#!/usr/bin/env python
"""
- Copyright (c) 2018 Intel Corporation
+ Copyright (C) 2018-2019 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
from __future__ import print_function
import sys
import os
-from argparse import ArgumentParser
+from argparse import ArgumentParser, SUPPRESS
import cv2
import numpy as np
import logging as log
def build_argparser():
- parser = ArgumentParser()
- parser.add_argument("-m", "--model", help="Path to an .xml file with a trained model.", required=True, type=str)
- parser.add_argument("-i", "--input", help="Path to a folder with images or path to an image files", required=True,
- type=str, nargs="+")
- parser.add_argument("-l", "--cpu_extension",
- help="MKLDNN (CPU)-targeted custom layers.Absolute path to a shared library with the kernels "
- "impl.", type=str, default=None)
- parser.add_argument("-pp", "--plugin_dir", help="Path to a plugin folder", type=str, default=None)
- parser.add_argument("-d", "--device",
- help="Specify the target device to infer on; CPU, GPU, FPGA or MYRIAD is acceptable. Sample "
- "will look for a suitable plugin for device specified (CPU by default)", default="CPU",
- type=str)
- parser.add_argument("--labels", help="Labels mapping file", default=None, type=str)
- parser.add_argument("-nt", "--number_top", help="Number of top results", default=10, type=int)
- parser.add_argument("-ni", "--number_iter", help="Number of inference iterations", default=1, type=int)
- parser.add_argument("-pc", "--perf_counts", help="Report performance counters", default=False, action="store_true")
+ parser = ArgumentParser(add_help=False)
+ args = parser.add_argument_group('Options')
+ args.add_argument('-h', '--help', action='help', default=SUPPRESS, help='Show this help message and exit.')
+ args.add_argument("-m", "--model", help="Required. Path to an .xml file with a trained model.",
+ required=True, type=str)
+ args.add_argument("-i", "--input", help="Required. Path to a folder with images or path to an image files",
+ required=True, type=str, nargs="+")
+ args.add_argument("-l", "--cpu_extension",
+ help="Optional. Required for CPU custom layers. Absolute path to a shared library with the"
+ " kernels implementations.", type=str, default=None)
+ args.add_argument("-pp", "--plugin_dir", help="Optional. Path to a plugin folder", type=str, default=None)
+ args.add_argument("-d", "--device",
+ help="Optional. Specify the target device to infer on; CPU, GPU, FPGA, HDDL or MYRIAD is "
+ "acceptable. The sample will look for a suitable plugin for device specified. Default value is CPU",
+ default="CPU", type=str)
+ args.add_argument("--labels", help="Optional. Labels mapping file", default=None, type=str)
+ args.add_argument("-nt", "--number_top", help="Optional. Number of top results", default=10, type=int)
+ args.add_argument("-ni", "--number_iter", help="Optional. Number of inference iterations", default=1, type=int)
+ args.add_argument("-pc", "--perf_counts", help="Optional. Report performance counters",
+ default=False, action="store_true")
return parser
# Loading model to the plugin
log.info("Loading model to the plugin")
exec_net = plugin.load(network=net)
- del net
# Start sync inference
log.info("Starting inference ({} iterations)".format(args.number_iter))
labels_map = [x.split(sep=' ', maxsplit=1)[-1].strip() for x in f]
else:
labels_map = None
+ classid_str = "classid"
+ probability_str = "probability"
for i, probs in enumerate(res):
probs = np.squeeze(probs)
top_ind = np.argsort(probs)[-args.number_top:][::-1]
print("Image {}\n".format(args.input[i]))
+ print(classid_str, probability_str)
+ print("{} {}".format('-' * len(classid_str), '-' * len(probability_str)))
for id in top_ind:
- det_label = labels_map[id] if labels_map else "#{}".format(id)
- print("{:.7f} {}".format(probs[id], det_label))
+ det_label = labels_map[id] if labels_map else "{}".format(id)
+ label_length = len(det_label)
+ space_num_before = (7 - label_length) // 2
+ space_num_after = 7 - (space_num_before + label_length) + 2
+ space_num_before_prob = (11 - len(str(probs[id]))) // 2
+ print("{}{}{}{}{:.7f}".format(' ' * space_num_before, det_label,
+ ' ' * space_num_after, ' ' * space_num_before_prob,
+ probs[id]))
print("\n")
- del exec_net
- del plugin
-
if __name__ == '__main__':
sys.exit(main() or 0)