Exemplo n.º 1
0
def main():

    while True:
        connection = True
        time.sleep(1)
        try:
            urllib2.urlopen(mirror())
        except urllib2.URLError:
            connection = False
        if connection:
            Notify().show()
            time.sleep(60 * int(config()["INTERVAL"]))
Exemplo n.º 2
0
def main():

    while True:
        connection = True
        time.sleep(1)
        try:
            urllib2.urlopen(mirror())
        except urllib2.URLError:
            connection = False
        except ValueError:
            pass
        if connection:
            Notify().show()
            time.sleep(60 * int(config()["INTERVAL"]))
Exemplo n.º 3
0
def prov_mirror_2(x):
    return utils.mirror(x, 2, np.random.randint(2))
for rep_i in range(data_replica):
    copyfile(images_labels_path+image_labels_file_name+'.txt',
             images_labels_path+image_labels_file_name+'_rep_'+str(rep_i)+'.txt')
    # open the replicate image labels file
    rep_image_label_file = open(images_labels_path+image_labels_file_name+'_rep_'+str(rep_i)+'.txt','a')

    # do the mirror
    # int(augment_fraction*train_image_num)
    aug_idxs = np.random.choice(train_image_num, int(augment_fraction*train_image_num), replace=False)+1
    for augidx in aug_idxs:
        filename = str(augidx)+'.png'
        pair = train_image_labels[augidx-1].split(' ')
        print 'regenerating '+pair[0]+' with label '+pair[1]
        image = skimage.io.imread(Image_Path+filename)
        transformed_img = mirror(image)
        skimage.io.imsave(Image_Path+str(next_image_num)+'.png',transformed_img)
        rep_image_label_file.write(str(next_image_num)+'.png '+pair[1].split('\n')[0]+'\n')
        next_image_num += 1

    # do random crop
    # int(augment_fraction*train_image_num)
    aug_idxs = np.random.choice(train_image_num, int(augment_fraction*train_image_num), replace=False)+1
    for augidx in aug_idxs:
        filename = str(augidx)+'.png'
        pair = train_image_labels[augidx-1].split(' ')
        print 'regenerating '+pair[0]+' with label '+pair[1]
        image = skimage.io.imread(Image_Path+filename)
        transformed_img = random_crop(image)
        skimage.io.imsave(Image_Path+str(next_image_num)+'.png',transformed_img)
        rep_image_label_file.write(str(next_image_num)+'.png '+pair[1].split('\n')[0]+'\n')
Exemplo n.º 5
0
def main(frame):
    # Flip the frame for ease of understanding
    frame = utils.mirror(frame)
    # Add tablature to frame in LR corner
    frame = utils.addtext(frame, get_tab(frame), 'lr')
    return frame