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Dean
Successfully configured the dataloader and trained for one epoch. Results are not so good, but it's something. Still the Fastaiv1 looked better qualitatively
13f0309
process_data: | |
cmd: python3 src/code/make_dataset.py src/data/raw/nyu_depth_v2_labeled.mat src/data/raw/splits.mat | |
src/data/processed | |
deps: | |
- path: src/code/make_dataset.py | |
md5: 726bf2bed948f73c5c342a96d017539e | |
- path: src/data/raw/nyu_depth_v2_labeled.mat | |
md5: 520609c519fba3ba5ac58c8fefcc3530 | |
- path: src/data/raw/splits.mat | |
md5: 08e3c3aea27130ac7c01ffd739a4535f | |
outs: | |
- path: src/data/processed/ | |
md5: 77adb8603dbf31f3b272e0f51b6c2c29.dir | |
train: | |
cmd: python3 src/code/training.py src/data/processed | |
deps: | |
- path: src/code/training.py | |
md5: 1d5f2b07b208bf062526e5ebfddca043 | |
- path: src/data/processed/ | |
md5: 77adb8603dbf31f3b272e0f51b6c2c29.dir | |
outs: | |
- path: src/models/ | |
md5: e6f3667c5e3ff28faaf9172adab28107.dir | |