stand_alone.py error

[benjaminschn]

When trying to use the trained model (from gui) with stand_alone.py, i got this error:

Tensorflow version 2.7.0 detected
C:/Users/benjamin/Desktop/acconeer-python-exploration-master/gui/ml/model1 
2022-01-20 14:28:04.656768: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-01-20 14:28:05.339982: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1334 MB memory:  -> device: 0, name: NVIDIA GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1
Keras layer batch not found in layer_definitions.py!
Loaded model with:
input shape    :[149, 12, 1]
output shape   :2
nr of features :1
labels         :['Fichte', 'Fichte+Hand']
Trained with 3008 features

Feature detection settings:
time_series: 1
frame_pad: 0
frame_size: 12
collection_mode: continuous
auto_threshold: 1.5
auto_offset: 5
dead_time: 10
rolling: False
update_rate: 120.0
frame_time: 0.1

Press Ctrl-C to end session
(1198,)
Traceback (most recent call last):
  File "./gui/ml/stand_alone.py", line 114, in <module>
    main()
  File "./gui/ml/stand_alone.py", line 91, in main
    ml_frame_data = feature_process.feature_extraction(data)
  File "C:\Users\benjamin\Desktop\acconeer-python-exploration-master\gui\ml\feature_processing.py", line 214, in feature_extraction
    self.prepare_data_container(data)
  File "C:\Users\benjamin\Desktop\acconeer-python-exploration-master\gui\ml\feature_processing.py", line 169, in prepare_data_container
    num_sensors, data_len = data["sweep_data"].shape
ValueError: not enough values to unpack (expected 2, got 1)

[AndersBuhl]

Hi,

It seems that the sweep returned from client.get_next() does not have the correct shape. Have you changed the sensor configuration in the script?

Also, could you attach the command you run to execute the script?

[benjaminschn]

Hi,
thank you for the reply.
I didn´t change the sensor configuration in the script. I only put in the filename manually in this line
model_data, message = keras_proc.load_model(filename), because i cound't get it running the normal way.

I ran the script with the following command:
python ./gui/ml/stand_alone.py --socket 169.254.208.245 --load-model model1

[AndersBuhl]

Hi,

The sensor configuration is in the model file. It is loaded on line 45. Can you add a print of the config and attach it here?

config = model_data["sensor_config"]
print(config)  # Added line
feature_list = model_data["feature_list"]
frame_settings = model_data["frame_settings"]

[benjaminschn]

Sure. Here is the config:

EnvelopeServiceConfig
  mode .............................. ENVELOPE
  sensor ............................ [1]
  range_interval .................... [0.12, 0.7]
  mur ............................... MUR_6
  profile ........................... PROFILE_2
  update_rate ....................... 120.0
  running_average_factor ............ 0.9
  repetition_mode ................... HOST_DRIVEN
  downsampling_factor ............... 1
  hw_accelerated_average_samples .... 20
  gain .............................. 0.2
  maximize_signal_attenuation ....... False
  noise_level_normalization ......... True
  tx_disable ........................ False
  power_save_mode ................... ACTIVE
  asynchronous_measurement .......... True

[AndersBuhl]

Hi,

Try setting squeeze to False by adding a line after the client has been setup:

if args.socket_addr:
    client = SocketClient(args.socket_addr)
elif args.spi:
    client = SPIClient()
else:
    port = args.serial_port or utils.autodetect_serial_port()
    client = UARTClient(port)
client.squeeze = False  # Added line

[benjaminschn]

It works now after I added the line! Thank you:)

[AndersBuhl]

Hi,

Great to here it solved your issue!