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chriamue
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bird-species-dataset

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Image Classification

Sub-tasks:

multi-class-image-classification

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bird-species-dataset / update.py

chriamue's picture

update script now generates tar gz

53af02c 7 months ago

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	import os
	from kaggle.api.kaggle_api_extended import KaggleApi
	import shutil
	import tarfile

	data_dir = 'data/'
	kaggle_api = KaggleApi()
	kaggle_api.authenticate()
	kaggle_api.dataset_download_files('gpiosenka/100-bird-species', path=data_dir, unzip=True)

	# There is a bug in the dataset, where one of the folders is named "PARAKETT AUKLET" instead of "PARAKETT AUKLET"
	# We fix it by adding a space to the valid folder, because train and test are wrong and also the names in the labels file
	# Fixing the path
	fault_path = os.path.join(data_dir, 'valid', 'PARAKETT AUKLET')
	correct_path = os.path.join(data_dir, 'valid', 'PARAKETT AUKLET')
	shutil.rmtree(correct_path, ignore_errors=True)
	shutil.move(fault_path, correct_path)

	# Compressing the train directory
	with tarfile.open(os.path.join(data_dir, 'train.tar.gz'), 'w:gz') as tar:
	tar.add(os.path.join(data_dir, 'train'), arcname=os.path.basename(os.path.join(data_dir, 'train')))

	# Compressing the test directory
	with tarfile.open(os.path.join(data_dir, 'test.tar.gz'), 'w:gz') as tar:
	tar.add(os.path.join(data_dir, 'test'), arcname=os.path.basename(os.path.join(data_dir, 'test')))

	# Compressing the valid directory
	with tarfile.open(os.path.join(data_dir, 'valid.tar.gz'), 'w:gz') as tar:
	tar.add(os.path.join(data_dir, 'valid'), arcname=os.path.basename(os.path.join(data_dir, 'valid')))

	os.remove(os.path.join(data_dir, 'EfficientNetB0-525-(224 X 224)- 98.97.h5'))