{"id":18322799,"url":"https://github.com/justsecret123/one-piece-characters-detector","last_synced_at":"2026-04-11T01:15:12.053Z","repository":{"id":174787391,"uuid":"425026910","full_name":"Justsecret123/One-Piece-characters-detector","owner":"Justsecret123","description":"An object detector trained with a Kaggle GPU, using Tensorflow and a fine-tuned ssd resnet50. 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# One Piece characters detector ![Language_support](https://img.shields.io/pypi/pyversions/Tensorflow) ![Last_commit](https://img.shields.io/github/last-commit/JustSecret123/Human-pose-estimation) ![Workflow](https://img.shields.io/github/workflow/status/JustSecret123/Human-pose-estimation/Pylint/main) ![Tensorflow_version](https://img.shields.io/badge/Tensorflow%20version-2.6.2-orange)\n\nAn object detector trained with a Kaggle GPU on One Piece images, using Tensorflow and a fine-tuned ssd resnet50. \n\n\u003e **Deployed on my [personal Docker Hub repository](https://hub.docker.com/repository/docker/ibrahimserouis/my-tensorflow-models)\n\n\u003e **Kaggle Notebook link:  [Kaggle notebook](https://www.kaggle.com/ibrahimserouis99/custom-object-detector-one-piece-characters)\n\n\u003e **One Piece Detector SavedModel : [Drive](https://drive.google.com/drive/folders/11FVvs6Z7yRLAlJgoclrUEnzlsX8uzfkB?usp=sharing)\n\n\u003ca href=\"https://www.linkedin.com/in/ibrahim-serouis-b05378181/\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/LinkedIn-Ibrahim%20Serouis-blue?link=http://left\u0026link=http://right)\"/\u003e\n\u003c/a\u003e\n\n# Model and configuration summary \n\n- Class count : 1\n- Labels : [\"character\"]\n- Model type : detection \n- Base model : ssd_resnet50_v1_fpn_640x640_coco17_tpu-8 \n\n# Results : screenshots\n\n## Sample video\n\n![Test1](/Screenshots/results_detector_1.gif)\n\n## Test with 4 characters\n\n![First test](Screenshots/Results_4_characters.png)\n\n\n# Useful links \n\n## How to run inferences on a video : [commnand line runner](https://github.com/Justsecret123/One-Piece-characters-detector/blob/main/Scripts/op_detector_video.py)\n\n\u003e Note : Before running the script, you must first download the One Piece object detector model [here](https://drive.google.com/drive/folders/11FVvs6Z7yRLAlJgoclrUEnzlsX8uzfkB?usp=sharing).\n\n### Args\n![Command line runner](Screenshots/command_line_video_args.PNG)\n\n### Execution example\n![Execution](/Screenshots/command_line_runner.PNG)\n\nCheck the [sample command for executing the command line runner](/Scripts/op_detector_video.bat)\n\n## Tensorflow Serving container test script \n- [On GitHub](Scripts/Prediction_OP_detection_model.py)\n- [Label map](Scripts/tf_label_map.pbtxt)\n\n## Training notebook \n\n- [Kaggle](https://www.kaggle.com/ibrahimserouis99/custom-object-detector-one-piece-characters)\n- [GitHub](Notebooks/custom-object-detector-one-piece-characters.ipynb)\n\n## How to concatenate mutliple TFRecord files into the Training and Validation sets \n\n- [Kaggle](https://www.kaggle.com/ibrahimserouis99/generate-training-and-validation-records)\n- [GitHub](Notebooks/generate-the-training-and-validation-tfrecords.ipynb)\n\n## Training pipeline configuration file : [Here](Config/pipeline_batch_size_8.config)\n\n## Prerequisites \n\n- Python 3.7 or higher \n- Tensorflow 2.6 or higher \n- Tensorflow Object Detection API\n- NumPy\n- Matplotlib\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjustsecret123%2Fone-piece-characters-detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjustsecret123%2Fone-piece-characters-detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjustsecret123%2Fone-piece-characters-detector/lists"}