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thtrieu avatar

thtrieu/yolotf

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6,140 Stars·2,026 Forks·Python·GPL-3.0·15 Aufrufe

Yolotf

yolotf ist ein Framework für Objekterkennung, das Tools zur Konvertierung von Darknet-Modellkonfigurationen und -Gewichten in TensorFlow-Graphen bereitstellt. Es enthält einen TensorFlow-Modell-Trainer für das Training neuer Erkennungsmodelle oder das Fine-Tuning bestehender Gewichte mit benutzerdefinierten Datensätzen.

Das Projekt bietet einen Mobile-Model-Exporter, der Graphdefinitionen und Metadaten in Protobuf-Dateien für das Deployment auf mobilen Geräten serialisiert.

Das Framework unterstützt die Objekterkennungs-Inferenz auf Bildern und Videos, um Objekte zu identifizieren und Bounding-Box-Koordinaten zu exportieren. Es verwaltet den Modellzustand durch Weight-Mapping-Übersetzung und checkpoint-basiertes Training, um die Wiederherstellung von Gewichten und Optimizer-Zuständen zu ermöglichen.

Features

  • Model Graph Conversions - Translates Darknet network configurations into TensorFlow computational graphs.
  • Object Detection - Provides a framework for running inference on images and video to identify objects.
  • Video Stream Detections - Processes video streams to identify objects and export annotated output video with bounding boxes.
  • Detection Model Training - Provides capabilities for training or fine-tuning detection models on custom datasets using TensorFlow.
  • Object Detection - Provides a Python interface for running object detection inference on image arrays.
  • Weight Parameter Mapping - Maps binary weight tensors from Darknet files to TensorFlow variables to preserve model state.
  • Cross-Framework Model Conversion - Translates Darknet model configurations and weights into TensorFlow graphs.
  • Framework Format Converters - Translates model configurations and weights from Darknet format into TensorFlow graphs.
  • Image Processing Pipelines - Ships an image processing pipeline that normalizes raw buffers for neural network inference.
  • Training Checkpointing - Implements training checkpointing to save and restore model weights and optimizer states for fault tolerance.
  • Mobile Model Serialization - Serializes trained model graphs and metadata into protobuf files for mobile deployment.
  • Mobile Model Deployment - Exports model graphs and metadata as protobuf files for deployment on mobile devices.
  • Model Export Utilities - Saves graph definitions and metadata to protobuf files for mobile deployment.
  • Model Implementations - Real-time object detection optimized for mobile devices.

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Häufig gestellte Fragen

Was macht thtrieu/yolotf?

yolotf ist ein Framework für Objekterkennung, das Tools zur Konvertierung von Darknet-Modellkonfigurationen und -Gewichten in TensorFlow-Graphen bereitstellt. Es enthält einen TensorFlow-Modell-Trainer für das Training neuer Erkennungsmodelle oder das Fine-Tuning bestehender Gewichte mit benutzerdefinierten Datensätzen.

Was sind die Hauptfunktionen von thtrieu/yolotf?

Die Hauptfunktionen von thtrieu/yolotf sind: Model Graph Conversions, Object Detection, Video Stream Detections, Detection Model Training, Weight Parameter Mapping, Cross-Framework Model Conversion, Framework Format Converters, Image Processing Pipelines.

Welche Open-Source-Alternativen gibt es zu thtrieu/yolotf?

Open-Source-Alternativen zu thtrieu/yolotf sind unter anderem: jwyang/faster-rcnn.pytorch — This project is a PyTorch object detection framework that implements the Faster R-CNN architecture. It serves as a… ultralytics/yolov3 — This is a real-time object detection framework built on the YOLOv3 architecture, implemented in PyTorch. It provides a… thtrieu/darkflow — Darkflow is an object detection framework and computer vision pipeline that provides a programmatic interface for… olafenwamoses/imageai — ImageAI is a Python computer vision library providing a suite of tools for image classification, object detection, and… qqwweee/keras-yolo3 — This project is an object detection framework implementing the YOLOv3 architecture using Keras and TensorFlow. It… meituan/yolov6 — YOLOv6 is a single-stage deep learning framework designed for industrial object detection. It serves as a computer…

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