PyTorch Realization | License plate OCR recognition, "PyTorch Deep Learning Target Detection" - Code World

PyTorch Realization | License plate OCR recognition, "PyTorch Deep Learning Target Detection"

Enterprise 2023-07-29 12:38:04 views: null

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PyTorch Realization | License plate OCR recognition, "PyTorch Deep Learning Target Detection"

python tensorflow pytorch deep learning license plate recognition

N ways of license plate recognition - from OCR to deep learning

PyTorch Deep Learning Practice (18) - Target Detection

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[python ++ opencv + pytorch] license plate extraction, segmentation, recognition

license plate recognition api interface license plate recognition SDK license plate recognition OCR

End-to-end intelligent license plate recognition based on OpenCV+LPR model - deep learning and target detection algorithm application (including Python+Andriod all project source code)+CCPD data set

Realization of Vehicle License Plate Recognition System (2)-License Plate Location

Realization of License Plate Recognition System Based on Matlab

Object detection object detection object recognition and coco dataset hands-on deep learning v2 pytorch

[Deep learning target detection] Pytorch learning (1) Loading of DataSet data sets

[AI] "Hands-on Learning - Deep Learning - PyTorch Edition" Notes (21): Target Detection

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License Plate Detection and Recognition in Unconstrained Scenarios (unconstrained license plate detection and recognition in the scene)

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Cloud license plate recognition - license plate recognition OCR technology deployed on the server

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[Baidu AI] Baidu OCR license plate recognition V3

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High-precision crop machine and pedestrian target detection system based on deep learning (PyTorch+Pyside6+YOLOv5 model)

High-precision 80-category animal target detection system based on deep learning (PyTorch+Pyside6+YOLOv5 model)

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High-precision pigeon detection and recognition system based on deep learning (PyTorch+Pyside6+YOLOv5 model)

High-precision kangaroo detection and recognition system based on deep learning (PyTorch+Pyside6+YOLOv5 model)

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