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LitData Refactor PR1: Get individual functions for data pipelines #81
LitData Refactor PR1: Get individual functions for data pipelines #81
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## divya/compute-crop-sizes #81 +/- ##
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+ Coverage 97.75% 97.78% +0.02%
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Files 35 35
Lines 3167 3289 +122
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+ Hits 3096 3216 +120
- Misses 71 73 +2 ☔ View full report in Codecov by Sentry. |
…ps pipeline (#79) * Add option to automatically compute crop size * Move find_crop_size to Trainer * Fix skeleton name * Add crop size to config * Add resumable training option * Add tests fore resuming training * Fix tests * Fix test for wandb folder * LitData Refactor PR1: Get individual functions for data pipelines (#81) * Add functions for data pipelines * Add test cases * Format file * Add more test cases * Fix augmentation test
* Refactor preprocessing config * Merge train and val data configs * Remove pipeline name * Modify backbone_config * Modify ckpts * Fix inference tests * Fix device for inference * Fix scale in inference * Fix Predictor * Modify `bottom_up` to `bottomup` * Fix bottomup inference * Fix scale in augmentation * Add tracker * Fix tracker queue * Add local queues * Modify local queues\ * Add features * Add optical flow * Add Optical flow * Add tracking score * Refactor candidate update * Integrate with Predictors * Fix lint * Fix tracks * Resume training and automatically compute crop size for TopDownConfmaps pipeline (#79) * Add option to automatically compute crop size * Move find_crop_size to Trainer * Fix skeleton name * Add crop size to config * Add resumable training option * Add tests fore resuming training * Fix tests * Fix test for wandb folder * LitData Refactor PR1: Get individual functions for data pipelines (#81) * Add functions for data pipelines * Add test cases * Format file * Add more test cases * Fix augmentation test
* Fix topdown aug * Implement tracker module (#70) * Refactor preprocessing config * Merge train and val data configs * Remove pipeline name * Modify backbone_config * Modify ckpts * Fix inference tests * Fix device for inference * Fix scale in inference * Fix Predictor * Modify `bottom_up` to `bottomup` * Fix bottomup inference * Fix scale in augmentation * Add tracker * Fix tracker queue * Add local queues * Modify local queues\ * Add features * Add optical flow * Add Optical flow * Add tracking score * Refactor candidate update * Integrate with Predictors * Fix lint * Fix tracks * Resume training and automatically compute crop size for TopDownConfmaps pipeline (#79) * Add option to automatically compute crop size * Move find_crop_size to Trainer * Fix skeleton name * Add crop size to config * Add resumable training option * Add tests fore resuming training * Fix tests * Fix test for wandb folder * LitData Refactor PR1: Get individual functions for data pipelines (#81) * Add functions for data pipelines * Add test cases * Format file * Add more test cases * Fix augmentation test
…erpolation (#73) * Refactor Augmentation config * Modify ckpts * Refactor pipeline config (#68) * Refactor preprocessing config * Merge train and val data configs * Remove pipeline name * Modify backbone_config * Modify ckpts * Fix inference tests * Fix device for inference * Fix scale in inference * Fix Predictor * Modify `bottom_up` to `bottomup` * Fix bottomup inference * Fix scale in augmentation * changed parameters * Remove `image` key from TopDownConfmaps pipeline (#71) * Refactor preprocessing config * Merge train and val data configs * Remove pipeline name * Modify backbone_config * Modify ckpts * Fix inference tests * Fix device for inference * Fix scale in inference * Fix Predictor * Modify `bottom_up` to `bottomup` * Fix bottomup inference * Fix scale in augmentation * Test remove image * Fix instance cropping * Fix tests * Remove scale in pipelines * adjusting the bottomup params * Fix paf grouping * Fix test * Add interpolate function * Fix tests * Fix augmentation in TopdownConfmaps pipeline (#78) * Fix topdown aug * Implement tracker module (#70) * Refactor preprocessing config * Merge train and val data configs * Remove pipeline name * Modify backbone_config * Modify ckpts * Fix inference tests * Fix device for inference * Fix scale in inference * Fix Predictor * Modify `bottom_up` to `bottomup` * Fix bottomup inference * Fix scale in augmentation * Add tracker * Fix tracker queue * Add local queues * Modify local queues\ * Add features * Add optical flow * Add Optical flow * Add tracking score * Refactor candidate update * Integrate with Predictors * Fix lint * Fix tracks * Resume training and automatically compute crop size for TopDownConfmaps pipeline (#79) * Add option to automatically compute crop size * Move find_crop_size to Trainer * Fix skeleton name * Add crop size to config * Add resumable training option * Add tests fore resuming training * Fix tests * Fix test for wandb folder * LitData Refactor PR1: Get individual functions for data pipelines (#81) * Add functions for data pipelines * Add test cases * Format file * Add more test cases * Fix augmentation test * Revert merging "Fix augmentation in TopdownConfmaps pipeline (#78)" This reverts commit 9d65cc7. --------- Co-authored-by: gitttt-1234 <divyasesh11@gmail.com> Co-authored-by: DivyaSesh <64513125+gitttt-1234@users.noreply.github.com> Co-authored-by: grquach <101067674+grquach@users.noreply.github.com>
This is the first PR for #80. Here, we breakdown the operations in
__iter__()
of all data processing modules into individual functions that would be useful for implementing theget_chunks()
(second PR for #80 ).