def extract_texels(trainset, border, distance_threshold, num_features, logger, pipe):
texels = []
tm = TimeManager(logger)
logger.info("sp> Extracting texels in different process")
for path in trainset:
img = Image.open(path)
data = np.array(img)
texels += Features.cutimage(data, border)
tm.tick()
logger.info('sp> {0} potential features'.format(len(texels)))
logger.info('sp> updating feature list')
features = []
features = Features.update_feature_list(features, texels, distance_threshold, num_features)
logger.info('sp> {0} features after update'.format(len(features)))
tm.tick()
logger.info("sp> Sending features to pipe")
pipe.send(features)
pipe.close()
