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uptake
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autofocus
Deep learning computer vision for classifying wildlife in camera trap images
BSD 3-Clause "New" or "Revised" License
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fixing typos
#85
mfidino
closed
5 years ago
0
Update process_raw.py
#84
Manusreekumar
closed
5 years ago
0
Update README.md
#83
Manusreekumar
closed
5 years ago
0
Corrected the docstrings and added seasons extraction code
#82
Manusreekumar
closed
5 years ago
2
Corrected the documentation and added code for extracting seasons
#81
Manusreekumar
closed
5 years ago
1
Update README.md
#80
Manusreekumar
closed
5 years ago
0
get_raw.py and get_processed.py could just be AWSCLI commands
#79
gsganden
closed
5 years ago
1
Publish prediction service as a container on dockerhub
#78
gsganden
closed
5 years ago
0
Reorganize
#77
gsganden
closed
5 years ago
1
Note shift to reorganize branch
#76
gsganden
closed
5 years ago
0
Added check for Datetime in exif of images
#75
Manusreekumar
closed
5 years ago
5
Update README.md
#74
gsganden
closed
5 years ago
0
Error in preprocess_images.py if exif data for DateTime is not present for images
#73
Manusreekumar
closed
5 years ago
0
tests are broken
#72
jameslamb
closed
5 years ago
1
Add test coverage to CI
#71
jameslamb
closed
5 years ago
1
Add pycodestyle step on Travis
#70
jameslamb
closed
5 years ago
1
Add Travis CI badge
#69
jameslamb
closed
5 years ago
0
Organize issues into milestones
#68
jameslamb
opened
5 years ago
1
Extracting seasons from the images labels
#67
Manusreekumar
closed
5 years ago
0
Add JPG as a photo type
#66
mfidino
closed
5 years ago
1
Small bug fix in docs
#65
Chronocook
closed
5 years ago
3
Add download_images script and refactor some code
#64
parsing-science
closed
5 years ago
0
Windows CI not set up
#63
jameslamb
opened
5 years ago
0
Added Travis and Appveyor setup (fixes #1)
#62
jameslamb
closed
5 years ago
1
Investigate hierarchical classification methods and metrics
#61
gsganden
opened
5 years ago
0
Note data location and plans
#60
gsganden
closed
6 years ago
0
Address challenges raised by object of interest occupying a small part of the image
#59
gsganden
opened
6 years ago
0
Do more augmentations
#58
gsganden
opened
6 years ago
2
Make a CONTRIBUTING.md and/or PR checklist template
#57
gsganden
closed
5 years ago
0
Provide simple, clean notebook to help people get started working with the data
#56
smasis001
opened
6 years ago
5
fixed issue #44 - indent from 2 spaces to 4 in retrain.py
#55
GPSBach
closed
6 years ago
2
Added an exception block to check file type.
#54
VETURISRIRAM
closed
5 years ago
2
Update codeOfConduct.md
#53
terrywang15
closed
6 years ago
2
Added CONDUCT.md (fixes #3)
#52
smasis001
closed
6 years ago
1
Data not available
#51
gsganden
closed
5 years ago
0
Add labels to issues
#50
gsganden
closed
5 years ago
1
Look at clusters in feature space
#49
gsganden
opened
6 years ago
0
Support multitask learning
#48
gsganden
closed
5 years ago
0
Try off-the-shelf OpenCV pedestrian detector
#47
gsganden
opened
6 years ago
0
Try fastai library
#46
gsganden
closed
5 years ago
0
Wrote unit tests for utils.discard_duplicate_rows
#45
jayqi
closed
6 years ago
9
retrain.py follows Google convention of two-space indents whereas rest of repo uses four-space indents
#44
gsganden
closed
6 years ago
1
Build up image sizes
#43
gsganden
closed
5 years ago
0
Create centralized location for mlflow logs
#42
gsganden
closed
5 years ago
1
Support using LIME (or similar) to see to what extent the model is paying attention to animals vs. other cues such as night/day and the background.
#41
gsganden
opened
6 years ago
0
Try converting convolutional kernels of pretrained network to grayscale and applying to night images
#40
gsganden
opened
6 years ago
0
Try pretraining on Zamba dataset
#39
gsganden
opened
6 years ago
0
Identify potential animals and crop to them before applying classifier
#38
gsganden
opened
6 years ago
2
Extract features from empty images and treat presence of animals as an anomaly detection problem
#37
gsganden
opened
6 years ago
4
Incorporate a background subtraction step
#36
gsganden
opened
6 years ago
1
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