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.env | ||
.DS_Store | ||
__pycache__/ | ||
__pycache__/ | ||
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ml-model/formula_images/ | ||
ml-model/output/ | ||
ml-model/crop_formula_images/ | ||
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output.zip | ||
*.zip | ||
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.ipynb_checkpoints/ | ||
data/ | ||
.DS_Store | ||
*.gz | ||
*.venv | ||
simese_data/ | ||
venv/ | ||
ml-model/model.pt | ||
training_data/ | ||
*.png | ||
im2latex/ | ||
ml-model/model.pt | ||
simese_data/ | ||
venv/ | ||
*.pem | ||
ml-model/paths_output.csv | ||
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ml-model/web/__pycache__/ |
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MIT License | ||
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Copyright (c) 2022 Cornell Data Science | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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# MathSearch | ||
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A next generation search engine for researchers that supports searching with LaTeX math script. | ||
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Refer to our [wiki](https://github.com/CornellDataScience/MathSearch/wiki) to get started :-) |
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# ML Model Branch | ||
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## Design choice | ||
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We link the design choices in the follow google docs; | ||
https://docs.google.com/document/d/1vf85MGTYNEiqmlLApEDHS9gEdpwMC6Jg1svBZvlxrbo/edit?usp=sharing | ||
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## Folders | ||
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- preprocessing/ - code for dataset augmentation, | ||
- files/ - code for VGG | ||
- model/ - code for VGG and Siamese neural networks | ||
- yolov5/ - all the code for yolov5 | ||
- archive/ - deprecated folders | ||
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# Setup | ||
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### Requirements | ||
Install requirements via `pip install -r requirements.txt` in the files/ directory. | ||
### Finetuning | ||
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- #### Siamese w/ VGG | ||
The dataset used to finetune VGG can be found here, in `training.zip`: https://huggingface.co/dyk34/Training-Data-MathSearch/tree/main. | ||
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Change the `data_dir, training_dir, training_csv, testing_csv, testing_dir` variables in the `siamese.py` file. | ||
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Run `python siamese.py`. | ||
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- #### Yolov5 | ||
The dataset to finetune Yolov5 can also be found here: https://huggingface.co/dyk34/Training-Data-MathSearch/tree/main. | ||
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### Inference | ||
- #### Siamese w/ VGG | ||
To run VGG in Pytorch, load a Siamese Network with | ||
``` | ||
vgg19_model = models.vgg19() | ||
net = SiameseNetwork(vgg19_model) | ||
model.load_state_dict(torch.load('model.pt')) | ||
``` | ||
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and run `model(image1, image2)` to get the latent space distance between image1 and image2. | ||
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- ### Yolov5 | ||
To segment an image, run | ||
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`python segment/predict.py --weights {weights} --data {img}` | ||
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# SWE | ||
<img width="700" alt="full pipeline" src="https://github.com/CornellDataScience/MathSearch/assets/44758321/bcb8dff2-0e21-474f-9f19-915cda76262c"> | ||
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## Frontend Public IP | ||
### As time: 5/29 3:12PM | ||
Everytime EC2 instance gets restarted, new IP and new SSH ip is be generated and need to be updated for config and domain redirection. | ||
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Public IP: `http://18.206.12.64` | ||
SSH: `ec2-18-206-12-64.compute-1.amazonaws.com` | ||
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## Nginx | ||
location of nginx conf: `/etc/nginx/nginx.conf` | ||
be in `/home/ubuntu/MathSearch/ml-model/web` | ||
``` | ||
gunicorn -b 127.0.0.1:8080 api:app | ||
``` | ||
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## Backend Environment: | ||
- Option 1: `/opt/conda/bin` | ||
- Option 2: `/home/ubuntu/MathSearch/ml-model/venv/bin` | ||
- Option 3 (apply to SWE): packages all installed to default python, no need to activate any venv | ||
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## Access S3 | ||
To test connection, run below (notice the "-" on the second option). It should display directory in s3 buckets or cat the file. | ||
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option 1 | ||
``` | ||
aws s3 ls s3://mathsearch-intermediary | ||
``` | ||
option 2 | ||
``` | ||
aws s3 cp s3://mathsearch-intermediary/test.txt - | ||
``` |
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from werkzeug.utils import secure_filename | ||
from flask import Flask, flash, request, redirect, render_template | ||
import urllib.request | ||
import requests | ||
import os | ||
from flask import Flask | ||
import wget | ||
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UPLOAD_FOLDER = '/home/ubuntu/yolov5/input_data' | ||
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app = Flask(__name__) | ||
app.secret_key = "secret key" | ||
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER | ||
app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024 | ||
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@app.route('/') | ||
def hello_world(): | ||
return 'Warning: go to http://18.207.249.45/upload instead' | ||
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# https://www.cs.cornell.edu/~kozen/Papers/daa.pdf | ||
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@app.route('/pdf', methods=['GET', 'POST']) | ||
def download(): | ||
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# url = request.args.get('c') | ||
# wget.download(url,app.config['UPLOAD_FOLDER']+"/file.pdf") | ||
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# url = request.args.get('c') | ||
# print(url) | ||
# r = requests.get(url,allow_redirects=True) | ||
# print(r) | ||
# open(UPLOAD_FOLDER+"/file1.pdf","wb").write(r.content) | ||
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# with open(app.config['UPLOAD_FOLDER']+"/file1.pdf", "wb") as file: | ||
