Commits · 93ba8a91089e881f3286f9fd1cff0a794f2662d4 · Lucas Miranda / deepOF

07 Oct, 2020 1 commit
- Included train_utils.py in coverage report · 93ba8a91
  lucas_miranda authored Oct 07, 2020
  
  93ba8a91
06 Oct, 2020 1 commit
- Fixed bug on model_training.py · e656526f
  lucas_miranda authored Oct 06, 2020
  
  e656526f
05 Oct, 2020 1 commit
- Updated hypermodel definition! · c0ff195f
  lucas_miranda authored Oct 06, 2020
  
  c0ff195f
04 Oct, 2020 1 commit
- Updated examples.model_training to work with the latest version of the package · 6bb45cd9
  lucas_miranda authored Oct 04, 2020
  
  6bb45cd9
03 Oct, 2020 1 commit
- added inplace alignment on deepof.data.coordinates.get_coords() on data.py · 7b8696ea
  lucas_miranda authored Oct 03, 2020
  
  7b8696ea
29 Sep, 2020 2 commits
- Added video generation options to rule_based_annotation · be362675
  lucas_miranda authored Sep 29, 2020
  
  be362675
- Added draft of rule_based_annotation function in preprocess.py · 0c80a6ad
  lucas_miranda authored Sep 29, 2020
  
  0c80a6ad
28 Sep, 2020 3 commits
- Refactored pose_utils.py · 39e47b52
  lucas_miranda authored Sep 29, 2020
  
  39e47b52
- Refactored pose_utils.py · 2dcf48fe
  lucas_miranda authored Sep 29, 2020
  
  2dcf48fe
- Refactored pose_utils.py · 7d4d6edd
  lucas_miranda authored Sep 29, 2020
  
  7d4d6edd
19 Sep, 2020 1 commit
- Excluded debug regions from coverage report - added code climate template to .gitlab-ci.yml · 3379ec5e
  lucas_miranda authored Sep 19, 2020
  
  3379ec5e
18 Sep, 2020 4 commits
- Added tests for models.py · b7b7beec
  lucas_miranda authored Sep 19, 2020
  
  b7b7beec
- Added tests for model_utils.py and models.py · 37e1f812
  lucas_miranda authored Sep 19, 2020
  
  37e1f812
- Added tests for model_utils.py · cae7ee68
  lucas_miranda authored Sep 18, 2020
  
  cae7ee68
- Added tests for KLDivergence and MMDiscrepancy layers · 27b68380
  lucas_miranda authored Sep 18, 2020
  
  27b68380
17 Sep, 2020 2 commits
- Reformatted files · 04541053
  lucas_miranda authored Sep 17, 2020
  
  04541053
- Added header docstrings to all modules · 15b9eb4d
  lucas_miranda authored Sep 17, 2020
  
  15b9eb4d
04 Sep, 2020 1 commit
- renamed package folder from 'source' to 'deepof' · 595b4b43
  lucas_miranda authored Sep 04, 2020
  
  595b4b43
03 Aug, 2020 3 commits
- Removed non variational autoencoder · 3fc436dc
  lucas_miranda authored Aug 03, 2020
  
  3fc436dc
- Removed non variational autoencoder · e9f1e213
  lucas_miranda authored Aug 03, 2020
  
  e9f1e213
- Updated preprocessing alignment; now all frames all treated equally regardless... · 9914123a
  lucas_miranda authored Aug 03, 2020
```
Updated preprocessing alignment; now all frames all treated equally regardless their position in the sliding window
```
  9914123a
31 Jul, 2020 10 commits
- Updated preprocess method in preprocess.py; now the test/train split works... · 696eab02
  lucas_miranda authored Jul 31, 2020
```
Updated preprocess method in preprocess.py; now the test/train split works separating independent videos
```
  696eab02
- Updated preprocess method in preprocess.py; now the test/train split works... · 1156c338
  lucas_miranda authored Jul 31, 2020
```
Updated preprocess method in preprocess.py; now the test/train split works separating independent videos
```
  1156c338
- Updated preprocess method in preprocess.py; now the test/train split works... · e51a08ac
  lucas_miranda authored Jul 31, 2020
```
Updated preprocess method in preprocess.py; now the test/train split works separating independent videos
```
  e51a08ac
- Minimise entropy to see if overal confidence increases in a reproducible way · bcc7b9e5
  lucas_miranda authored Jul 31, 2020
  
  bcc7b9e5
- Minimise entropy to see if overal confidence increases in a reproducible way · 5ea727d0
  lucas_miranda authored Jul 31, 2020
  
  5ea727d0
- Minimise entropy to see if overal confidence increases in a reproducible way · 3dbb5a62
  lucas_miranda authored Jul 31, 2020
  
  3dbb5a62
- Minimise entropy to see if overal confidence increases in a reproducible way · 826aa9bf
  lucas_miranda authored Jul 31, 2020
  
  826aa9bf
- Minimise entropy to see if overal confidence increases in a reproducible way · 206a376d
  lucas_miranda authored Jul 31, 2020
  
  206a376d
- Minimise entropy to see if overal confidence increases in a reproducible way · d96c8c4c
  lucas_miranda authored Jul 31, 2020
  
  d96c8c4c
- Minimise entropy to see if overal confidence increases in a reproducible way · 9b9a9f3c
  lucas_miranda authored Jul 31, 2020
  
  9b9a9f3c
29 Jul, 2020 1 commit
- Added a MonteCarlo dropout layer before clustering for prediction uncertainty measurement · 74a67e93
  lucas_miranda authored Jul 29, 2020
  
  74a67e93
28 Jul, 2020 2 commits
- Enhanced performance with tf.function decorators · 09bd026d
  lucas_miranda authored Jul 28, 2020
  
  09bd026d
- Enhanced performance with tf.function decorators · 7663405d
  lucas_miranda authored Jul 28, 2020
  
  7663405d
24 Jul, 2020 2 commits
- Implemented 1 cycle learning rate schedule · f7468519
  lucas_miranda authored Jul 24, 2020
  
  f7468519
- Implemented Montecarlo Dropout custom layer · a3d522a2
  lucas_miranda authored Jul 24, 2020
  
  a3d522a2
23 Jul, 2020 4 commits
- Implemented Montecarlo Dropout custom layer · 7d1ad0b5
  lucas_miranda authored Jul 24, 2020
  
  7d1ad0b5
- Implemented Montecarlo Dropout custom layer · ff384739
  lucas_miranda authored Jul 24, 2020
  
  ff384739
- Implemented Montecarlo Dropout custom layer · f89cc3ff
  lucas_miranda authored Jul 23, 2020
  
  f89cc3ff
- Implemented Montecarlo Dropout custom layer · 49351e0f
  lucas_miranda authored Jul 23, 2020
  
  49351e0f