mmdetection uses tensorboard to visualize the training and verification set indicator parameters - Code World

mmdetection uses tensorboard to visualize the training and verification set indicator parameters

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mmdetection uses tensorboard to visualize the training and verification set indicator parameters

MMDetection training custom data set

Use Tensorboard to visualize the training process under the Pytorch framework

Create a training data set that meets the requirements of MMdetection

Visualize the data distribution of training set and test set (can be run directly)

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How to set up the training set, verification set and test set?

YOLO divides the data set (training set, verification set, test set)

TensorFlow-- start TensorBoard and visualize

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Target detection algorithm --- divide the data set into training set and verification set

Installation and verification of MMDetection

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Springboot uses JSR303 to verify the submitted parameters, including group verification and custom verification

Play with the data set file, training plan file, operation information file and specific parameter interpretation in MMDetection-MMDetection (2)

AutoDL uses tensorboard

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Early Stopping: The early stop method is an early stop training strategy, that is, when the performance on the verification set is not good, stop the training

SpringBoot optimizes the control layer code, uses @Valid to verify the incoming parameters, and customizes a parameter verification annotation

Divide the SSDD dataset into training set, verification set and test set in proportion, and convert from VOC annotation format to COCO format

(6) Verification of business parameters

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