles support repeatable runs
Watch out for
  • CPU and GPU wheels cannot be used in the same environment
  • Default example configs require path replacement before real use

DeepDetect at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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DeepDetect FAQ

How do I install DeepDetect?
Install one wheel variant with pip using the extra index URL: deepdetect-cpu for CPU, or deepdetect-gpu for a CUDA-enabled environment.
Can the CPU and GPU packages be installed together?
No. Both provide import deepdetect, so they are mutually exclusive in the same environment.
What CLI profiles are included first?
yolox for object detection, segformer for semantic segmentation, torchvision-detector, external-pytorch-detector, and external-pytorch-image.
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