Care sunt principalele funcționalități ale thtrieu/yolotf?

Principalele funcționalități ale thtrieu/yolotf sunt: Model Graph Conversions, Object Detection, Video Stream Detections, Detection Model Training, Weight Parameter Mapping, Cross-Framework Model Conversion, Framework Format Converters, Image Processing Pipelines.

Care sunt câteva alternative open-source pentru thtrieu/yolotf?

Alternativele open-source pentru thtrieu/yolotf includ: 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…

thtrieuyolotf

Name: thtrieu/yolotf
Author: thtrieu

View on GitHub

6,140 stele2,026 fork-uriPythonGPL-3.012 vizualizări

Yolotf

yolotf este un framework de detecție a obiectelor care oferă instrumente pentru convertirea configurațiilor și ponderilor modelelor Darknet în grafuri TensorFlow. Include un antrenor de modele TensorFlow pentru antrenarea de noi modele de detecție sau fine-tuning-ul ponderilor existente folosind seturi de date personalizate.

Proiectul dispune de un exportator de modele mobile care serializează definițiile grafurilor și metadatele în fișiere protobuf pentru deployment pe dispozitive mobile.

Framework-ul suportă inferența de detecție a obiectelor pe imagini și video pentru a identifica obiecte și a exporta coordonatele bounding box-urilor. Gestionează starea modelului prin traducerea mapării ponderilor și antrenare bazată pe checkpoint-uri pentru a permite restaurarea ponderilor și a stărilor optimizatorului.

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.

Istoric stele

thtrieuyolotf

View on GitHub

6,140 stele2,026 fork-uriPythonGPL-3.012 vizualizări

Yolotf

Proiectul dispune de un exportator de modele mobile care serializează definițiile grafurilor și metadatele în fișiere protobuf pentru deployment pe dispozitive mobile.

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.

Alternative open-source pentru Yolotf

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jwyang/faster-rcnn.pytorch
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ultralytics/yolov3
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thtrieu/darkflow
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olafenwamoses/imageai
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Vezi toate cele 30 alternative pentru Yolotf

Întrebări frecvente

Ce face thtrieu/yolotf?

Istoric stele

Alternative open-source pentru Yolotf

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu Yolotf.

jwyang/faster-rcnn.pytorch
jwyang/faster-rcnn.pytorch
7,859Vezi pe GitHub
This project is a PyTorch object detection framework that implements the Faster R-CNN architecture. It serves as a vision model for predicting precise bounding boxes around multiple objects within images and live video feeds. The system is optimized for multi-GPU training to reduce the time required for model convergence. It utilizes a GPU-accelerated design to handle the training and inference of complex detection networks. The framework covers the full object detection lifecycle, including custom network training and inference for static images and real-time video streams. It includes capa
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ultralytics/yolov3
ultralytics/yolov3
10,571Vezi pe GitHub
This is a real-time object detection framework built on the YOLOv3 architecture, implemented in PyTorch. It provides a complete pipeline for identifying and localizing objects in images and video using a single neural network pass, combining a Darknet-53 backbone with multi-scale feature pyramids and anchor-based bounding box prediction. The framework extends beyond basic detection to include instance segmentation, human pose estimation, and multi-object tracking across video frames. It offers a model export toolkit that converts trained models through ONNX to CoreML, TensorFlow Lite, and Ten
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thtrieu/darkflow
thtrieu/darkflow
6,140Vezi pe GitHub
Darkflow is an object detection framework and computer vision pipeline that provides a programmatic interface for performing real-time image analysis and object identification. It functions as a tool for loading weights, fine-tuning models, and executing inference on both static images and video feeds. The project serves as a converter that translates Darknet configurations and weights into TensorFlow graphs to enable retraining and deployment. It includes a model exporter that saves trained graphs into portable protobuf files for use on mobile and native devices. The system covers capabilit
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olafenwamoses/imageai
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Vezi toate cele 30 alternative pentru Yolotf

Yolotf

Features

Istoric stele

Yolotf

Features

Alternative open-source pentru Yolotf

jwyang/faster-rcnn.pytorch

ultralytics/yolov3

thtrieu/darkflow

OlafenwaMoses/ImageAI

Întrebări frecvente

Istoric stele

Alternative open-source pentru Yolotf

jwyang/faster-rcnn.pytorch

ultralytics/yolov3

thtrieu/darkflow

OlafenwaMoses/ImageAI

Întrebări frecvente