| import argparse |
| import tools.find_mxnet |
| import mxnet as mx |
| import os |
| import sys |
| from evaluate.evaluate_net import evaluate_net |
| |
| def parse_args(): |
| parser = argparse.ArgumentParser(description='Evaluate a network') |
| parser.add_argument('--rec-path', dest='rec_path', help='which record file to use', |
| default=os.path.join(os.getcwd(), 'data', 'val.rec'), type=str) |
| parser.add_argument('--list-path', dest='list_path', help='which list file to use', |
| default="", type=str) |
| parser.add_argument('--network', dest='network', type=str, default='vgg16_reduced', |
| help='which network to use') |
| parser.add_argument('--batch-size', dest='batch_size', type=int, default=32, |
| help='evaluation batch size') |
| parser.add_argument('--num-class', dest='num_class', type=int, default=20, |
| help='number of classes') |
| parser.add_argument('--class-names', dest='class_names', type=str, |
| default='aeroplane, bicycle, bird, boat, bottle, bus, \ |
| car, cat, chair, cow, diningtable, dog, horse, motorbike, \ |
| person, pottedplant, sheep, sofa, train, tvmonitor', |
| help='string of comma separated names, or text filename') |
| parser.add_argument('--epoch', dest='epoch', help='epoch of pretrained model', |
| default=0, type=int) |
| parser.add_argument('--prefix', dest='prefix', help='load model prefix', |
| default=os.path.join(os.getcwd(), 'model', 'ssd_'), type=str) |
| parser.add_argument('--gpus', dest='gpu_id', help='GPU devices to evaluate with', |
| default='0', type=str) |
| parser.add_argument('--cpu', dest='cpu', help='use cpu to evaluate, this can be slow', |
| action='store_true') |
| parser.add_argument('--data-shape', dest='data_shape', type=int, default=300, |
| help='set image shape') |
| parser.add_argument('--mean-r', dest='mean_r', type=float, default=123, |
| help='red mean value') |
| parser.add_argument('--mean-g', dest='mean_g', type=float, default=117, |
| help='green mean value') |
| parser.add_argument('--mean-b', dest='mean_b', type=float, default=104, |
| help='blue mean value') |
| parser.add_argument('--nms', dest='nms_thresh', type=float, default=0.45, |
| help='non-maximum suppression threshold') |
| parser.add_argument('--overlap', dest='overlap_thresh', type=float, default=0.5, |
| help='evaluation overlap threshold') |
| parser.add_argument('--force', dest='force_nms', type=bool, default=False, |
| help='force non-maximum suppression on different class') |
| parser.add_argument('--use-difficult', dest='use_difficult', type=bool, default=False, |
| help='use difficult ground-truths in evaluation') |
| parser.add_argument('--voc07', dest='use_voc07_metric', type=bool, default=True, |
| help='use PASCAL VOC 07 metric') |
| parser.add_argument('--deploy', dest='deploy_net', help='Load network from model', |
| action='store_true', default=False) |
| args = parser.parse_args() |
| return args |
| |
| if __name__ == '__main__': |
| args = parse_args() |
| # choose ctx |
| if args.cpu: |
| ctx = mx.cpu() |
| else: |
| ctx = [mx.gpu(int(i)) for i in args.gpu_id.split(',')] |
| # parse # classes and class_names if applicable |
| num_class = args.num_class |
| if len(args.class_names) > 0: |
| if os.path.isfile(args.class_names): |
| # try to open it to read class names |
| with open(args.class_names, 'r') as f: |
| class_names = [l.strip() for l in f.readlines()] |
| else: |
| class_names = [c.strip() for c in args.class_names.split(',')] |
| assert len(class_names) == num_class |
| for name in class_names: |
| assert len(name) > 0 |
| else: |
| class_names = None |
| |
| network = None if args.deploy_net else args.network |
| if args.prefix.endswith('_'): |
| prefix = args.prefix + args.network |
| else: |
| prefix = args.prefix |
| evaluate_net(network, args.rec_path, num_class, |
| (args.mean_r, args.mean_g, args.mean_b), args.data_shape, |
| prefix, args.epoch, ctx, batch_size=args.batch_size, |
| path_imglist=args.list_path, nms_thresh=args.nms_thresh, |
| force_nms=args.force_nms, ovp_thresh=args.overlap_thresh, |
| use_difficult=args.use_difficult, class_names=class_names, |
| voc07_metric=args.use_voc07_metric) |