deepdetect

Why we included this project

DeepDetect is a pragmatic pick if you want to serve and train models across several runtimes without juggling multiple tools. It exposes PyTorch, TensorRT, NCNN, Caffe, and XGBoost behind a single REST server and CLI, so you can handle object detection, segmentation, time series, and text workloads with one API. The newer Python wheels embed the runtime directly, and the CLI brings repeatable YAML-based profiles for tasks like YOLOX detection or SegFormer segmentation, which keeps training runs and inference reproducible. For engineers who need a long-running serving process or want model repositories kept tidy on disk, DeepDetect gives you a straightforward path from training script to production HTTP endpoint.