fix roi index, clean up pose, roi, records, vector

1 files changed, 0 insertions, 167 deletions

diff --git a/megapixels/commands/datasets/records.py b/megapixels/commands/datasets/records.py
deleted file mode 100644
index b6ef618b..00000000
--- a/megapixels/commands/datasets/records.py
+++ /dev/null
@@ -1,167 +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
-
-log = Logger.getLogger()
-
-identity_sources = ['subdir', 'subdir_head', 'subdir_tail']
-
-@click.command()
-@click.option('-i', '--input', 'opt_fp_in', default=None,
-  help='Override enum input filename CSV')
-@click.option('-o', '--output', 'opt_fp_out', default=None,
-  help='Override enum output filename CSV')
-@click.option('-m', '--media', 'opt_dir_media', default=None,
-  help='Override enum media directory')
-@click.option('--data_store', 'opt_data_store',
-  type=cfg.DataStoreVar,
-  default=click_utils.get_default(types.DataStore.SSD),
-  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('--slice', 'opt_slice', type=(int, int), default=(None, None),
-  help='Slice list of files')
-@click.option('-t', '--threads', 'opt_threads', default=12,
-  help='Number of threads')
-@click.option('-f', '--force', 'opt_force', is_flag=True,
-  help='Force overwrite file')
-@click.option('--identity', 'opt_identity', default=None, type=click.Choice(identity_sources),
-  help='Identity source, blank for no identity')
-@click.option('--recursive/--no-recursive', 'opt_recursive', is_flag=True, default=False,
-  help='Use glob recursion (slower)')
-@click.pass_context
-def cli(ctx, opt_fp_in, opt_fp_out, opt_dataset, opt_data_store, opt_dir_media, opt_slice, opt_threads,
-  opt_identity, opt_force, opt_recursive):
-  """Generates sha256, uuid, and identity index CSV file"""
-  
-  import sys
-  from glob import glob
-  from os.path import join
-  from pathlib import Path
-  import time
-  from multiprocessing.dummy import Pool as ThreadPool 
-  import random
-  import uuid
-
-  import pandas as pd
-  from tqdm import tqdm
-  from glob import glob
-
-  from app.models.data_store import DataStore
-  from app.utils import file_utils, im_utils
-
-
-  # set data_store
-  data_store = DataStore(opt_data_store, opt_dataset)
-  # get filepath out
-  fp_out = data_store.metadata(types.Metadata.FILE_RECORD) if opt_fp_out is None else opt_fp_out
-  # exit if exists
-  if not opt_force and Path(fp_out).exists():
-    log.error('File exists. Use "-f / --force" to overwite')
-    return
-  
-  # ----------------------------------------------------------------
-  # glob files
-
-  fp_in = opt_fp_in if opt_fp_in is not None else data_store.media_images_original()
-  log.info(f'Globbing {fp_in}')
-  fp_ims = file_utils.glob_multi(fp_in, ['jpg', 'png'], recursive=opt_recursive)
-  # fail if none
-  if not fp_ims:
-    log.error('No images. Try with "--recursive"')
-    return
-  # slice to reduce
-  if opt_slice:
-    fp_ims = fp_ims[opt_slice[0]:opt_slice[1]]
-  log.info('Found {:,} images'.format(len(fp_ims)))
-
-
-  # ----------------------------------------------------------------
-  # multithread process into SHA256
-
-  pbar = tqdm(total=len(fp_ims))
-
-  def as_sha256(fp_im):
-    pbar.update(1)
-    return file_utils.sha256(fp_im)
-
-  # convert to thread pool
-  sha256s = []  # ?
-  pool = ThreadPool(opt_threads) 
-  with tqdm(total=len(fp_ims)) as pbar:
-    sha256s = pool.map(as_sha256, fp_ims)
-  pbar.close()
-
-
-  # ----------------------------------------------------------------
-  # convert data to dict
-  
-  data = []
-  indentity_count = 0
-  for sha256, fp_im in zip(sha256s, fp_ims):
-    fpp_im = Path(fp_im)
-    subdir = str(fpp_im.parent.relative_to(fp_in))
-    
-
-    if opt_identity:
-      subdirs = subdir.split('/')
-      if not len(subdirs) > 0:
-        log.error(f'Could not split subdir: "{subdir}. Try different option for "--identity"')
-        log.error('exiting')
-        return
-      if opt_identity == 'subdir':
-        identity = subdirs[0]  # use first/only part
-      elif opt_identity == 'subdir_head':
-        identity = subdirs[0]  # use first part of subdir path
-      elif opt_identity == 'subdir_tail':
-        identity = subdirs[-1]  # use last part of subdir path
-    else:
-      identity = indentity_count  # use incrementing number
-      indentity_count += 1
-
-    data.append({
-      'subdir': subdir,
-      'fn': fpp_im.stem,
-      'ext': fpp_im.suffix.replace('.',''),
-      'sha256': sha256,
-      'uuid': uuid.uuid4(),
-      'identity_key': identity
-      })
-
-  df_records = pd.DataFrame.from_dict(data)
-  if opt_identity:
-    log.info(f'adding identity index using: "{opt_identity}". This may take a while...')
-    # convert dict to DataFrame
-    # sort based on identity_key
-    df_records = df_records.sort_values(by=['identity_key'], ascending=True)
-    # add new column for identity
-    df_records['identity_index'] = [-1] * len(df_records)
-    # populate the identity_index
-    df_records_identity_groups = df_records.groupby('identity_key')
-    # enumerate groups to create identity indices
-    for identity_index, df_records_identity_group_tuple in enumerate(df_records_identity_groups):
-      identity_key, df_records_identity_group = df_records_identity_group_tuple
-      for ds_record in df_records_identity_group.itertuples():
-        df_records.at[ds_record.Index, 'identity_index'] = identity_index
-    # reset index after being sorted
-    df_records = df_records.reset_index(drop=True)
-  else:
-    # name everyone person 1, 2, 3...
-    pass
-
-  df_records.index.name = 'index'  # reassign 'index' as primary key column
-  # write to CSV
-  file_utils.mkdirs(fp_out)
-  df_records.to_csv(fp_out)
-  # done
-  log.info(f'wrote rows: {len(df_records)} to {fp_out}')
\ No newline at end of file