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Diffstat (limited to 'megapixels/app/server/tasks/fullmonte.py')
| -rw-r--r-- | megapixels/app/server/tasks/fullmonte.py | 199 |
1 files changed, 0 insertions, 199 deletions
diff --git a/megapixels/app/server/tasks/fullmonte.py b/megapixels/app/server/tasks/fullmonte.py deleted file mode 100644 index 8215656a..00000000 --- a/megapixels/app/server/tasks/fullmonte.py +++ /dev/null @@ -1,199 +0,0 @@ - -import sys -import os -from os.path import join -from pathlib import Path -import time - -import numpy as np -import cv2 as cv -import dlib -from PIL import Image -import matplotlib.pyplot as plt - -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 - -@celery.task(bind=True) -def fullmonte_task(self, uuid_name, fn): - # TOOD add selective testing - opt_run_pose = True - opt_run_2d_68 = True - opt_run_3d_68 = True - opt_run_3d_68 = True - - return - - # ------------------------------------------------- - # init here - - - 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 - log.info('detecting face...') - st = time.time() - 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 - else: - log.info(f'Detected face in {(time.time() - st):.2f}s') - log.info('') - - - # ---------------------------------------------------------------------------- - # detect 3D landmarks - - log.info('loading 3D landmark generator files...') - landmark_detector_3d_68 = face_landmarks.FaceAlignment3D_68(gpu=opt_gpu) # -1 for CPU - log.info('generating 3D landmarks...') - st = time.time() - points_3d_68 = landmark_detector_3d_68.landmarks(im_resized, bbox_dim.to_xyxy()) - log.info(f'generated 3D landmarks in {(time.time() - st):.2f}s') - log.info('') - - - # ---------------------------------------------------------------------------- - # generate 3D GIF animation - - log.info('generating 3D animation...') - if not opt_fp_out: - fpp_im = Path(opt_fp_in) - fp_out = join(fpp_im.parent, f'{fpp_im.stem}_anim.gif') - else: - fp_out = opt_fp_out - st = time.time() - plot_utils.generate_3d_landmark_anim(np.array(points_3d_68), fp_out, - size=opt_gif_size, num_frames=opt_gif_frames) - log.info(f'Generated animation in {(time.time() - st):.2f}s') - log.info(f'Saved to: {fp_out}') - log.info('') - - - # ---------------------------------------------------------------------------- - # generate face vectors, only to test if feature extraction works - - log.info('initialize face recognition model...') - from app.processors import face_recognition - face_rec = face_recognition.RecognitionDLIB() - st = time.time() - log.info('generating face vector...') - vec = face_rec.vec(im_resized, bbox_dim) - log.info(f'generated face vector in {(time.time() - st):.2f}s') - log.info('') - - - # ---------------------------------------------------------------------------- - # generate 68 point landmarks using dlib - - log.info('initializing face landmarks 68 dlib...') - from app.processors import face_landmarks - landmark_detector_2d_68 = face_landmarks.Dlib2D_68() - log.info('generating 2D 68PT landmarks...') - st = time.time() - points_2d_68 = landmark_detector_2d_68.landmarks(im_resized, bbox_dim) - log.info(f'generated 2D 68PT face landmarks in {(time.time() - st):.2f}s') - log.info('') - - - # ---------------------------------------------------------------------------- - # generate pose from 68 point 2D landmarks - - if opt_run_pose: - log.info('initialize pose...') - from app.processors import face_pose - pose_detector = face_pose.FacePoseDLIB() - log.info('generating pose...') - st = time.time() - pose_data = pose_detector.pose(points_2d_68, dim) - log.info(f'generated pose {(time.time() - st):.2f}s') - log.info('') - - - # ---------------------------------------------------------------------------- - # generate pose from 68 point 2D landmarks - - # done - self.log.debug('Add age real') - self.log.debug('Add age apparent') - self.log.debug('Add gender') - - - # 3DDFA - self.log.debug('Add depth') - self.log.debug('Add pncc') - - # TODO - self.log.debug('Add 3D face model') - self.log.debug('Add face texture flat') - self.log.debug('Add ethnicity') - - # display - if opt_display: - - # draw bbox - - # draw 3d landmarks - im_landmarks_3d_68 = im_resized.copy() - draw_utils.draw_landmarks3D(im_landmarks_3d_68, points_3d_68) - draw_utils.draw_bbox(im_landmarks_3d_68, bbox_dim) - - # 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 - if opt_run_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) - - # draw animated GIF - im = Image.open(fp_out) - im_frames = [] - duration = im.info['duration'] - try: - while True: - im.seek(len(im_frames)) - mypalette = im.getpalette() - im.putpalette(mypalette) - im_jpg = Image.new("RGB", im.size) - im_jpg.paste(im) - im_np = im_utils.pil2np(im_jpg.copy()) - im_frames.append(im_np) - except EOFError: - pass # end of GIF sequence - - n_frames = len(im_frames) - frame_number = 0 - - while True: - # show all images here - cv.imshow('Original', im_resized) - cv.imshow('2D 68PT Landmarks', im_landmarks_2d_68) - cv.imshow('3D 68PT Landmarks', im_landmarks_3d_68) - cv.imshow('Pose', im_pose) - cv.imshow('3D 68pt GIF', im_frames[frame_number]) - frame_number = (frame_number + 1) % n_frames - k = cv.waitKey(duration) & 0xFF - if k == 27 or k == ord('q'): # ESC - cv.destroyAllWindows() - sys.exit() - elif k != 255: - # any key to continue - break
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