cwerner
/
deadtrees
connected to https://github.com/cwerner/deadtrees.git


  
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            schema: '2.0'
stages:
  createtiles@2019:
    cmd: mkdir -p data/processed.images.2019; gdal_retile.py  -csv locations.csv  -v
      -ps 2048 2048 -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2" -co "ALPHA=NO"
      -co "NUM_THREADS=ALL_CPUS" -targetDir data/processed.images.2019  data/raw/ortho_ms_2019_EPSG3044.tif
    deps:
    - path: data/raw/ortho_ms_2019_EPSG3044.tif
      md5: 28a27ea53b559c3cec937a3687407557
      size: 144920418531
    params:
      params.yaml:
        source_dim: 2048
    outs:
    - path: data/processed.images.2019
      md5: 35c31b781cb0bdb19650329132d83d05.dir
      size: 144926802415
      nfiles: 30489
  createmasks:
    cmd: python scripts/createmasks.py  data/processed.images.2019  data/processed.masks.2019  data/raw/shapefiles/deadtrees_2019/deadtrees_2019.shp
      --negativesample data/raw/shapefiles/deadtrees_notdead/deadtrees_notdead.shp
    deps:
    - path: data/processed.images.2019
      md5: 35c31b781cb0bdb19650329132d83d05.dir
      size: 144926802415
      nfiles: 30489
    - path: data/raw/shapefiles/deadtrees_2019
      md5: 206432f450611c44ceb32c49e50aa8c9.dir
      size: 3996517
      nfiles: 5
    - path: data/raw/shapefiles/deadtrees_notdead
      md5: 99b6d382aebfc46e79c9d044e95add4e.dir
      size: 31722
      nfiles: 5
    outs:
    - path: data/processed.masks.2019
      md5: 86dfe9fff1765527e6ab7bdbd50e873d.dir
      size: 4103103156
      nfiles: 978
    - path: data/processed.masks.2019.neg_sample
      md5: e39614f069603f65a333d0a8713072a9.dir
      size: 335615520
      nfiles: 80
  createdataset:
    cmd: python scripts/createdataset.py  data/processed.images.2019  data/processed.masks.2019  data/dataset  --source_dim
      2048 --tile_size 256 --format TIFF
    deps:
    - path: data/processed.images.2019
      md5: 35c31b781cb0bdb19650329132d83d05.dir
      size: 144926802415
      nfiles: 30489
    - path: data/processed.masks.2019
      md5: 86dfe9fff1765527e6ab7bdbd50e873d.dir
      size: 4103103156
      nfiles: 978
    - path: data/processed.masks.2019.neg_sample
      md5: e39614f069603f65a333d0a8713072a9.dir
      size: 335615520
      nfiles: 80
    params:
      params.yaml:
        createdataset.tile_size: 256
        file_type: TIFF
        source_dim: 2048
    outs:
    - path: data/dataset/stats.csv
      md5: 5d5e6ab2648bdb6b7846d4c8655a72a8
      size: 2539255
    - path: data/dataset/train
      md5: 09daf34f435e8a47ce8879a6f7a9899e.dir
      size: 10832783360
      nfiles: 208
  createbalanced:
    cmd: python scripts/createbalanced.py  data/dataset/stats.csv data/dataset/train  data/dataset/train_balanced  data/dataset/train_balanced_short
      --format TIFF --tmp-dir ./tmp
    deps:
    - path: data/dataset/stats.csv
      md5: 8f24c9c9fcbcab4f9388a4b2b26ed58c
      size: 2415683
    - path: data/dataset/train
      md5: a5a9bd6897f3c8b0143e3a378928cc54.dir
      size: 20627302400
      nfiles: 121
    params:
      params.yaml:
        file_type: TIFF
    outs:
    - path: data/dataset/train_balanced
      md5: 00c0e3636b55b92b63add488a2e62a12.dir
      size: 20596592640
      nfiles: 241
    - path: data/dataset/train_balanced_short
      md5: 94e764aa3326c386524910bfbac0454d.dir
      size: 2072975360
      nfiles: 97
  createtiles@2017:
    cmd: mkdir -p data/processed.images.2017; gdal_retile.py  -csv locations.csv  -v
