change to cli_proc

1 files changed, 0 insertions, 47 deletions

diff --git a/megapixels/commands/cv/cluster.py b/megapixels/commands/cv/cluster.py
deleted file mode 100644
index 419091a0..00000000
--- a/megapixels/commands/cv/cluster.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import click
-
-from app.settings import types
-from app.utils import click_utils
-from app.settings import app_cfg as cfg
-from app.utils.logger_utils import Logger
-
-@click.command()
-@click.option('--data_store', 'opt_data_store',
-  type=cfg.DataStoreVar,
-  default=click_utils.get_default(types.DataStore.NAS),
-  show_default=True,
-  help=click_utils.show_help(types.Dataset))
-@click.option('--dataset', 'opt_dataset',
-  type=cfg.DatasetVar,
-  required=True,
-  show_default=True,
-  help=click_utils.show_help(types.Dataset))
-@click.option('--metadata', 'opt_metadata', required=True,
-  type=cfg.MetadataVar,
-  show_default=True,
-  help=click_utils.show_help(types.Metadata))
-@click.pass_context
-def cli(ctx, opt_data_store, opt_dataset, opt_metadata):
-  """Display image info"""
-    
-    # cluster the embeddings
-  print("[INFO] clustering...")
-  clt = DBSCAN(metric="euclidean", n_jobs=args["jobs"])
-  clt.fit(encodings)
-   
-  # determine the total number of unique faces found in the dataset
-  labelIDs = np.unique(clt.labels_)
-  numUniqueFaces = len(np.where(labelIDs > -1)[0])
-  print("[INFO] # unique faces: {}".format(numUniqueFaces))
-  # load and display image
-  im = cv.imread(fp_im)
-  cv.imshow('', im)
-
-  while True:
-    k = cv.waitKey(1) & 0xFF
-    if k == 27 or k == ord('q'):  # ESC
-      cv.destroyAllWindows()
-      sys.exit()
-    elif k != 255:
-      # any key to continue
-      break  
\ No newline at end of file