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One Piece characters detector Language_support Last_commit Workflow Tensorflow_version

An object detector trained with a Kaggle GPU on One Piece images, using Tensorflow and a fine-tuned ssd resnet50.

**Deployed on my personal Docker Hub repository

**Kaggle Notebook link: Kaggle notebook

**One Piece Detector SavedModel : Drive

Model and configuration summary

  • Class count : 1
  • Labels : ["character"]
  • Model type : detection
  • Base model : ssd_resnet50_v1_fpn_640x640_coco17_tpu-8

Results : screenshots

Sample video

Test1

Test with 4 characters

First test

Useful links

How to run inferences on a video : commnand line runner

Note : Before running the script, you must first download the One Piece object detector model here.

Args

Command line runner

Execution example

Execution

Check the sample command for executing the command line runner

Tensorflow Serving container test script

Training notebook

How to concatenate mutliple TFRecord files into the Training and Validation sets

Training pipeline configuration file : Here

Prerequisites

  • Python 3.7 or higher
  • Tensorflow 2.6 or higher
  • Tensorflow Object Detection API
  • NumPy
  • Matplotlib