# response = requests.get(url) | ||
# file.write(response.content) | ||
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return "success" | ||
# return send_to_directory(app.config['UPLOAD_FOLDER'], link) | ||
# return send_file(link, as_attachment=True) | ||
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ALLOWED_EXTENSIONS = set(['pdf']) | ||
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def allowed_file(filename): | ||
return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS | ||
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@app.route('/upload') | ||
def upload_form(): | ||
return render_template('upload.html') | ||
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@app.route('/upload', methods=['POST']) | ||
def upload_file(): | ||
if request.method == 'POST': | ||
# check if the post request has the file part | ||
if 'file' not in request.files: | ||
flash('No file part') | ||
return redirect(request.url) | ||
file = request.files['file'] | ||
if file.filename == '': | ||
flash('No file selected for uploading') | ||
return redirect(request.url) | ||
if file and allowed_file(file.filename): | ||
filename = secure_filename(file.filename) | ||
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename)) | ||
flash('File successfully uploaded') | ||
return redirect('/') | ||
else: | ||
flash('Allowed file types are txt, pdf, png, jpg, jpeg, gif') | ||
return redirect(request.url) | ||
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if __name__ == "__main__": | ||
app.run() | ||
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# # from flask import Flask, render_template, request | ||
# # # from werkzeug import secure_filename | ||
# # from werkzeug.utils import secure_filename | ||
# # from werkzeug.datastructures import FileStorage | ||
# # app = Flask(__name__) | ||
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# # @app.route('/') | ||
# # def hello_world(): | ||
# # return 'Hello World! - emerald@mathsearch port:3000 temp:4' | ||
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# # @app.route('/upload') | ||
# # def upload_file(): | ||
# # return render_template('upload.html') | ||
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# # @app.route('/uploader', methods = ['GET', 'POST']) | ||
# # def uploadfile(): | ||
# # if request.method == 'POST': | ||
# # f = request.files['file'] | ||
# # f.save(secure_filename(f.filename)) | ||
# # return 'file uploaded successfully' | ||
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# # if __name__ == '__main__': | ||
# # app.debug = True | ||
# # app.run(host='0.0.0.0', port=8100) | ||
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# from flask import Flask, flash, redirect, url_for, request, render_template | ||
# from werkzeug.utils import secure_filename | ||
# import os | ||
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# """ | ||
# @Author: Emerald Liu | ||
# Does not support concurrency currently | ||
# """ | ||
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# # constant variables | ||
# UPLOAD_FOLDER = '/home/ubuntu/yolov5/input_data' | ||
# ALLOWED_EXTENSIONS = {'pdf'} | ||
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# # helper functions | ||
# def allowed_file(filename): | ||
# return '.' in filename and \ | ||
# filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS | ||
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# # initalize flask app config | ||
# app = Flask(__name__) | ||
# app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER | ||
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# # @app.route('/upload') | ||
# # def upload_file(): | ||
# # return render_template('upload.html') | ||
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# # @app.route('/upload', methods=['GET', 'POST']) | ||
# # def upload_file(): | ||
# # if request.method == 'POST': | ||
# # # check if the post request has the file part | ||
# # if 'file' not in request.files: | ||
# # flash('No file part') | ||
# # return redirect(request.url) | ||
# # file = request.files['file'] | ||
# # # If the user does not select a file, the browser submits an | ||
# # # empty file without a filename. | ||
# # if file.filename == '': | ||
# # flash('No selected file') | ||
# # return redirect(request.url) | ||
# # if file and allowed_file(file.filename): | ||
# # filename = secure_filename(file.filename) | ||
# # # file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename)) | ||
# # file.save(app.config['UPLOAD_FOLDER'], filename) | ||
# # return redirect(url_for('download_file', name=filename)) | ||
# # return ''' | ||
# # <!doctype html> | ||
# # <title>Upload new File</title> | ||
# # <h1>Upload new File</h1> | ||
# # <form method=post enctype=multipart/form-data> | ||
# # <input type=file name=file> | ||
# # <input type=submit value=Upload> | ||
# # </form> | ||
# # ''' | ||
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# if __name__ == '__main__': | ||
# app.debug = True | ||
# app.run(host='0.0.0.0', port=8100) | ||
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# import os | ||
# import urllib.request | ||
# # from app import app | ||
# from flask import Flask, flash, request, redirect, render_template | ||
# from werkzeug.utils import secure_filename | ||
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# ALLOWED_EXTENSIONS = set(['txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif']) | ||
# app = Flask(__name__) | ||
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# def allowed_file(filename): | ||
# return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS | ||
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# @app.route('/') | ||
# def upload_form(): | ||
# return render_template('upload.html') | ||
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# @app.route('/', methods=['POST']) | ||
# def upload_file(): | ||
# if request.method == 'POST': | ||
# # check if the post request has the file part | ||
# if 'file' not in request.files: | ||
# flash('No file part') | ||
# return redirect(request.url) | ||
# file = request.files['file'] | ||
# if file.filename == '': | ||
# flash('No file selected for uploading') | ||
# return redirect(request.url) | ||
# if file and allowed_file(file.filename): | ||
# filename = secure_filename(file.filename) | ||
# file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename)) | ||
# flash('File successfully uploaded') | ||
# return redirect('/') | ||
# else: | ||
# flash('Allowed file types are txt, pdf, png, jpg, jpeg, gif') | ||
# return redirect(request.url) | ||
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# if __name__ == '__main__': | ||
# app.debug = True | ||
# app.run(host='0.0.0.0', port=8100) |
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