Add inference support for efficientdet (#1345)

reuse RetinaNet pipeline for now

tools/export_model.py

@@ -78,6 +78,15 @@ def parse_reader(reader_cfg, metric, arch):
             params['image_shape'] = image_shape[1:]
             if 'target_dim' in params:
                 params.pop('target_dim')
+        if p['type'] == 'ResizeAndPad':
+            assert has_shape_def, "missing input shape"
+            p['type'] = 'Resize'
+            p['target_size'] = params['target_dim']
+            p['max_size'] = params['target_dim']
+            p['interp'] = params['interp']
+            p['image_shape'] = image_shape[1:]
+            preprocess_list.append(p)
+            continue
         p.update(params)
         preprocess_list.append(p)
     batch_transforms = reader_cfg.get('batch_transforms', None)
@@ -113,9 +122,9 @@ def dump_infer_config(FLAGS, config):
         'Face': 3,
         'TTFNet': 3,
         'FCOS': 3,
-        'EfficientDet': 40
     }
     infer_arch = config['architecture']
+    infer_arch = 'RetinaNet' if infer_arch == 'EfficientDet' else infer_arch
 
     for arch, min_subgraph_size in trt_min_subgraph.items():
         if arch in infer_arch: