fix default loading path

demo.py

@@ -2,7 +2,6 @@
 import tools.find_mxnet
 import mxnet as mx
 import os
-import importlib
 import sys
 from detect.detector import Detector
 from symbol.symbol_factory import get_symbol
@@ -52,7 +51,7 @@ def parse_args():
     parser.add_argument('--epoch', dest='epoch', help='epoch of trained model',
                         default=0, type=int)
     parser.add_argument('--prefix', dest='prefix', help='trained model prefix',
-                        default=os.path.join(os.getcwd(), 'model', 'ssd_vgg16_reduced_300'),
+                        default=os.path.join(os.getcwd(), 'model', 'ssd_'),
                         type=str)
     parser.add_argument('--cpu', dest='cpu', help='(override GPU) use CPU to detect',
                         action='store_true', default=False)
@@ -112,7 +111,8 @@ def parse_class_names(class_names):
 
     network = None if args.deploy_net else args.network
     class_names = parse_class_names(args.class_names)
-    detector = get_detector(network, args.prefix, args.epoch,
+    prefix = args.prefix + args.network + '_' + str(args.data_shape)
+    detector = get_detector(network, prefix, args.epoch,
                             args.data_shape,
                             (args.mean_r, args.mean_g, args.mean_b),
                             ctx, len(class_names), args.nms_thresh, args.force_nms)

deploy.py

@@ -9,12 +9,12 @@
 
 def parse_args():
     parser = argparse.ArgumentParser(description='Convert a trained model to deploy model')
-    parser.add_argument('--network', dest='network', type=str, default='vgg16_ssd_300',
-                        choices=['vgg16_ssd_300', 'vgg16_ssd_512'], help='which network to use')
+    parser.add_argument('--network', dest='network', type=str, default='vgg16_reduced',
+                        help='which network to use')
     parser.add_argument('--epoch', dest='epoch', help='epoch of trained model',
                         default=0, type=int)
     parser.add_argument('--prefix', dest='prefix', help='trained model prefix',
-                        default=os.path.join(os.getcwd(), 'model', 'ssd_300'), type=str)
+                        default=os.path.join(os.getcwd(), 'model', 'ssd_'), type=str)
     parser.add_argument('--data-shape', dest='data_shape', type=int, default=300,
                         help='data shape')
     parser.add_argument('--num-class', dest='num_classes', help='number of classes',
@@ -33,7 +33,8 @@ def parse_args():
     net = get_symbol(args.network).get_symbol(args.network, args.data_shape,
         num_classes=args.num_classes, nms_thresh=args.nms_thresh,
         force_suppress=args.force_nms, nms_topk=args.nms_topk)
-    _, arg_params, aux_params = mx.model.load_checkpoint(args.prefix, args.epoch)
+    prefix = args.prefix + args.network + '_' + str(args.data_shape)
+    _, arg_params, aux_params = mx.model.load_checkpoint(prefix, args.epoch)
     # new name
     tmp = args.prefix.rsplit('/', 1)
     save_prefix = '/deploy_'.join(tmp)

evaluate.py

@@ -11,8 +11,8 @@ def parse_args():
                         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_ssd_300',
-                        choices=['vgg16_ssd_300', 'vgg16_ssd_512'], help='which network to use')
+    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,
@@ -25,7 +25,7 @@ def parse_args():
     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)
+                        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',
@@ -78,7 +78,7 @@ def parse_args():
     network = None if args.deploy_net else args.network
     evaluate_net(network, args.rec_path, num_class,
                  (args.mean_r, args.mean_g, args.mean_b), args.data_shape,
-                 args.prefix, args.epoch, ctx, batch_size=args.batch_size,
+                 args.prefix + args.network, 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,