add pose filter

4 files changed, 162 insertions, 21 deletions

diff --git a/megapixels/commands/cv/face_pose_to_csv.py b/megapixels/commands/cv/rois_to_pose.py
index ca7489de..3877cecf 100644
--- a/megapixels/commands/cv/face_pose_to_csv.py
+++ b/megapixels/commands/cv/rois_to_pose.py
@@ -1,18 +1,15 @@
 """
-Crop images to prepare for training
+Converts ROIs to pose: yaw, roll, pitch
 """
 
 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,
+@click.option('-i', '--input', 'opt_fp_files', required=True,
   help='Input ROI CSV')
 @click.option('-r', '--rois', 'opt_fp_rois', required=True,
   help='Input ROI CSV')
@@ -27,9 +24,11 @@ color_filters = {'color': 1, 'gray': 2, 'all': 3}
   help='Slice list of files')
 @click.option('-f', '--force', 'opt_force', is_flag=True,
   help='Force overwrite file')
+@click.option('-d', '--display', 'opt_display', is_flag=True,
+  help='Display image for debugging')
 @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_slice, opt_force, opt_display):
   """Converts ROIs to pose: roll, yaw, pitch"""
   
   import sys
@@ -58,6 +57,7 @@ def cli(ctx, opt_fp_files, opt_fp_rois, opt_dir_media, opt_fp_out, opt_size,
   face_pose = FacePoseDLIB()
   face_landmarks = LandmarksDLIB()
 
+  # load datra
   df_files = pd.read_csv(opt_fp_files)
   df_rois = pd.read_csv(opt_fp_rois)
 
@@ -70,32 +70,54 @@ def cli(ctx, opt_fp_files, opt_fp_rois, opt_dir_media, opt_fp_out, opt_size,
   
   # -------------------------------------------------
   # process here
-
-  df_roi_groups = df_rois.groupby('index')
-  log.debug('processing {:,} groups'.format(len(df_roi_groups)))
+  df_img_groups = df_rois.groupby('image_index')
+  log.debug('processing {:,} groups'.format(len(df_img_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):
+  # iterate 
+  #for df_roi_group_idx, df_roi_group in tqdm(df_roi_groups):
+  for image_index, df_img_group in tqdm(df_img_groups):
     # make fp
-    image_index = df_roi_group.image_index.values[0]
+    #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]
+    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]
     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)
+    pose_data = face_pose.pose(landmarks, dim, project_points=opt_display)
+    pose_degrees = pose_data['degrees']  # only keep the degrees data
+
+    # use the project point data if display flag set
+    if opt_display:
+      pts_im = pose_data['points_image']
+      pts_model = pose_data['points_model']
+      pt_nose = pose_data['point_nose']
+      dst = im.copy()
+      face_pose.draw_pose(dst, pts_im, pts_model, pt_nose)
+      face_pose.draw_degrees(dst, pose_degrees)
+      # display to cv window
+      cv.imshow('', dst)
+      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
+
+    # add image index and append to result CSV data
+    pose_degrees['image_index'] = image_index
+    poses.append(pose_degrees)
 
 
   # save date
diff --git a/megapixels/commands/cv/face_vec_to_csv.py b/megapixels/commands/cv/rois_to_vecs.py
index 6c9fad09..525f4404 100644
--- a/megapixels/commands/cv/face_vec_to_csv.py
+++ b/megapixels/commands/cv/rois_to_vecs.py
@@ -10,7 +10,7 @@ from app.settings import app_cfg as cfg
 
 @click.command()
 @click.option('-i', '--input', 'opt_fp_files', required=True,
-  help='Input ROI CSV')
+  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,
@@ -73,7 +73,6 @@ def cli(ctx, opt_fp_files, opt_fp_rois, opt_dir_media, opt_fp_out, opt_size,
   
