!8831 modify export script for centerface and yolov4

From: @yuzhenhua666
Reviewed-by: @c_34,@yingjy
Signed-off-by: @c_34

model_zoo/official/cv/centerface/export.py

@@ -12,51 +12,43 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-"""Convert ckpt to air."""
+
-import os
 import argparse
 import numpy as np
 
-from mindspore import context
+import mindspore
-from mindspore import Tensor
+from mindspore import context, Tensor
-from mindspore.train.serialization import export, load_checkpoint, load_param_into_net
+from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
 
 from src.centerface import CenterfaceMobilev2
-
+from src.config import ConfigCenterface
-context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", save_graphs=False)
+
-
+parser = argparse.ArgumentParser(description='centerface export')
-def save_air():
+parser.add_argument("--device_id", type=int, default=0, help="Device id")
-    """Save air file"""
+parser.add_argument("--batch_size", type=int, default=1, help="batch size")
-    print('============= centerface start save air ==================')
+parser.add_argument("--ckpt_file", type=str, required=True, help="Checkpoint file path.")
-
+parser.add_argument("--file_name", type=str, default="centerface.air", help="output file name.")
-    parser = argparse.ArgumentParser(description='Convert ckpt to air')
+parser.add_argument('--file_format', type=str, choices=["AIR", "ONNX", "MINDIR"], default='AIR', help='file format')
-    parser.add_argument('--pretrained', type=str, default='', help='pretrained model to load')
+args = parser.parse_args()
-    parser.add_argument('--batch_size', type=int, default=8, help='batch size')
+
-
+context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", device_id=args.device_id)
-    args = parser.parse_args()
+
-    network = CenterfaceMobilev2()
+if __name__ == '__main__':
-
+    config = ConfigCenterface()
-    if os.path.isfile(args.pretrained):
+    net = CenterfaceMobilev2()
-        param_dict = load_checkpoint(args.pretrained)
+
-        param_dict_new = {}
+    param_dict = load_checkpoint(args.ckpt_file)
-        for key, values in param_dict.items():
+    param_dict_new = {}
-            if key.startswith('moments.') or key.startswith('moment1.') or key.startswith('moment2.'):
+    for key, values in param_dict.items():
-                continue
+        if key.startswith('moments.') or key.startswith('moment1.') or key.startswith('moment2.'):
-            elif key.startswith('centerface_network.'):
+            continue
-                param_dict_new[key[19:]] = values
+        elif key.startswith('centerface_network.'):
-            else:
+            param_dict_new[key[19:]] = values
-                param_dict_new[key] = values
+        else:
-        load_param_into_net(network, param_dict_new)
+            param_dict_new[key] = values
-        print('load model {} success'.format(args.pretrained))
+
-
+    load_param_into_net(net, param_dict_new)
-        input_data = np.random.uniform(low=0, high=1.0, size=(args.batch_size, 3, 832, 832)).astype(np.float32)
+    net.set_train(False)
-
+
-        tensor_input_data = Tensor(input_data)
+    input_data = Tensor(np.zeros([args.batch_size, 3, config.input_h, config.input_w]), mindspore.float32)
-        export(network, tensor_input_data,
+    export(net, input_data, file_name=args.file_name, file_format=args.file_format)
-               file_name=args.pretrained.replace('.ckpt', '_' + str(args.batch_size) + 'b.air'), file_format='AIR')
-
-        print("export model success.")
-
-
-if __name__ == "__main__":
-    save_air()

model_zoo/official/cv/yolov4/export.py

@@ -26,7 +26,7 @@ parser.add_argument("--device_id", type=int, default=0, help="Device id")
 parser.add_argument("--batch_size", type=int, default=1, help="batch size")
 parser.add_argument("--testing_shape", type=int, default=608, help="test shape")
 parser.add_argument("--ckpt_file", type=str, required=True, help="Checkpoint file path.")
-parser.add_argument("--file_name", type=str, default="ssd.air", help="output file name.")
+parser.add_argument("--file_name", type=str, default="yolov4.air", help="output file name.")
 parser.add_argument('--file_format', type=str, choices=["AIR", "ONNX", "MINDIR"], default='AIR', help='file format')
 args = parser.parse_args()