readme Thyroid train job

use dcm file and xiaobai's json format to generate lableme's format and train model

--21/08/20 first edition. --22/01/29 mou want thyroid nodule model.

Name		Name	Last commit message	Last commit date
Latest commit History 107 Commits
annotationFormatConverter		annotationFormatConverter
processImgs		processImgs
.gitignore		.gitignore
convert_ThyNodulesJson.py		convert_ThyNodulesJson.py
copySeperatesFile2OneHome_for301pxCasesHasTooMuchFolder.sh		copySeperatesFile2OneHome_for301pxCasesHasTooMuchFolder.sh
delete-dcm.sh		delete-dcm.sh
extract_all_imgs_from_dicom.ipynb		extract_all_imgs_from_dicom.ipynb
extract_all_imgs_from_dicom.py		extract_all_imgs_from_dicom.py
findFieldsNotCorrect.sh		findFieldsNotCorrect.sh
getTrainHisFromS3.sh		getTrainHisFromS3.sh
imgpath2jsonPath.ipynb		imgpath2jsonPath.ipynb
moveDcmImgFoldersToNewHome.sh		moveDcmImgFoldersToNewHome.sh
mv-dir.sh		mv-dir.sh
opencvTrackbarpos.py		opencvTrackbarpos.py
parse_xiaobai_annotations210821.ipynb		parse_xiaobai_annotations210821.ipynb
readme.md		readme.md
removeBlankImagesOutofContinusLabelsRange.py		removeBlankImagesOutofContinusLabelsRange.py
renameDcmFiles.sh		renameDcmFiles.sh
renameFolderToEnglish.sh		renameFolderToEnglish.sh
sendThynodulesDataSetToS3.sh		sendThynodulesDataSetToS3.sh
start_jupyter.sh		start_jupyter.sh
statistics_train_data.py		statistics_train_data.py
statistics_train_datasets.ipynb		statistics_train_datasets.ipynb
thyroidNodulesStatistics-v3_etonAddSelectMar.xlsx		thyroidNodulesStatistics-v3_etonAddSelectMar.xlsx
train_test_split.ipynb		train_test_split.ipynb

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