GitHub - R-Shief/youtube8m-video-classifier: Kaggle Youtube 8M WILLOW approach

R-Shief Video Classifier Microservice

This is the inference model for the R-Shief video classifier pipeline. It's a fork of Antoine77340's open source WILLOW, which is a highly effective inference model for frame level video features extracted via Google's Youtube8m MediaPipe feature extractor, for which we also have a Dockerized micro-service fork. This fork modifies the model inference code to work as a Dockerized micro-service.

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
average_precision_calculator.py		average_precision_calculator.py
cloudml-gpu-distributed.yaml		cloudml-gpu-distributed.yaml
cloudml-gpu.yaml		cloudml-gpu.yaml
convert_prediction_from_json_to_csv.py		convert_prediction_from_json_to_csv.py
eval.py		eval.py
eval_util.py		eval_util.py
export_model.py		export_model.py
file_averaging.py		file_averaging.py
frame_level_models.py		frame_level_models.py
inference.py		inference.py
losses.py		losses.py
mean_average_precision_calculator.py		mean_average_precision_calculator.py
model_utils.py		model_utils.py
models.py		models.py
readers.py		readers.py
train.py		train.py
utils.py		utils.py
video_level_models.py		video_level_models.py

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R-Shief/youtube8m-video-classifier

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R-Shief Video Classifier Microservice

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