      -ps 2048 2048 -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2" -co "ALPHA=NO"
      -co "NUM_THREADS=ALL_CPUS" -targetDir data/processed.images.2017  data/raw/ortho_ms_2017_EPSG3044.tif
    deps:
    - path: data/raw/ortho_ms_2017_EPSG3044.tif
      md5: 2389bdb4952d2c869c52e87abce30d4f
      size: 109896357004
    params:
      params.yaml:
        source_dim: 2048
    outs:
    - path: data/processed.images.2017
      md5: 66de96d201af5a47a09997691b992370.dir
      size: 109902740888
      nfiles: 30489
  inference@2017:
    cmd: mkdir -p data/predicted.2017; stdbuf -i0 -o0 -e0  python scripts/inference.py
      --all --nopreview -o data/predicted.2017 data/processed.images.2017  -m checkpoints/earnest-dew-216_epoch_235.ckpt  -m
      checkpoints/fine-lake-207_epoch_279.ckpt -m checkpoints/sage-glitter-214_epoch_106.ckpt;
      gdal_merge.py  -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2" -co "NUM_THREADS=ALL_CPUS"
      -o data/predicted_mosaic_2017.tif  data/predicted.2017/ortho_ms_2017_EPSG3044_*
    deps:
    - path: checkpoints/earnest-dew-216_epoch_235.ckpt
      md5: 9ee3273773fb824722c7438d6e6bb994
      size: 378642436
    - path: checkpoints/fine-lake-207_epoch_279.ckpt
      md5: 68d739c35961b1d218f931f673d57b8b
      size: 378644356
    - path: checkpoints/sage-glitter-214_epoch_106.ckpt
      md5: d69b30981b4f43333d9adc802e09c67d
      size: 378642436
    - path: data/processed.images.2017
      md5: 66de96d201af5a47a09997691b992370.dir
      size: 109902740888
      nfiles: 30489
    outs:
    - path: data/predicted.2017
      md5: d121ec6b99c1c20ad9c8d8c5a79f2717.dir
      size: 590920267
      nfiles: 20827
    - path: data/predicted_mosaic_2017.tif
      md5: e8123ba2b1c70b76bf547cbd07c65cc4
      size: 827137067
  inference@2019:
    cmd: mkdir -p data/predicted.2019; stdbuf -i0 -o0 -e0  python scripts/inference.py
      --all --nopreview -o data/predicted.2019 data/processed.images.2019  -m checkpoints/earnest-dew-216_epoch_235.ckpt  -m
      checkpoints/fine-lake-207_epoch_279.ckpt -m checkpoints/sage-glitter-214_epoch_106.ckpt;
      gdal_merge.py  -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2" -co "NUM_THREADS=ALL_CPUS"
      -o data/predicted_mosaic_2019.tif  data/predicted.2019/ortho_ms_2019_EPSG3044_*
    deps:
    - path: checkpoints/earnest-dew-216_epoch_235.ckpt
      md5: 9ee3273773fb824722c7438d6e6bb994
      size: 378642436
    - path: checkpoints/fine-lake-207_epoch_279.ckpt
      md5: 68d739c35961b1d218f931f673d57b8b
      size: 378644356
    - path: checkpoints/sage-glitter-214_epoch_106.ckpt
      md5: d69b30981b4f43333d9adc802e09c67d
      size: 378642436
    - path: data/processed.images.2019
      md5: 35c31b781cb0bdb19650329132d83d05.dir
      size: 144926802415
      nfiles: 30489
    outs:
    - path: data/predicted.2019
      md5: 59ded5bebfabb2fbdc933cc6a058c79c.dir
      size: 472154703
      nfiles: 16227
    - path: data/predicted_mosaic_2019.tif
      md5: 66c45c751409f6916e6652ee4e028fce
      size: 797539107
  computestats:
    cmd: 'python scripts/computestats.py --frac 0.1 data/processed.images.2017   data/processed.images.2018   data/processed.images.2019  data/processed.images.2020 '
    deps:
    - path: data/processed.images.2017
      md5: 66de96d201af5a47a09997691b992370.dir
      size: 109902740888
      nfiles: 30489
    - path: data/processed.images.2018
      md5: cfa0adee6401f838f162a0510085becf.dir
      size: 144861203951
      nfiles: 30489
    - path: data/processed.images.2019
      md5: 35c31b781cb0bdb19650329132d83d05.dir
