diff --git a/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/LICENCE b/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/LICENCE
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index 0000000000000000000000000000000000000000..68138bbe199d050af8296991a843bf1a5bcf86fd
--- /dev/null
+++ b/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/LICENCE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2019 Fan Yang
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/README.md b/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c7ae99eb778208480730ff53d38aff28e9c13619
--- /dev/null
+++ b/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/README.md
@@ -0,0 +1,30 @@
+# DD-NET
+
+### 关于项目
+
+本项目为复现"Make Skeleton-based Action Recognition Model Smaller, Faster and Better"论文算法。
+
+论文链接：[paper](https://arxiv.org/pdf/1907.09658.pdf)
+
+原作者开源代码：[code](https://github.com/fandulu/DD-Net)
+
+转换后可在Ascend 910运行的代码：[code](https://gitee.com/ascend/ModelZoo-TensorFlow/tree/master/TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow)
+
+### 模型转换
+
+#### h5转pb
+
+使用'tf.keras.models.save_model'将模型保存为h5文件；运行h5topb.py脚本得到固化的pb文件。
+ 
+
+#### pb转om
+
+使用ATC模型转换工具进行模型转换，命令：
+`atc --model=./model.pb --framework=3 --output=./out --soc_version=Ascend310 --input_shape="Input:1,32,105; Input_1:1,32,15,2" --log=info --out_nodes="model_1/dense_2/Softmax:0"`
+
+### 推理
+
+使用msame工具，参考命令：
+`/home/HwHiAiUser/AscendProjects/tools/msame/out/msame --model ./out.om --output ./output --outfmt BIN --loop 1
+`
+
diff --git a/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/h5topb.py b/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/h5topb.py
new file mode 100644
index 0000000000000000000000000000000000000000..aa146867d486056052074f45961a4ab287574723
--- /dev/null
+++ b/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/h5topb.py
@@ -0,0 +1,68 @@
+# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+# Copyright 2021 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import tensorflow as tf
+from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2
+
+def poses_diff(x):
+    H, W = x.get_shape()[1],x.get_shape()[2]
+    x = tf.subtract(x[:,1:,...],x[:,:-1,...])
+    x = tf.image.resize(x,size=[H,W]) 
+    return x
+
+def h5_to_pb(h5_save_path):
+    model = tf.keras.models.load_model(h5_save_path, compile=False, custom_objects={'poses_diff':poses_diff})
+    model.summary()
+    full_model = tf.function(lambda Input: model(Input))
+    full_model = full_model.get_concrete_function([tf.TensorSpec(model.inputs[0].shape, model.inputs[0].dtype),
+                tf.TensorSpec(model.inputs[1].shape, model.inputs[1].dtype)])
+
+    # Get frozen ConcreteFunction
+    frozen_func = convert_variables_to_constants_v2(full_model)
+    frozen_func.graph.as_graph_def()
+
+    layers = [op.name for op in frozen_func.graph.get_operations()]
+    print("-" * 50)
+    print("Frozen model layers: ")
+    for layer in layers:
+        print(layer)
+
+    print("-" * 50)
+    print("Frozen model inputs: ")
+    print(frozen_func.inputs)
+    print("Frozen model outputs: ")
+    print(frozen_func.outputs)
+
+    # Save frozen graph from frozen ConcreteFunction to hard drive
+    tf.io.write_graph(graph_or_graph_def=frozen_func.graph,
+        logdir="./pb",
+        name="model.pb",
+        as_text=False)  #可设置.pb存储路径
+
+
+h5_to_pb('weights/ddnet.h5')  #此处填入.h5路径
\ No newline at end of file
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diff --git a/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/modelzoo_level.txt b/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/modelzoo_level.txt
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index 0000000000000000000000000000000000000000..2c2153f3493a1d4051230cf3a5f6b72ac3cad795
--- /dev/null
+++ b/ACL_TensorFlow/contrib/cv/DD-NET_ID1088_for_TensorFlow/modelzoo_level.txt
@@ -0,0 +1,6 @@
+FuncStatus:OK
+PrecisionStatus:POK
+GPUStatus:OK
+NPUMigrationStatus:POK
+AutoTune:NOK 
+PerfStatus:OK
\ No newline at end of file
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