人工智能开发系列(8) 表情识别

小宁哥 发表于 2019-12-9 10:46
在image_demo里load_image 报错，invalid interpolation method，我改为opencv 读图后，结果图为空，是怎么 ...

后面两张图 可以正确识别

小宁哥 发表于 2019-12-9 10:46
在image_demo里load_image 报错，invalid interpolation method，我改为opencv 读图后，结果图为空，是怎么 ...

降低OpenCV版本试试

小白初次接触TB-RK3399Pro开发板，运行上边的表情识别案例时遇到以下问题：
1、运行python3 rknn_image_demo.py test_images/1.jpg  时，出现以下提示：
File “rknn_image_demo.py”, line 59, in <module>
image_path = sys.argv[1]
IndexError: list index out of range

2、开发板运行python3 rknn_video_demo.py 可以在正常跑通，但是在电脑虚拟机的Ubuntu上ssh远程开发板运行python3 rknn_video_demo.py 出现以下提示:
qt.qpa.screen: QXcbConnection: Could not connect to display
Could not connect to any X display.
求大神解答。

小宁哥 发表于 2019-12-9 10:46
在image_demo里load_image 报错，invalid interpolation method，我改为opencv 读图后，结果图为空，是怎么 ...

同样的问题，请问你解决了么？求指导

wzp 发表于 2020-4-20 20:11
小白初次接触TB-RK3399Pro开发板，运行上边的表情识别案例时遇到以下问题：
1、运行python3 rknn_image_dem ...

1. rknn_image_demo.py 后面需要加一个图片路径的参数
2. SSH远程运行需安装支持Xserver的客户端软件

NIELSONGOD 发表于 2020-5-27 14:40
同样的问题，请问你解决了么？求指导

可能是keras的版本不对导致无效接口定义， 可试试降低TensorFlow的版本?

tensorflow版本是1.11.0版本，执行python3 rknn_transfer.py后总是提醒：ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental'，怎么解决？系统提醒安装tensorflow2.2版本的，但安装不了，怎么解决？

李雪梅 发表于 2020-11-3 17:20
tensorflow版本是1.11.0版本，执行python3 rknn_transfer.py后总是提醒：ModuleNotFoundError: No module n ...

我也是，请问你解决了吗

运行python3 rknn_transfer.py报错如下( python3==3.6.9 , tensorflow==1.14.0, keras==2.2.5), 帮忙看下什么原因

W:tensorflow:From /home/xx/workspace/venv/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

Traceback (most recent call last):
  File "rknn_transfer.py", line 124, in <module>
    pb_transfer()
  File "rknn_transfer.py", line 55, in pb_transfer
    net_model = load_model(weight_file_path)
  File "/home/xx/workspace/venv/lib/python3.6/site-packages/keras/engine/saving.py", line 458, in load_wrapper
    return load_function(*args, **kwargs)
  File "/home/xx/workspace/venv/lib/python3.6/site-packages/keras/engine/saving.py", line 550, in load_model
    model = _deserialize_model(h5dict, custom_objects, compile)
  File "/home/xx/workspace/venv/lib/python3.6/site-packages/keras/engine/saving.py", line 242, in _deserialize_model
    model_config = json.loads(model_config.decode('utf-8'))
AttributeError: 'str' object has no attribute 'decode'

你好，请问TensorFlow的版本和keras的版本分别应该多少呢？ 既然是官方推荐的帖子，希望能描述详细一些帮到我们
我现在用的是官方1.4.0的docker，rknn-toolkit2-1.40，TensorFlow和Keras 两个版本都是 2.6.2 ，但转换模型时提示：

1. root@2c548c52c948:/rknn_test# python3 rknn_transfer.py
   
2. 2022-10-20 20:42:44.727550: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
   
3. 2022-10-20 20:42:44.727594: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
   
4. /usr/local/lib/python3.8/dist-packages/keras/backend.py:401: UserWarning: `tf.keras.backend.set_learning_phase` is deprecated and will be removed after 2020-10-11. To update it, simply pass a True/False value to the `training` argument of the `__call__` method of your layer or model.
   
5.   warnings.warn('`tf.keras.backend.set_learning_phase` is deprecated and '
   
6. 2022-10-20 20:42:45.534988: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
   
7. 2022-10-20 20:42:45.535040: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
   
8. 2022-10-20 20:42:45.535060: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (2c548c52c948): /proc/driver/nvidia/version does not exist
   
9. 2022-10-20 20:42:45.535192: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
   
10. To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
    
11. W:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer.
    
12. input is : input_1
    
13. output is: predictions/Softmax:0
    
14. Traceback (most recent call last):
    
15.   File "rknn_transfer.py", line 124, in <module>
    
16.     pb_transfer()
    
17.   File "rknn_transfer.py", line 62, in pb_transfer
    
18.     frozen_graph = freeze_session(K.get_session(), output_names=[net_model.output.op.name])
    
19.   File "/usr/local/lib/python3.8/dist-packages/keras/engine/keras_tensor.py", line 222, in op
    
20.     raise TypeError('Keras symbolic inputs/outputs do not '
    
21. TypeError: Keras symbolic inputs/outputs do not implement `op`. You may be trying to pass Keras symbolic inputs/outputs to a TF API that does not register dispatching, preventing Keras from automatically converting the API call to a lambda layer in the Functional Model.
    
22. root@2c548c52c948:/rknn_test#
    

复制代码