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-rw-r--r--megapixels/commands/demo/face_detection.py126
1 files changed, 0 insertions, 126 deletions
diff --git a/megapixels/commands/demo/face_detection.py b/megapixels/commands/demo/face_detection.py
deleted file mode 100644
index 488cc80d..00000000
--- a/megapixels/commands/demo/face_detection.py
+++ /dev/null
@@ -1,126 +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
-
-
-@click.command()
-@click.option('-i', '--input', 'opt_fp_in', default=None, required=True,
- help='Image filepath')
-@click.option('-o', '--output', 'opt_fp_out', default=None,
- help='GIF output path')
-@click.option('--size', 'opt_size',
- type=(int, int), default=(300, 300),
- help='Output image size')
-@click.option('-g', '--gpu', 'opt_gpu', default=0,
- help='GPU index')
-@click.option('-f', '--force', 'opt_force', is_flag=True,
- help='Force overwrite file')
-@click.option('--display/--no-display', 'opt_display', is_flag=True, default=False,
- help='Display detections to debug')
-@click.pass_context
-def cli(ctx, opt_fp_in, opt_fp_out, opt_gpu, opt_size, opt_force, opt_display):
- """Face detector demo"""
-
- import sys
- import os
- from os.path import join
- from pathlib import Path
- import time
-
- from tqdm import tqdm
- import numpy as np
- import pandas as pd
- import cv2 as cv
- import dlib
-
- from app.utils import logger_utils, file_utils, im_utils, display_utils, draw_utils
- from app.utils import plot_utils
- from app.processors import face_detector, face_landmarks
- from app.models.data_store import DataStore
-
-
- log = logger_utils.Logger.getLogger()
-
-
- # -------------------------------------------------
- # load image
-
- im = cv.imread(opt_fp_in)
- im_resized = im_utils.resize(im, width=opt_size[0], height=opt_size[1])
-
-
- # ----------------------------------------------------------------------------
- # detect face
-
- face_detector = face_detector.DetectorDLIBCNN(gpu=opt_gpu) # -1 for CPU
- bboxes = face_detector.detect(im_resized, largest=True)
- bbox = bboxes[0]
- dim = im_resized.shape[:2][::-1]
- bbox_dim = bbox.to_dim(dim)
- if not bbox:
- log.error('no face detected')
- return
-
-
- # ----------------------------------------------------------------------------
- # generate 68 point landmarks using dlib
-
- from app.processors import face_landmarks
- landmark_detector_2d_68 = face_landmarks.Dlib2D_68()
- points_2d_68 = landmark_detector_2d_68.landmarks(im_resized, bbox_dim)
-
-
- # ----------------------------------------------------------------------------
- # generate pose from 68 point 2D landmarks
-
- from app.processors import face_pose
- pose_detector = face_pose.FacePoseDLIB()
- pose_data = pose_detector.pose(points_2d_68, dim)
-
- # ----------------------------------------------------------------------------
- # output
-
- log.info(f'Face coords: {bbox_dim} face')
- log.info(f'pitch: {pose_data["pitch"]}, roll: {pose_data["roll"]}, yaw: {pose_data["yaw"]}')
-
-
- # ----------------------------------------------------------------------------
- # draw
-
- # draw 2d landmarks
- im_landmarks_2d_68 = im_resized.copy()
- draw_utils.draw_landmarks2D(im_landmarks_2d_68, points_2d_68)
- draw_utils.draw_bbox(im_landmarks_2d_68, bbox_dim)
-
- # draw pose
- im_pose = im_resized.copy()
- draw_utils.draw_pose(im_pose, pose_data['point_nose'], pose_data['points'])
- draw_utils.draw_degrees(im_pose, pose_data)
-
-
- # ----------------------------------------------------------------------------
- # save
-
- if opt_fp_out:
- # save pose only
- cv.imwrite(opt_fp_out, im_pose)
-
-
- # ----------------------------------------------------------------------------
- # display
-
- if opt_display:
-
-
- # show all images here
- cv.imshow('Original', im_resized)
- cv.imshow('2D 68PT Landmarks', im_landmarks_2d_68)
- cv.imshow('Pose', im_pose)
- display_utils.handle_keyboard() \ No newline at end of file