   # -------------------------------------------------
   # process here
-
   df_img_groups = df_rois.groupby('image_index')
   log.debug('processing {:,} groups'.format(len(df_img_groups)))
 
diff --git a/megapixels/commands/datasets/filter_poses.py b/megapixels/commands/datasets/filter_poses.py
new file mode 100644
index 00000000..304eeff2
--- /dev/null
+++ b/megapixels/commands/datasets/filter_poses.py
@@ -0,0 +1,76 @@
+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()
+
+@click.command()
+@click.option('-i', '--input', 'opt_fp_in', required=True,
+  help='Input directory')
+@click.option('-o', '--output', 'opt_fp_out', required=True,
+  help='Output directory')
+@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('--yaw', 'opt_yaw', type=(float, float), default=(-25,25),
+  help='Yaw (min, max)')
+@click.option('--roll', 'opt_roll', type=(float, float), default=(-15,15),
+  help='Roll (min, max)')
+@click.option('--pitch', 'opt_pitch', type=(float, float), default=(-10,10),
+  help='Pitch (min, max)')
+@click.option('--drop', 'opt_drop', type=click.Choice(['valid', 'invalid']), default='invalid',
+  help='Drop valid or invalid poses')
+@click.pass_context
+def cli(ctx, opt_fp_in, opt_fp_out, opt_slice, opt_yaw, opt_roll, opt_pitch, 
+  opt_drop, opt_force):
+  """Filter out exaggerated poses"""
+  
+  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 pandas as pd
+  from tqdm import tqdm
+  from glob import glob
+  
+  from app.utils import file_utils, im_utils
+
+
+  if not opt_force and Path(opt_fp_out).exists():
+    log.error('File exists. Use "-f / --force" to overwite')
+    return
+
+  df_poses = pd.read_csv(opt_fp_in).set_index('index')
+
+  if opt_slice:
+    df_poses = df_poses[opt_slice[0]:opt_slice[1]]
+
+  log.info('Processing {:,} rows'.format(len(df_poses)))
+
+  # extend a new temporary column
+  df_poses['valid'] = [0] * len(df_poses)
+
+  # filter out extreme poses
+  for ds_pose in tqdm(df_poses.itertuples(), total=len(df_poses)):
+    if ds_pose.yaw > opt_yaw[0] and ds_pose.yaw < opt_yaw[1] \
+      and ds_pose.roll > opt_roll[0] and ds_pose.roll < opt_roll[1] \
+      and ds_pose.pitch > opt_pitch[0] and ds_pose.pitch < opt_pitch[1]:
+        df_poses.at[ds_pose.Index, 'valid'] = 1
+
+  # filter out valid/invalid
+  drop_val = 0 if opt_drop == 'valid' else 0  # drop 0's if drop == valid, else drop 1's
+  df_poses_filtered = df_poses.drop(df_poses[df_poses.valid == int()].index, axis=0)
+  
+  # drop temp column
+  df_poses_filtered = df_poses_filtered.drop('valid', axis=1)
+  
+  # save filtered poses
+  df_poses_filtered.to_csv(opt_fp_out)
+  log.info('Saved {:,} rows'.format(len(df_poses_filtered)))
\ No newline at end of file
diff --git a/megapixels/commands/datasets/lookup.py b/megapixels/commands/datasets/lookup.py
new file mode 100644
index 00000000..11f54957
--- /dev/null
+++ b/megapixels/commands/datasets/lookup.py
@@ -0,0 +1,44 @@
+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()
+
+lookup_types = ['image', 'identity']
+
+@click.command()
+@click.option('-i', '--input', 'opt_fp_in', required=True,
+  help='Input CSV file')
+@click.option('-t', '--type', 'opt_type', default='image', 
+  type=click.Choice(lookup_types),
+  help='Type of lookup')
+@click.option('-d', '--dataset', 'opt_dataset', required=True,
+  type=cfg.DatasetVar,
+  default=click_utils.get_default(types.Dataset.LFW),
+  show_default=True,
+  help=click_utils.show_help(types.Dataset))
+@click.option('--index', 'opt_index', required=True,
+  help='Index to lookup')
+@click.pass_context
+def cli(ctx, opt_fp_in, opt_fp_out, opt_index):
+  """Display image info"""
+  
+  from glob import glob
+  from os.path import join
+  from pathlib import Path
+  import time
+
+  import pandas as pd
+  from tqdm import tqdm
+  
+  from app.utils import file_utils, im_utils
+
+  # lookup and index and display all information
+  df = pd.read_csv(opt_fp_in).set_index('index')
+
+  
+
+  
\ No newline at end of file