added VST to DVC

Dockerfile

@@ -32,7 +32,7 @@ RUN wget --no-check-certificate https://www.python.org/ftp/python/3.12.4/Python-
     # Delete the unzipped directory and downloaded archive to save space
     && rm -rf Python-3.12.4 Python-3.12.4.tgz \
     # Create symlink for python3
-    && ln -s /usr/local/bin/python3.12 /usr/local/bin/python3
+    && ln -s /usr/local/bin/python3.12 /usr/local/bin/python3 \
     && ln -s /usr/local/bin/python3.12 /usr/local/bin/python
 
 # Set the working directory

data/.gitignore

@@ -1,2 +1,3 @@
 /raw
 /processed
+/VST

data/VST.dvc

@@ -0,0 +1,6 @@
+outs:
+- md5: 5a5cd90402cf8cc2f98d5992f6a487c3.dir
+  size: 23987200
+  nfiles: 1
+  hash: md5
+  path: VST

data/raw.dvc

@@ -1,6 +1,6 @@
 outs:
-- md5: 2dcbe8daf66e7ea8b0e6cf093d76c2e1.dir
-  size: 1278404546
-  nfiles: 2533
+- md5: d256e119f06c12d2eaa3146f535fe4d9.dir
+  size: 25641601540
+  nfiles: 40966
   hash: md5
   path: raw

dvc.yaml

@@ -1,25 +1,25 @@
 stages:
-  # preprocess:
-  #   cmd: python source/preprocess.py
-  #   deps:
-  #   - source/preprocess.py
-  #   - source/utilities/dataset.py
-  #   - data/raw/
-  #   params:
-  #   - preprocess.input_directory
-  #   - preprocess.dry_output_directory
-  #   - preprocess.short_output_directory
-  #   - preprocess.wet_output_directory
-  #   - preprocess.board_chunk_size
-  #   - preprocess.sliding_mean_length
-  #   - preprocess.noise_duration
-  #   - preprocess.num_noises
-  #   - preprocess.plate_reverb_path
-  #   - preprocess.model_batch_size
-  #   - train.input_size
-  #   - general.sample_rate
-  #   outs:
-  #   - data/processed/
+  preprocess:
+    cmd: python3 source/preprocess.py
+    deps:
+    - source/preprocess.py
+    - source/utilities/dataset.py
+    - data/raw/
+    params:
+    - preprocess.input_directory
+    - preprocess.dry_output_directory
+    - preprocess.short_output_directory
+    - preprocess.wet_output_directory
+    - preprocess.board_chunk_size
+    - preprocess.sliding_mean_length
+    - preprocess.noise_duration
+    - preprocess.num_noises
+    - preprocess.plate_reverb_path
+    - preprocess.model_batch_size
+    - train.input_size
+    - general.sample_rate
+    outs:
+    - data/processed/
   train:
     cmd: python3 source/train.py
     deps:

params.yaml

@@ -20,7 +20,7 @@ train:
   n_inputs: 1
   n_bands: 16
   latent_dim: 128
-  n_epochs: 1
+  n_epochs: 1000
   batch_size: 32
   kernel_size: 13
   n_blocks: 3