mlip-bigaituna's People
mlip-bigaituna's Issues
Write script to create validation set
Split train data into validation set. Maybe 20% (stratified). Save split to Data/validation or something.
Write submission script
Generate submission csv given a model
Implement YOLO
Smarter bounding box extraction from segmentation
See here for our current approach.
A more sophisticated method may:
- use blobbiness or another shape
- extract multiple boxes
Bounding box via Fully Convolutional Networks
Check out the code of winners of similar competitions
Plotting bounding boxes
Add Github bot to Slack
Training bounding boxes
Bounding box via regular CNN
Loss:
- MSE
- Softmax
- IoU/DICE
Convnet training
Bounding box merging
Implement Fast(er)-RCNN
Try different optimizers
Report scores here
Discuss keras version
Try larger convnet for predicting entire image
E.g., VGG16
Test convnet with pretrained features
Try VGGNet16 with imagenet features.
Bounding boxes with Unet
Read paper on how to rank 10% in kaggle
Improve fish/no fish classification
Check the top kernels of the competition
Improve data augmentation pipeline
Downloaden en doorkijken data
Color normalization
Prepare flashtalk for wednesday March 15
Bring laptop to next meeting
This is in order to install everything for everyone correctly
Implement preprocessing pipeline
Implement a generator which generates batches of a given size.
Ideally, this is done on another thread while the GPU is using the previous batch.
The images need to be:
- scaled to [0, 1].
- color pertubations (this may be useful https://groups.google.com/forum/#!topic/lasagne-users/meCDNeA9Ud4)
- rotated a bit
- translated a bit
- zoomed a bit
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