Exemple #1
0
    def testDetectLandmarks(self):
        input_file = os.path.abspath(
            './resources/landmarks/Fayssal_Mekdad_0002.jpg')
        fidu_file = input_file.replace('.jpg', '.cfidu')
        if os.path.exists(fidu_file):
            os.remove(fidu_file)

        detect_landmarks(fname=input_file)
        fidu_score, yaw_angle, fidu_points = read_fidu(fidu_file)

        self.assertEqual(fidu_score, 252)
        self.assertEqual(yaw_angle, 0)

        img = cv2.imread(input_file)
        draw_fidu(img, fidu_points)
        cv2.imshow('landmarks', img)
        cv2.waitKey()

        if os.path.exists(fidu_file):
            os.remove(fidu_file)

        detect_landmarks(fname=input_file, max_size=160 * 160)
        fidu_score, yaw_angle, fidu_points = read_fidu(fidu_file)

        print "new fidu score is", fidu_score
        self.assertGreater(fidu_score, 200)
        self.assertEqual(yaw_angle, 0)

        img = cv2.imread(input_file)
        draw_fidu(img, fidu_points)
        cv2.imshow('landmarks, detected on reduced image', img)
        cv2.waitKey()
    def testDetectLandmarks(self):
        input_file = os.path.abspath("./resources/landmarks/Fayssal_Mekdad_0002.jpg")
        fidu_file = input_file.replace(".jpg", ".cfidu")
        if os.path.exists(fidu_file):
            os.remove(fidu_file)

        detect_landmarks(fname=input_file)
        fidu_score, yaw_angle, fidu_points = read_fidu(fidu_file)

        self.assertEqual(fidu_score, 252)
        self.assertEqual(yaw_angle, 0)

        img = cv2.imread(input_file)
        draw_fidu(img, fidu_points)
        cv2.imshow("landmarks", img)
        cv2.waitKey()

        if os.path.exists(fidu_file):
            os.remove(fidu_file)

        detect_landmarks(fname=input_file, max_size=160 * 160)
        fidu_score, yaw_angle, fidu_points = read_fidu(fidu_file)

        print "new fidu score is", fidu_score
        self.assertGreater(fidu_score, 200)
        self.assertEqual(yaw_angle, 0)

        img = cv2.imread(input_file)
        draw_fidu(img, fidu_points)
        cv2.imshow("landmarks, detected on reduced image", img)
        cv2.waitKey()
Exemple #3
0
    def align_faces(self,
                    input_images,
                    output_path,
                    fidu_max_size=None,
                    fidu_min_size=None,
                    is_align=True,
                    is_draw_fidu=False,
                    delete_no_fidu=False):
        '''
        input_images - can be either a folder (all *.jpgs in it) or a list of filenames
        
        , fidu_max_size = None, fidu_min_size = None):
        '''
        if type(input_images) == type(''):
            input_images = glob.glob(os.path.join(input_images, '*.jpg'))

        for input_image in input_images:
            detect_landmarks(fname=os.path.abspath(input_image),
                             max_size=fidu_max_size,
                             min_size=fidu_min_size,
                             fidu_exec_dir=self.fidu_exec_dir)

            fidu_file = input_image.rsplit('.', 1)[0] + '.cfidu'
            fidu_score, yaw_angle, fidu_points = read_fidu(fidu_file)

            if not (fidu_score is not None and yaw_angle in self.valid_angles):
                # skip face
                if delete_no_fidu:
                    try:
                        os.remove(fidu_file)
                        os.remove(input_image)
                    except:
                        continue
                continue

            if is_align:
                # save the aligned image
                sub_img = cv2.imread(input_image)
                _, base_fname = os.path.split(input_image)
                aligned_img, R = self.aligner.align(sub_img, fidu_points)
                aligned_img_file = os.path.join(
                    output_path,
                    base_fname.rsplit('.', 1)[0] + '.aligned.png')
                cv2.imwrite(aligned_img_file, aligned_img)

                # save a copy of the aligned image, with the landmarks drawn
                if is_draw_fidu:
                    aligned_img_file = os.path.join(
                        output_path,
                        base_fname.rsplit('.', 1)[0] +
                        '.aligned.withpoints.png')
                    fidu_points_in_aligned = unwarp_fidu(
                        orig_fidu_points=fidu_points, unwarp_mat=R)
                    draw_fidu(aligned_img,
                              fidu_points_in_aligned,
                              radius=9,
                              color=(255, 0, 0),
                              thickness=3)
                    cv2.imwrite(aligned_img_file, aligned_img)
Exemple #4
0
 def align_faces(self, input_images, output_path, fidu_max_size = None, fidu_min_size = None, is_align = True, is_draw_fidu = False, delete_no_fidu = False):
     '''
     input_images - can be either a folder (all *.jpgs in it) or a list of filenames
     