      size: 144926802415
      nfiles: 30489
    - path: data/processed.images.2020
      md5: 76d4daf0d9e69904a9370a0c74006d17.dir
      size: 163333629599
      nfiles: 30489
    outs:
    - path: data/processed.images.stats.json
      md5: 1ed04cbf29c00ed439bfa15bc170c5cb
  computestatsinference:
    cmd: 'python scripts/computestats_inference.py data/predicted.2017   data/predicted.2018   data/predicted.2019  data/predicted.2020  '
    deps:
    - path: data/predicted.2017
      md5: 6991e5e7cf8144ff46445ef25214fce6.dir
      size: 601515230
      nfiles: 20827
    - path: data/predicted.2018
      md5: 6dc4d6140a683a68243cd01d5d733001.dir
      size: 551422735
      nfiles: 19182
    - path: data/predicted.2019
      md5: 88d9fe4afe7054d15e5014b9743d87c9.dir
      size: 484982007
      nfiles: 16227
    - path: data/predicted.2020
      md5: ca8bf8b4c611989f5c962b07dee85344.dir
      size: 489635809
      nfiles: 16125
    outs:
    - path: data/predicted.stats.csv
      md5: 1b921ebb714f7234afd0d8b63f59a8d7
      size: 1916604
  createtiles@2018:
    cmd: mkdir -p data/processed.images.2018; gdal_retile.py  -csv locations.csv  -v
      -ps 2048 2048 -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2" -co "ALPHA=NO"
      -co "NUM_THREADS=ALL_CPUS" -targetDir data/processed.images.2018  data/raw/ortho_ms_2018_EPSG3044.tif
    deps:
    - path: data/raw/ortho_ms_2018_EPSG3044.tif
      md5: 59fc13ae47105e690ecc396202c2bc30
      size: 144854820067
    params:
      params.yaml:
        source_dim: 2048
    outs:
    - path: data/processed.images.2018
      md5: cfa0adee6401f838f162a0510085becf.dir
      size: 144861203951
      nfiles: 30489
  createtiles@2020:
    cmd: mkdir -p data/processed.images.2020; gdal_retile.py  -csv locations.csv  -v
      -ps 2048 2048 -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2" -co "ALPHA=NO"
      -co "NUM_THREADS=ALL_CPUS" -targetDir data/processed.images.2020  data/raw/ortho_ms_2020_EPSG3044.tif
    deps:
    - path: data/raw/ortho_ms_2020_EPSG3044.tif
      md5: 0ecdb70decb68b2d37446b21977d09f9
      size: 163327245715
    params:
      params.yaml:
        source_dim: 2048
    outs:
    - path: data/processed.images.2020
      md5: 76d4daf0d9e69904a9370a0c74006d17.dir
      size: 163333629599
      nfiles: 30489
  inference@2018:
    cmd: mkdir -p data/predicted.2018; stdbuf -i0 -o0 -e0  python scripts/inference.py
      --all --nopreview -o data/predicted.2018 data/processed.images.2018  -m checkpoints/earnest-dew-216_epoch_235.ckpt  -m
      checkpoints/fine-lake-207_epoch_279.ckpt -m checkpoints/sage-glitter-214_epoch_106.ckpt;
      gdal_merge.py  -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2" -co "NUM_THREADS=ALL_CPUS"
      -o data/predicted_mosaic_2018.tif  data/predicted.2018/ortho_ms_2018_EPSG3044_*
    deps:
    - path: checkpoints/earnest-dew-216_epoch_235.ckpt
      md5: 9ee3273773fb824722c7438d6e6bb994
      size: 378642436
    - path: checkpoints/fine-lake-207_epoch_279.ckpt
      md5: 68d739c35961b1d218f931f673d57b8b
      size: 378644356
    - path: checkpoints/sage-glitter-214_epoch_106.ckpt
      md5: d69b30981b4f43333d9adc802e09c67d
      size: 378642436
    - path: data/processed.images.2018
      md5: cfa0adee6401f838f162a0510085becf.dir
      size: 144861203951
      nfiles: 30489
    outs:
    - path: data/predicted.2018
      md5: 5dea00cb9a4b6987d2dd0966abaf14cd.dir
      size: 545737314
      nfiles: 19182
    - path: data/predicted_mosaic_2018.tif
      md5: 165d623d21d5e47a4eaf8f2f5e45fd27
      size: 824301626
