)
parser.add_argument('--output-dir',
help = 'Path of the output images dir'
, dest = 'images_path'
, default = "output_images"
)
parser.add_argument('--run-all',
help = 'Ran all the sims'
, dest = 'run_all'
, default = 'false'
, action = 'store_true'
)
parser.add_argument('--cores',
help = 'Number of cores to use. All by default'
, dest = 'cores'
, default = get_cores()
)
args = parser.parse_args()
path = args.path
#Read ANALYSIS file
fname = args.analysis_file
with open(fname) as f:
content = f.readlines()
cprint("Total files provided: %s; Number of cores: %s" % (len(content), args.cores), 'info')
is_folder(args.images_path)
real_content = []
# existing = listdir(args.images_path) #Slower than isfile
dest='start_ms',
default=False
)
parser.add_argument('--stop-ms',
help='Stop analysis at this ms. Stop to 0 if none given\
Don\t run any other analysis',
dest='end_ms',
default=False
)
args = parser.parse_args()
if args.images_only or args.save_images:
import plugins.images.IO as ImageIO
core_number = int(args.core_number) if args.core_number else get_cores()
path = args.path
start_from = int(args.start_from)
end_to = int(args.end_to)
outputs, total = list_all(path, start_from, end_to)
split_range = (args.start_ms, args.end_ms)
#Update index
loop = start_from - 1 if start_from else 0
info_print(total, core_number, args.number_only)
dispatch_jobs(outputs, core_number, main_loop, split_range=split_range)
