import click 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=True, 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_age_gender 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.DetectorCVDNN() bboxes = face_detector.detect(im_resized, largest=True) bbox_norm = bboxes[0] dim = im_resized.shape[:2][::-1] bbox_dim = bbox_norm.to_dim(dim) if not bbox_norm: log.error('no face detected') return else: log.info(f'face detected: {bbox_dim.to_xyxy()}') # ---------------------------------------------------------------------------- # age # real age_real_predictor = face_age_gender.FaceAgeReal() st = time.time() age_real = age_real_predictor.predict(im_resized, bbox_norm) log.info(f'age real took: {(time.time()-st)/1000:.5f}s') # apparent age_apparent_predictor = face_age_gender.FaceAgeApparent() st = time.time() age_apparent = age_apparent_predictor.predict(im_resized, bbox_norm) log.info(f'age apparent took: {(time.time()-st)/1000:.5f}s') # gender gender_predictor = face_age_gender.FaceGender() st = time.time() gender = gender_predictor.predict(im_resized, bbox_norm) log.info(f'gender took: {(time.time()-st)/1000:.5f}s') # ethnicity # TODO # ---------------------------------------------------------------------------- # output log.info(f'Face coords: {bbox_dim} face') log.info(f'Age (real): {(age_real):.2f}') log.info(f'Age (apparent): {(age_apparent):.2f}') log.info(f'gender: {gender}') # ---------------------------------------------------------------------------- # draw # draw real age im_age_real = im_resized.copy() im_age_real = draw_utils.draw_bbox(im_age_real, bbox_norm) txt = f'{(age_real):.2f}' im_age_real = draw_utils.draw_text(im_age_real, bbox_norm.pt_tl, txt) # apparent age im_age_apparent = im_resized.copy() im_age_apparent = draw_utils.draw_bbox(im_age_apparent, bbox_norm) txt = f'{(age_apparent):.2f}' im_age_apparent = draw_utils.draw_text(im_age_apparent, bbox_norm.pt_tl, txt) # gender im_gender = im_resized.copy() im_gender = draw_utils.draw_bbox(im_gender, bbox_norm) txt = f"M: {gender['m']:.2f}, F: {gender['f']:.2f}" im_gender = draw_utils.draw_text(im_gender, (.1, .9), txt) # ---------------------------------------------------------------------------- # save if opt_fp_out: # save pose only fpp_out = Path(opt_fp_out) fp_out = join(fpp_out.parent, f'{fpp_out.stem}_real{fpp_out.suffix}') cv.imwrite(fp_out, im_age_real) fp_out = join(fpp_out.parent, f'{fpp_out.stem}_apparent{fpp_out.suffix}') cv.imwrite(fp_out, im_age_apparent) fp_out = join(fpp_out.parent, f'{fpp_out.stem}_gender{fpp_out.suffix}') cv.imwrite(fp_out, im_age_apparent) # ---------------------------------------------------------------------------- # display if opt_display: # show all images here cv.imshow('real', im_age_real) cv.imshow('apparent', im_age_apparent) cv.imshow('gender', im_gender) display_utils.handle_keyboard()