issues
search
NotJoeMartinez
/
APDL_Quality_Control
Computer Vision Quality control for the Advanced Particle Detector Laboratory at Texas Tech University
0
stars
1
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Automate parsing out stretched images from dataset
#39
NotJoeMartinez
opened
2 years ago
0
Convert Model Reports to PDF.
#38
NotJoeMartinez
closed
2 years ago
1
Data Augmentation Prevent Duplicate Transformations.
#37
NotJoeMartinez
closed
2 years ago
1
Abstract Agumentation scripts
#36
NotJoeMartinez
closed
2 years ago
1
Data set with new classifications for broken wires and cropping
#35
NotJoeMartinez
closed
2 years ago
1
Screen tearing on augmentation script
#34
NotJoeMartinez
closed
2 years ago
1
Model Cascade
#33
NotJoeMartinez
opened
3 years ago
0
Integrate activation maps into model preformace reports
#32
NotJoeMartinez
opened
3 years ago
0
Instead of overwriting the model report just make a new model report with a prepended number or something
#31
NotJoeMartinez
closed
2 years ago
1
Make the augmentation script less clunky
#30
NotJoeMartinez
closed
3 years ago
1
Write script to convert label studio json to csv
#29
NotJoeMartinez
closed
3 years ago
1
Train the model on images without void space in corners
#28
NotJoeMartinez
closed
2 years ago
1
ValueError: `decode_predictions` expects a batch of predictions (i.e. a 2D array of shape (samples, 1000)). Found array with shape: (1, 7)
#27
NotJoeMartinez
closed
3 years ago
2
activation maps
#26
NotJoeMartinez
closed
3 years ago
2
Make overwriting model reports optional or non destructive
#25
NotJoeMartinez
closed
3 years ago
1
Add testing augmentation to `augment_imgs.py`
#24
NotJoeMartinez
closed
2 years ago
1
Custom model path as argument to `test_model.py`
#23
NotJoeMartinez
closed
3 years ago
1
Jorden_net Only predicting no wires
#22
NotJoeMartinez
closed
3 years ago
2
Make input shape dynamic
#21
NotJoeMartinez
closed
3 years ago
1
ValueError: Negative dimension size caused by subtracting 3 from 1
#20
NotJoeMartinez
closed
3 years ago
1
Add Softmax layer to prediction model
#19
NotJoeMartinez
closed
3 years ago
1
Fix reporting system on different dataset directory structure
#18
NotJoeMartinez
closed
3 years ago
1
Automate model reporting system
#17
NotJoeMartinez
closed
3 years ago
1
`augment_imgs.py` ValueError: Can not convert from object to uint8.
#16
NotJoeMartinez
closed
3 years ago
1
Make confusion matrix using testing data.
#15
NotJoeMartinez
closed
3 years ago
1
Write some documentation
#14
NotJoeMartinez
closed
3 years ago
1
Reconstruct the teachable machine model
#13
NotJoeMartinez
closed
3 years ago
1
Update preprocessing for new model
#12
NotJoeMartinez
closed
3 years ago
1
Integrate model you trained using trainable machine
#11
NotJoeMartinez
closed
3 years ago
0
Import `separate_images.py` into `augment_images.py` so you don't get confused and mess up your datasets.
#10
NotJoeMartinez
closed
3 years ago
1
Make data augmentation script work on whole directory
#9
NotJoeMartinez
closed
3 years ago
1
Update `test_method.py` to work with the new system you implemented on issue #6
#8
NotJoeMartinez
closed
3 years ago
2
Make something that measures the effectiveness of your models.
#7
NotJoeMartinez
closed
3 years ago
1
Augment and separate training dataset from testing dataset
#6
NotJoeMartinez
closed
3 years ago
0
False Positives
#5
NotJoeMartinez
closed
3 years ago
1
Train "broken wire" model against fully augmented dataset
#4
NotJoeMartinez
closed
3 years ago
0
Set a default max output fo img_augmentation.py
#3
NotJoeMartinez
closed
3 years ago
1
Save the model after training
#2
NotJoeMartinez
closed
3 years ago
1
Augment images makes new images a directory above specified folder
#1
NotJoeMartinez
closed
3 years ago
1