- Download SRCNN weights and place it in
server/label_scale_bar_detector/OCR/SRCNN-pytorch/weights/
. - Download Darknet weights and place it in
server/label_scale_bar_detector/localizer/darknet/backup
. - Download Mask RCNN weights and place it in
server/Mask_RCNN/logs/tem
.
Run conda env create -f environment.yml
.
Note: Installation using this yml file has been tested only on MACOSX.
export CORS_DEBUG="True"
cd client && npm start
.cd server && uvicorn main:app --reload
.
The following is an illustration of the results displayed when a sample TEM image is uploaded.
- https://github.com/AlexeyAB/darknet
- https://github.com/yjn870/SRCNN-pytorch
- https://github.com/matterport/Mask_RCNN
If you use this code, please cite the following manuscript:
@misc{subramanian2021dataset,
title={Dataset of gold nanoparticle sizes and morphologies extracted from literature-mined microscopy images},
author={Akshay Subramanian and Kevin Cruse and Amalie Trewartha and Xingzhi Wang and Paul Alivisatos and Gerbrand Ceder},
year={2021},
eprint={2112.01689},
archivePrefix={arXiv},
primaryClass={cond-mat.mtrl-sci}
}