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bind_classification's Introduction

bind_classification

image classification project for BIND

사용법

train.py 실행 후, inference.py 실행하여 prediction csv 파일 생성

Example

train.py

python train.py --img_dir [dataset directory] \
                --n_epochs [number of epochs] \
                --name [directory name for save files] \
                --model [architecture of neural net. efficientnetb3 / resnet50] \

batch size, optimizer, seed, n_gpu, gpu_number 등 다양한 arguments들 지정 가능.

inference.py

python inference.py --img_dir [dataset directory] \
                    --save_dir [directory directory for save file] \
                    --model_dir [directory of saved model] \

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