def attach_roidb(imdb_names):
"""
only implement single roidb now
"""
roidbs = [get_roidb(s) for s in imdb_names.split('+')]
roidb = roidbs[0]
if len(roidbs) > 1:
raise NotImplementedError
else:
imdb = get_imdb(imdb_names)
return imdb, roidb
def attach_roidb(imdb_names):
"""
only implement single roidb now
"""
roidbs = [get_roidb(s) for s in imdb_names.split('+')]
roidb = roidbs[0]
if len(roidbs) > 1:
raise NotImplementedError
else:
imdb = get_imdb(imdb_names)
return imdb, roidb
def attach_maskdb(imdb_names):
"""
only implement single maskdb now
"""
maskdbs = [get_maskdb(s) for s in imdb_names.split('+')]
maskdb = maskdbs[0]
if len(maskdbs) > 1:
raise NotImplementedError
else:
imdb = get_imdb(imdb_names)
return imdb, maskdb
def attach_maskdb(imdb_names):
"""
only implement single maskdb now
"""
maskdbs = [get_maskdb(s) for s in imdb_names.split('+')]
maskdb = maskdbs[0]
if len(maskdbs) > 1:
raise NotImplementedError
else:
imdb = get_imdb(imdb_names)
return imdb, maskdb
def get_maskdb(imdb_name):
imdb = get_imdb(imdb_name)
print 'Loaded dataset `{:s}` for training'.format(imdb.name)
# Here set handler function. (e.g. gt_roidb in faster RCNN)
imdb.set_roi_handler(cfg.TRAIN.PROPOSAL_METHOD)
imdb.set_mask_handler(cfg.TRAIN.PROPOSAL_METHOD)
print 'Set proposal method: {:s}'.format(cfg.TRAIN.PROPOSAL_METHOD)
if cfg.TRAIN.USE_FLIPPED:
print 'Appending horizontally-flipped training examples...'
imdb.append_flipped_masks()
print 'done'
return imdb.maskdb
def get_maskdb(imdb_name):
imdb = get_imdb(imdb_name)
print 'Loaded dataset `{:s}` for training'.format(imdb.name)
# Here set handler function. (e.g. gt_roidb in faster RCNN)
imdb.set_roi_handler(cfg.TRAIN.PROPOSAL_METHOD)
imdb.set_mask_handler(cfg.TRAIN.PROPOSAL_METHOD)
print 'Set proposal method: {:s}'.format(cfg.TRAIN.PROPOSAL_METHOD)
if cfg.TRAIN.USE_FLIPPED:
print 'Appending horizontally-flipped training examples...'
imdb.append_flipped_masks()
print 'done'
return imdb.maskdb
sys.exit(1)
return parser.parse_args()
if __name__ == '__main__':
args = parse_args()
print('Called with args:')
print(args)
if args.cfg_file is not None:
cfg_from_file(args.cfg_file)
cfg.GPU_ID = args.gpu_id
print('Using config:')
pprint.pprint(cfg)
while not os.path.exists(args.caffemodel) and args.wait:
print('Waiting for {} to exist...'.format(args.caffemodel))
time.sleep(10)
caffe.set_mode_gpu()
caffe.set_device(args.gpu_id)
imdb = get_imdb(args.imdb_name)
_tester = TesterWrapper(args.prototxt, imdb, args.caffemodel,
args.task_name)
_tester.get_result()
parser.print_help()
sys.exit(1)
return parser.parse_args()
if __name__ == '__main__':
args = parse_args()
print('Called with args:')
print(args)
if args.cfg_file is not None:
cfg_from_file(args.cfg_file)
cfg.GPU_ID = args.gpu_id
print('Using config:')
pprint.pprint(cfg)
while not os.path.exists(args.caffemodel) and args.wait:
print('Waiting for {} to exist...'.format(args.caffemodel))
time.sleep(10)
caffe.set_mode_gpu()
caffe.set_device(args.gpu_id)
imdb = get_imdb(args.imdb_name)
_tester = TesterWrapper(args.prototxt, imdb, args.caffemodel, args.task_name)
_tester.get_result()