still sorting CSV vectors indexes

1 files changed, 0 insertions, 109 deletions

diff --git a/megapixels/commands/cv/rois_to_vecs.py b/megapixels/commands/cv/rois_to_vecs.py
deleted file mode 100644
index 525f4404..00000000
--- a/megapixels/commands/cv/rois_to_vecs.py
+++ /dev/null
@@ -1,109 +0,0 @@
-"""
-Converts ROIs to face vector
-"""
-
-import click
-
-from app.settings import types
-from app.utils import click_utils
-from app.settings import app_cfg as cfg
-
-@click.command()
-@click.option('-i', '--input', 'opt_fp_files', required=True,
-  help='Input file meta CSV')
-@click.option('-r', '--rois', 'opt_fp_rois', required=True,
-  help='Input ROI CSV')
-@click.option('-m', '--media', 'opt_dir_media', required=True,
-  help='Input media directory')
-@click.option('-o', '--output', 'opt_fp_out', required=True,
-  help='Output CSV')
-@click.option('--size', 'opt_size', 
-  type=(int, int), default=(300, 300),
-  help='Output image size')
-@click.option('-j', '--jitters', 'opt_jitters', default=cfg.DLIB_FACEREC_JITTERS,
-  help='Number of jitters')
-@click.option('-p', '--padding', 'opt_padding', default=cfg.DLIB_FACEREC_PADDING,
-  help='Percentage padding')
-@click.option('--slice', 'opt_slice', type=(int, int), default=(None, None),
-  help='Slice list of files')
-@click.option('-f', '--force', 'opt_force', is_flag=True,
-  help='Force overwrite file')
-@click.option('-g', '--gpu', 'opt_gpu', default=0,
-  help='GPU index')
-@click.pass_context
-def cli(ctx, opt_fp_files, opt_fp_rois, opt_dir_media, opt_fp_out, opt_size, 
-  opt_slice, opt_force, opt_gpu, opt_jitters, opt_padding):
-  """Converts face ROIs to vectors"""
-  
-  import sys
-  import os
-  from os.path import join
-  from pathlib import Path
-  from glob import glob
-  
-  from tqdm import tqdm
-  import numpy as np
-  import dlib  # must keep a local reference for dlib
-  import cv2 as cv
-  import pandas as pd
-
-  from app.models.bbox import BBox
-  from app.utils import logger_utils, file_utils, im_utils
-  from app.processors import face_recognition
-
-
-  # -------------------------------------------------
-  # init here
-
-  log = logger_utils.Logger.getLogger()
-
-  # init face processors
-  facerec = face_recognition.RecognitionDLIB()
-
-  # load data
-  df_file_meta = pd.read_csv(opt_fp_files)
-  df_rois = pd.read_csv(opt_fp_rois)
-
-  if not opt_force and Path(opt_fp_out).exists():
-    log.error('File exists. Use "-f / --force" to overwite')
-    return
-  
-  if opt_slice:
-    df_rois = df_rois[opt_slice[0]:opt_slice[1]]
-  
-  # -------------------------------------------------
-  # process here
-  df_img_groups = df_rois.groupby('image_index')
-  log.debug('processing {:,} groups'.format(len(df_img_groups)))
-
-  vecs = []
-
-  for image_index, df_img_group in tqdm(df_img_groups):
-    # make fp
-    roi_index = df_img_group.index.values[0]
-    file_meta = df_file_meta.iloc[image_index]  # locate image meta
-    fp_im = join(opt_dir_media, file_meta.subdir, '{}.{}'.format(file_meta.fn, file_meta.ext))
-    im = cv.imread(fp_im)
-    # get bbox
-    x = df_img_group.x.values[0]
-    y = df_img_group.y.values[0]
-    w = df_img_group.w.values[0]
-    h = df_img_group.h.values[0]
-    imw = df_img_group.image_width.values[0]
-    imh = df_img_group.image_height.values[0]
-    dim = im.shape[:2][::-1]
-    # get face vector
-    dim = (imw, imh)
-    bbox_dim = BBox.from_xywh(x, y, w, h).to_dim(dim)  # convert to int real dimensions
-    # compute vec
-    # padding=opt_padding not yet implemented in 19.16 but merged in master
-    vec = facerec.vec(im, bbox_dim, jitters=opt_jitters)
-    vec_str = ','.join([repr(x) for x in vec])  # convert to string for CSV
-    vecs.append( {'roi_index': roi_index, 'image_index': image_index, 'vec': vec_str})
-
-
-  # save date
-  file_utils.mkdirs(opt_fp_out)
-  df = pd.DataFrame.from_dict(vecs)
-  df.index.name = 'index'
-  df.to_csv(opt_fp_out)
\ No newline at end of file