Python IMDB.append_flipped_images Examples

Example #1

File: train_P_net.py Project: trafficdetect/cascaded_traffic_sign

def train_P_net(image_set, root_path, dataset_path, prefix, end_epoch,
                frequent, lr):
    imdb = IMDB(data_name, image_set, root_path, dataset_path)
    gt_imdb = imdb.gt_imdb()
    gt_imdb = imdb.append_flipped_images(gt_imdb)
    sym = P_Net

    train_net(sym, prefix, end_epoch, gt_imdb, 12, frequent, lr)

Example #2

def train_O_net(image_set, root_path, dataset_path, prefix, ctx, pretrained,
                epoch, begin_epoch, end_epoch, frequent, lr, resume):
    imdb = IMDB("mtcnn", image_set, root_path, dataset_path)
    gt_imdb = imdb.gt_imdb()
    gt_imdb = imdb.append_flipped_images(gt_imdb)
    sym = O_Net()

    train_net(sym, prefix, ctx, pretrained, epoch, begin_epoch, end_epoch,
              gt_imdb, 48, frequent, not resume, lr)

Example #3

File: train_O_net.py Project: kidkid168/mtcnn

def train_O_net(image_set, root_path, dataset_path, prefix, ctx,
                pretrained, epoch, begin_epoch,
                end_epoch, frequent, lr, resume):
    imdb = IMDB("mtcnn", image_set, root_path, dataset_path)
    gt_imdb = imdb.gt_imdb()
    gt_imdb = imdb.append_flipped_images(gt_imdb)
    sym = O_Net()

    train_net(sym, prefix, ctx, pretrained, epoch, begin_epoch, end_epoch, gt_imdb,
              48, frequent, not resume, lr)

Example #4

File: train_R_net.py Project: sysau/train-mtcnn

def train_R_net(image_set, root_path, dataset_path, prefix, ctx,
                pretrained, epoch, begin_epoch, end_epoch, batch_size, thread_num,
                frequent, lr, lr_epoch, resume):
    imdb = IMDB("mtcnn", image_set, root_path, dataset_path)
    gt_imdb = imdb.gt_imdb()
    gt_imdb = imdb.append_flipped_images(gt_imdb)
    sym = R_Net()

    train_net(sym, prefix, ctx, pretrained, epoch, begin_epoch, end_epoch, gt_imdb, batch_size, thread_num,
              24, frequent, not resume, lr, lr_epoch)

Example #5

File: train_GA_112.py Project: gwb205/GenderAgem_mxnet

def train_GA_net(mode, image_set, root_path, dataset_path, prefix, ctx,
                 pretrained, epoch, begin_epoch, end_epoch, batch_size,
                 thread_num, frequent, lr, lr_epoch, resume):
    imdb = IMDB("GA", 112, image_set, root_path, dataset_path)
    gt_imdb = imdb.gt_imdb()
    gt_imdb = imdb.append_flipped_images(gt_imdb)
    sym = GA_Net112(mode, batch_size)

    train_net(mode, sym, prefix, ctx, pretrained, epoch, begin_epoch,
              end_epoch, gt_imdb, batch_size, thread_num, 112, 112, frequent,
              not resume, lr, lr_epoch)