     , fidu_max_size = None, fidu_min_size = None):
     '''
     if type(input_images) == type(''):
         input_images = glob.glob(os.path.join(input_images, '*.jpg'))
     
     for input_image in input_images:
         detect_landmarks(fname = os.path.abspath(input_image),
                              max_size = fidu_max_size,
                              min_size = fidu_min_size,
                              fidu_exec_dir = self.fidu_exec_dir)
         
         fidu_file = input_image.rsplit('.',1)[0] + '.cfidu'
         fidu_score, yaw_angle, fidu_points = read_fidu(fidu_file)
         
         if not (fidu_score is not None and yaw_angle in self.valid_angles):
             # skip face
             if delete_no_fidu:
                 try:
                     os.remove(fidu_file)
                     os.remove(input_image)
                 except:
                     continue
             continue
         
         if is_align:
             # save the aligned image
             sub_img = cv2.imread(input_image)
             _, base_fname = os.path.split(input_image) 
             aligned_img, R = self.aligner.align(sub_img, fidu_points)
             aligned_img_file = os.path.join(output_path, base_fname.rsplit('.',1)[0] + '.aligned.png')
             cv2.imwrite(aligned_img_file, aligned_img)
             
             # save a copy of the aligned image, with the landmarks drawn
             if is_draw_fidu:
                 aligned_img_file = os.path.join(output_path, base_fname.rsplit('.',1)[0] + '.aligned.withpoints.png') 
                 fidu_points_in_aligned = unwarp_fidu(orig_fidu_points = fidu_points, unwarp_mat = R)
                 draw_fidu(aligned_img, fidu_points_in_aligned, radius = 9, color = (255,0,0), thickness = 3)
                 cv2.imwrite(aligned_img_file, aligned_img)
 def testAffineAlign(self):
     aligner = AffineAligner(fidu_model_file = '../resources/model_ang_0.txt')
     
     img_files = ['./resources/affine_align/Meryl_Streep_0013.jpg', './resources/affine_align/Fayssal_Mekdad_0002.jpg']
     for img_file in img_files:
         img_file = os.path.abspath(img_file)
         detect_landmarks(fname = img_file)
     
         fidu_file = img_file.replace('.jpg','.cfidu')
         img = cv2.imread(img_file)
         score, yaw_angle, fidu_points = read_fidu(fidu_file)
         aligned_img, R = aligner.align(img, fidu_points)
         
         aligned_img_cpy = aligned_img.copy()
         draw_fidu(img, fidu_points)
         fidu_points_in_aligned = unwarp_fidu(orig_fidu_points = fidu_points, unwarp_mat = R)
         draw_fidu(aligned_img_cpy, fidu_points_in_aligned, radius = 9, color = (255,0,0), thickness = 3)
         
         cv2.imshow('padded_face with landmarks', img)
         cv2.imshow('aligned_face', cv2.resize(aligned_img, (320,320), interpolation = cv2.INTER_CUBIC))
         cv2.imshow('aligned_face with landmarks', cv2.resize(aligned_img_cpy, (320,320), interpolation = cv2.INTER_CUBIC))
         cv2.waitKey()
    def testAffineAlign(self):
        aligner = AffineAligner(fidu_model_file='../resources/model_ang_0.txt')

        img_files = [
            './resources/affine_align/Meryl_Streep_0013.jpg',
            './resources/affine_align/Fayssal_Mekdad_0002.jpg'
        ]
        for img_file in img_files:
            img_file = os.path.abspath(img_file)
            detect_landmarks(fname=img_file)

            fidu_file = img_file.replace('.jpg', '.cfidu')
            img = cv2.imread(img_file)
            score, yaw_angle, fidu_points = read_fidu(fidu_file)
            aligned_img, R = aligner.align(img, fidu_points)

            aligned_img_cpy = aligned_img.copy()
            draw_fidu(img, fidu_points)
            fidu_points_in_aligned = unwarp_fidu(orig_fidu_points=fidu_points,
                                                 unwarp_mat=R)
            draw_fidu(aligned_img_cpy,
                      fidu_points_in_aligned,
                      radius=9,
                      color=(255, 0, 0),
                      thickness=3)

            cv2.imshow('padded_face with landmarks', img)
            cv2.imshow(
                'aligned_face',
                cv2.resize(aligned_img, (320, 320),
                           interpolation=cv2.INTER_CUBIC))
            cv2.imshow(
                'aligned_face with landmarks',
                cv2.resize(aligned_img_cpy, (320, 320),
                           interpolation=cv2.INTER_CUBIC))
            cv2.waitKey()