savtadepth / dvc.lock
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
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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