D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]

Inference and fine-tuning examples for vision models from 🤗 Transformers

D-FINE-seg Object Detection and Segmentation Framework (Train, Export, Inference)

Plug-and-Play Custom Parsers for AI Models in NVIDIA DeepStream SDK. Supported YOLOv11, D-FINE, SCRFD model.

Mono repo with sinapsis templates for object detection

TensorRT in Practice: Model Conversion, Extension, and Advanced Inference Optimization

D-FINEをGoogle Colaboratory上で訓練しONNXのファイルをエクスポートするサンプル

Object detection is the computer vision task of detecting instances (such as humans, buildings, or cars) in an image. Object detection models receive an image as input and output coordinates of the bounding boxes and associated labels of the detected objects.

DEIMをGoogle Colaboratory上で訓練しONNXのファイルをエクスポートするサンプル

DEIMのPythonでのONNX推論サンプル

D-FINEのPythonでのONNX推論サンプル

This repository contains the code to run the D-FINE object detection model using ONNX Runtime in a Node.js environment. The script processes an input image, performs inference to detect objects, and saves the image with bounding boxes drawn around the detected objects

D-FINEをカスタムデータセットで学習するプログラム