1 files changed, 105 insertions, 0 deletions
diff --git a/megapixels/commands/cv/face_pose_to_csv.py b/megapixels/commands/cv/face_pose_to_csv.py
new file mode 100644
index 00000000..ca7489de
--- /dev/null
+++ b/megapixels/commands/cv/face_pose_to_csv.py
@@ -0,0 +1,105 @@
+"""
+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