Other task

hydra_flash/conf/datamodule/movie_posters.yaml

+_target_: flash.image.ImageClassificationData.from_csv
+input_field: "Id"
+target_fields: ["Action", "Romance", "Crime", "Thriller", "Adventure"]
+train_file: ${preprocess.path}/movie_posters/train/metadata.csv
+train_resolver:
+  _target_: hydra_flash.utils.resolver
+  _partial_: true
+val_file: ${preprocess.path}/movie_posters/val/metadata.csv
+val_resolver:
+  _target_: hydra_flash.utils.resolver
+  _partial_: true
+transform_kwargs:
+  image_size: [128, 128]
+batch_size: 1

hydra_flash/conf/datamodule/movie_posters_test.yaml

+_target_: flash.image.ImageClassificationData.from_files
+predict_files:
+  - "${preprocess.path}/movie_posters/predict/tt0085318.jpg"
+  - "${preprocess.path}/movie_posters/predict/tt0089461.jpg"
+  - "${preprocess.path}/movie_posters/predict/tt0097179.jpg"
+batch_size: 3

hydra_flash/conf/experiment/movie_poster.yaml

+# @package _global_
+defaults:
+  - _self_
+  - /server: local
+  - /preprocess: movie_poster
+  - /datamodule: movie_posters
+  - /model: resnet18
+  - /datamodule@predict_datamodule: movie_posters_test
+
+trainer:
+  _target_: flash.Trainer
+  max_epochs: 3
+  gpus: 1

hydra_flash/conf/preprocess/movie_poster.yaml

+defaults:
+  - download
+
+url: "https://pl-flash-data.s3.amazonaws.com/movie_posters.zip"