  inference@2020:
    cmd: mkdir -p data/predicted.2020; stdbuf -i0 -o0 -e0  python scripts/inference.py
      --all --nopreview -o data/predicted.2020 data/processed.images.2020  -m checkpoints/earnest-dew-216_epoch_235.ckpt  -m
      checkpoints/fine-lake-207_epoch_279.ckpt -m checkpoints/sage-glitter-214_epoch_106.ckpt;
      gdal_merge.py  -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2" -co "NUM_THREADS=ALL_CPUS"
      -o data/predicted_mosaic_2020.tif  data/predicted.2020/ortho_ms_2020_EPSG3044_*
    deps:
    - path: checkpoints/earnest-dew-216_epoch_235.ckpt
      md5: 9ee3273773fb824722c7438d6e6bb994
      size: 378642436
    - path: checkpoints/fine-lake-207_epoch_279.ckpt
      md5: 68d739c35961b1d218f931f673d57b8b
      size: 378644356
    - path: checkpoints/sage-glitter-214_epoch_106.ckpt
      md5: d69b30981b4f43333d9adc802e09c67d
      size: 378642436
    - path: data/processed.images.2020
      md5: 76d4daf0d9e69904a9370a0c74006d17.dir
      size: 163333629599
      nfiles: 30489
    outs:
    - path: data/predicted.2020
      md5: ee17adb78816e89fc3f699927ca0ac0e.dir
      size: 478573657
      nfiles: 16125
    - path: data/predicted_mosaic_2020.tif
      md5: 49988d362425fe43c496ecc75d4611ef
      size: 799740259
  createmasks@2017:
    cmd: python scripts/createmasks.py  data/processed.images.2017  data/processed.masks.2017  data/raw/shapefiles/deadtrees_2017/deadtrees_2017.shp
    deps:
    - path: data/processed.images.2017
      md5: 66de96d201af5a47a09997691b992370.dir
      size: 109902740888
      nfiles: 30489
    - path: data/raw/shapefiles/deadtrees_2017
      md5: 8d9432d5827254797ae04f89ec30aae1.dir
      size: 811993
      nfiles: 6
    outs:
    - path: data/processed.masks.2017
      md5: ed46f628af2e934ce245fef7bb707d02.dir
      size: 3633218132
      nfiles: 866
  createdataset@2017:
    cmd: python scripts/createdataset.py  data/processed.images.2017  data/processed.masks.2017  data/processed.lus.2017  data/dataset  --subdir
      train_2017 --source_dim 2048 --tile_size 256 --format TIFF --stats stats_2017.csv
    deps:
    - path: data/processed.images.2017
      md5: 66de96d201af5a47a09997691b992370.dir
      size: 109902740888
      nfiles: 30489
    - path: data/processed.lus.2017
      md5: cd93e1d1eb4f857a9dab0cdc9e61c476.dir
      size: 54193516092
      nfiles: 12918
    - path: data/processed.masks.2017
      md5: ed46f628af2e934ce245fef7bb707d02.dir
      size: 3633218132
      nfiles: 866
    params:
      params.yaml:
        createdataset.tile_size: 256
        file_type: TIFF
        source_dim: 2048
    outs:
    - path: data/dataset/stats_2017.csv
      md5: b29cb5609b2c95ab0e819619279d4c1c
      size: 2258658
    - path: data/dataset/train_2017
      md5: 325e1c100e27b7ba458f7a49ad45b311.dir
      size: 738652160
      nfiles: 29
  createdataset@2019:
    cmd: python scripts/createdataset.py  data/processed.images.2019  data/processed.masks.2019  data/processed.lus.2019  data/dataset  --subdir
      train_2019 --source_dim 2048 --tile_size 256 --format TIFF --stats stats_2019.csv
    deps:
    - path: data/processed.images.2019
      md5: 35c31b781cb0bdb19650329132d83d05.dir
      size: 144926802415
      nfiles: 30489
    - path: data/processed.lus.2019
      md5: e7700c6cafd6d3140afc916637ef54c6.dir
      size: 54193516092
      nfiles: 12918
    - path: data/processed.masks.2019
      md5: 83ce7ca88e1ed7fbf401d0d185ec261d.dir
      size: 4103103156
      nfiles: 978
    params:
      params.yaml:
        createdataset.tile_size: 256
