add pose filter

1 files changed, 0 insertions, 105 deletions

diff --git a/megapixels/commands/cv/face_pose_to_csv.py b/megapixels/commands/cv/face_pose_to_csv.py
deleted file mode 100644
index ca7489de..00000000
--- a/megapixels/commands/cv/face_pose_to_csv.py
+++ /dev/null
@@ -1,105 +0,0 @@
-"""
-Crop images to prepare for training
-"""
-
-import click
-# from PIL import Image, ImageOps, ImageFilter, ImageDraw
-
-from app.settings import types
-from app.utils import click_utils
-from app.settings import app_cfg as cfg
-
-color_filters = {'color': 1, 'gray': 2, 'all': 3}
-
-@click.command()
-@click.option('-f', '--files', 'opt_fp_files', required=True,
-  help='Input ROI 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('--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.pass_context
-def cli(ctx, opt_fp_files, opt_fp_rois, opt_dir_media, opt_fp_out, opt_size, 
-  opt_slice, opt_force):
-  """Converts ROIs to pose: roll, yaw, pitch"""
-  
-  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.face_landmarks import LandmarksDLIB
-  from app.processors.face_pose import FacePoseDLIB
-
-  # -------------------------------------------------
-  # init here
-
-  log = logger_utils.Logger.getLogger()
-
-  # init face processors
-  face_pose = FacePoseDLIB()
-  face_landmarks = LandmarksDLIB()
-
-  df_files = 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_roi_groups = df_rois.groupby('index')
-  log.debug('processing {:,} groups'.format(len(df_roi_groups)))
-
-
-  poses = []
-
-  #for df_roi_group in tqdm(df_roi_groups.itertuples(), total=len(df_roi_groups)):
-  for df_roi_group_idx, df_roi_group in tqdm(df_roi_groups):
-    # make fp
-    image_index = df_roi_group.image_index.values[0]
-    pds_file = df_files.iloc[image_index]
-    fp_im = join(opt_dir_media, pds_file.subdir, '{}.{}'.format(pds_file.fn, pds_file.ext))
-    im = cv.imread(fp_im)
-    # get bbox
-    x = df_roi_group.x.values[0]
-    y = df_roi_group.y.values[0]
-    w = df_roi_group.w.values[0]
-    h = df_roi_group.h.values[0]
-    dim = im.shape[:2][::-1]
-    bbox = BBox.from_xywh(x, y, w, h).to_dim(dim)
-    # get pose
-    landmarks = face_landmarks.landmarks(im, bbox)
-    pose = face_pose.pose(landmarks, dim)
-    pose['image_index'] = image_index
-    poses.append(pose)
-
-
-  # save date
-  file_utils.mkdirs(opt_fp_out)
-  df = pd.DataFrame.from_dict(poses)
-  df.index.name = 'index'
-  df.to_csv(opt_fp_out)
\ No newline at end of file