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Angione-Lab
/
Shape2Force
like
1
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Angione Lab - Systems Biology and Deep Learning research group at Teesside University
5
PyTorch
biology
microscopy
traction-force
pix2pix
gan
License:
mit
Model card
Files
Files and versions
xet
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6727da5
Shape2Force
/
S2FApp
77.5 MB
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3 contributors
History:
61 commits
kaveh
Implemented batch processing for predictions to optimize memory usage and added progress tracking. Updated constants for batch inference size and adjusted contour drawing parameters for better visibility in UI elements.
6727da5
2 months ago
.streamlit
updated UI
2 months ago
ckp
added
3 months ago
config
Implemented batch processing for predictions to optimize memory usage and added progress tracking. Updated constants for batch inference size and adjusted contour drawing parameters for better visibility in UI elements.
2 months ago
models
added spheroid model
3 months ago
res
updated screenshot
2 months ago
samples
removed one spheroid sample to save space
3 months ago
static
Implemented batch processing for predictions to optimize memory usage and added progress tracking. Updated constants for batch inference size and adjusted contour drawing parameters for better visibility in UI elements.
2 months ago
ui
Implemented batch processing for predictions to optimize memory usage and added progress tracking. Updated constants for batch inference size and adjusted contour drawing parameters for better visibility in UI elements.
2 months ago
utils
Implemented batch processing for predictions to optimize memory usage and added progress tracking. Updated constants for batch inference size and adjusted contour drawing parameters for better visibility in UI elements.
2 months ago
.dockerignore
Safe
69 Bytes
added
3 months ago
.gitattributes
Safe
85 Bytes
added
3 months ago
.gitignore
Safe
60 Bytes
updated UI
2 months ago
Dockerfile
Safe
2 kB
fixed docker numpy issue
2 months ago
README.md
Safe
1.08 kB
updated
3 months ago
app.py
23.7 kB
Implemented batch processing for predictions to optimize memory usage and added progress tracking. Updated constants for batch inference size and adjusted contour drawing parameters for better visibility in UI elements.
2 months ago
download_ckp.py
Safe
1.21 kB
modified links for Angione-Lab
3 months ago
predictor.py
Safe
10.7 kB
Implemented batch processing for predictions to optimize memory usage and added progress tracking. Updated constants for batch inference size and adjusted contour drawing parameters for better visibility in UI elements.
2 months ago
requirements-docker.txt
Safe
413 Bytes
scikit-image compatibility fix
2 months ago
requirements.txt
Safe
294 Bytes
added small UI status pane for computational resources monitoring
3 months ago