        file_type: TIFF
        source_dim: 2048
    outs:
    - path: data/dataset/stats_2019.csv
      md5: c4bdc60a6b48ccbf31bba9c7504c19fe
      size: 2513851
    - path: data/dataset/train_2019
      md5: c39665bff457346b2537a4a3a511b50b.dir
      size: 1519052800
      nfiles: 60
  createmasks@2019:
    cmd: python scripts/createmasks.py  data/processed.images.2019  data/processed.masks.2019  data/raw/shapefiles/deadtrees_2019/deadtrees_2019.shp
    deps:
    - path: data/processed.images.2019
      md5: 35c31b781cb0bdb19650329132d83d05.dir
      size: 144926802415
      nfiles: 30489
    - path: data/raw/shapefiles/deadtrees_2019
      md5: 206432f450611c44ceb32c49e50aa8c9.dir
      size: 3996517
      nfiles: 5
    outs:
    - path: data/processed.masks.2019
      md5: 83ce7ca88e1ed7fbf401d0d185ec261d.dir
      size: 4103103156
      nfiles: 978
  mergedatasets:
    cmd: python scripts/mergedatasets.py data/dataset/train_2017 data/dataset/train_2019
    deps:
    - path: data/dataset/train_2017
      md5: 325e1c100e27b7ba458f7a49ad45b311.dir
      size: 738652160
      nfiles: 29
    - path: data/dataset/train_2019
      md5: c39665bff457346b2537a4a3a511b50b.dir
      size: 1519052800
      nfiles: 60
    outs:
    - path: data/dataset/test
      md5: 3ed97313db477e2d5f59e46b3d217014.dir
      size: 202332160
      nfiles: 9
    - path: data/dataset/train
      md5: 741a1c98ab0e5dcf2f896dde2ff6f5a8.dir
      size: 1592913920
      nfiles: 62
    - path: data/dataset/val
      md5: 14cbc9d627fef88c676cfbee18530b3f.dir
      size: 462458880
      nfiles: 18
  createforestmasks@2019:
    cmd: python scripts/createmasks.py  data/processed.images.2019  data/processed.lus.2019  data/raw/shapefiles/forestmask/CORINE_forest.shp
      --simple
    deps:
    - path: data/processed.images.2019
      md5: 35c31b781cb0bdb19650329132d83d05.dir
      size: 144926802415
      nfiles: 30489
    - path: data/raw/shapefiles/forestmask/CORINE_forest.shp
      md5: 63947721b118c62a091559483db5d8f6
      size: 43334576
    outs:
    - path: data/processed.lus.2019
      md5: e7700c6cafd6d3140afc916637ef54c6.dir
      size: 54193516092
      nfiles: 12918
  createforestmasks@2017:
    cmd: python scripts/createmasks.py  data/processed.images.2017  data/processed.lus.2017  data/raw/shapefiles/forestmask/CORINE_forest.shp
      --simple
    deps:
    - path: data/processed.images.2017
      md5: 66de96d201af5a47a09997691b992370.dir
      size: 109902740888
      nfiles: 30489
    - path: data/raw/shapefiles/forestmask/CORINE_forest.shp
      md5: 63947721b118c62a091559483db5d8f6
      size: 43334576
    outs:
    - path: data/processed.lus.2017
      md5: cd93e1d1eb4f857a9dab0cdc9e61c476.dir
      size: 54193516092
      nfiles: 12918
  createmasks@2020:
    cmd: python scripts/createmasks.py  data/processed.images.2020  data/processed.masks.2020  data/raw/shapefiles/deadtrees_2020_test/deadtrees_2020_test.shp
    deps:
    - path: data/processed.images.2020
      md5: 76d4daf0d9e69904a9370a0c74006d17.dir
      size: 163333629599
      nfiles: 30489
    - path: data/raw/shapefiles/deadtrees_2020_test
      md5: 2a046c036168c2c799ec3e7ff2ac4bc4.dir
      size: 747779
      nfiles: 5
    outs:
    - path: data/processed.masks.2020
      md5: 64ab160672cf600aafc0292164150af2.dir
      size: 247528718
      nfiles: 59
  createmasks@2018:
    cmd: python scripts/createmasks.py  data/processed.images.2018  data/processed.masks.2018  data/raw/shapefiles/deadtrees_2018_test/deadtrees_2018_test.shp
    deps:
    - path: data/processed.images.2018
      md5: cfa0adee6401f838f162a0510085becf.dir
      size: 144861203951
      nfiles: 30489
    - path: data/raw/shapefiles/deadtrees_2018_test
      md5: d0f0aad50514c79c8939acc9c29683bf.dir
      size: 65551
      nfiles: 5
    outs:
    - path: data/processed.masks.2018
      md5: df9b55bc5bfd32cfedaafe633d4963ec.dir
      size: 121666658
      nfiles: 29
  createforestmasks@2018:
    cmd: python scripts/createmasks.py  data/processed.images.2018  data/processed.lus.2018  data/raw/shapefiles/forestmask/CORINE_forest.shp
      --simple
    deps:
    - path: data/processed.images.2018
      md5: cfa0adee6401f838f162a0510085becf.dir
      size: 144861203951
      nfiles: 30489
    - path: data/raw/shapefiles/forestmask/CORINE_forest.shp
      md5: 63947721b118c62a091559483db5d8f6
      size: 43334576
    outs:
    - path: data/processed.lus.2018
      md5: 692742b22e690cfbbef15101c24078c5.dir
      size: 54193516092
      nfiles: 12918
  createforestmasks@2020:
    cmd: python scripts/createmasks.py  data/processed.images.2020  data/processed.lus.2020  data/raw/shapefiles/forestmask/CORINE_forest.shp
      --simple
    deps:
    - path: data/processed.images.2020
      md5: 76d4daf0d9e69904a9370a0c74006d17.dir
      size: 163333629599
      nfiles: 30489
    - path: data/raw/shapefiles/forestmask/CORINE_forest.shp
      md5: 63947721b118c62a091559483db5d8f6
      size: 43334576
    outs:
    - path: data/processed.lus.2020
      md5: 10691c48713cdf6555842329a31cf9a2.dir
      size: 54193516092
      nfiles: 12918
  createdataset@2018:
    cmd: python scripts/createdataset.py  data/processed.images.2018  data/processed.masks.2018  data/processed.lus.2018  data/dataset  --subdir
      train_2018 --source_dim 2048 --tile_size 256 --format TIFF --stats stats_2018.csv
    deps:
    - path: data/processed.images.2018
      md5: cfa0adee6401f838f162a0510085becf.dir
      size: 144861203951
      nfiles: 30489
    - path: data/processed.lus.2018
      md5: 692742b22e690cfbbef15101c24078c5.dir
      size: 54193516092
      nfiles: 12918
    - path: data/processed.masks.2018
      md5: df9b55bc5bfd32cfedaafe633d4963ec.dir
      size: 121666658
      nfiles: 29
    params:
      params.yaml:
        createdataset.tile_size: 256
        file_type: TIFF
        source_dim: 2048
    outs:
    - path: data/dataset/stats_2018.csv
      md5: aea5a89c55e0f0b3ab2a1c1bbccf218d
      size: 76225
    - path: data/dataset/train_2018
      md5: 5a70790f4dc3df08571e3994c5421205.dir
      size: 25692160
      nfiles: 1
  createdataset@2020:
    cmd: python scripts/createdataset.py  data/processed.images.2020  data/processed.masks.2020  data/processed.lus.2020  data/dataset  --subdir
      train_2020 --source_dim 2048 --tile_size 256 --format TIFF --stats stats_2020.csv
    deps:
    - path: data/processed.images.2020
      md5: 76d4daf0d9e69904a9370a0c74006d17.dir
      size: 163333629599
      nfiles: 30489
    - path: data/processed.lus.2020
      md5: 10691c48713cdf6555842329a31cf9a2.dir
      size: 54193516092
      nfiles: 12918
    - path: data/processed.masks.2020
      md5: 64ab160672cf600aafc0292164150af2.dir
      size: 247528718
      nfiles: 59
    params:
      params.yaml:
        createdataset.tile_size: 256
        file_type: TIFF
        source_dim: 2048
    outs:
    - path: data/dataset/stats_2020.csv
      md5: fbeccb80c0c127aafd2a3009d8a1cf1a
      size: 148564
    - path: data/dataset/train_2020
      md5: a7ef5b8149ea1b419ab2d22ad60165e5.dir
      size: 146124800
      nfiles: 6