diff options
Diffstat (limited to 'megapixels/commands')
| -rw-r--r-- | megapixels/commands/cv/rois_to_pose.py (renamed from megapixels/commands/cv/face_pose_to_csv.py) | 60 | ||||
| -rw-r--r-- | megapixels/commands/cv/rois_to_vecs.py (renamed from megapixels/commands/cv/face_vec_to_csv.py) | 3 | ||||
| -rw-r--r-- | megapixels/commands/datasets/filter_poses.py | 76 | ||||
| -rw-r--r-- | megapixels/commands/datasets/lookup.py | 44 |
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') + + + +
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