Nullable object must have a value

[deby13]

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4. See error

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Please complete the following information

• IDE version: [e.g. 0.2.5]
• Firmware version: [e.g. 0.6.2]
• Board: [e.g. Maix Amigo]
• OS: [e.g. Windows/Linux/ios]

[deby13]

using instruction on the sipeed Blog to convert h5 to kmodel . using ./tflite2kmodel.sh workspace/Modelo.tflite

--- convolutional network

import tensorflow as tf from tensorflow.keras.preprocessing.image import ImageDataGenerator from tensorflow.keras.models import load_model import PIL from PIL import Image tf.version

Part 1 - Data Preprocessing

Preprocessing the Training set

train_datagen = ImageDataGenerator(rescale = 1./255, shear_range = 0.2, zoom_range = 0.2, horizontal_flip = True) training_set = train_datagen.flow_from_directory('dataset/training_set', target_size = (64, 64), batch_size = 32, class_mode = 'categorical')

Preprocessing the Test set

test_datagen = ImageDataGenerator(rescale = 1./255) test_set = test_datagen.flow_from_directory('dataset/test_set', target_size = (64, 64), batch_size = 32, class_mode = 'categorical')

Part 2 - Building the CNN

Initialising the CNN

cnn = tf.keras.models.Sequential()

Step 1 - Convolution

cnn.add(tf.keras.layers.Conv2D(filters=32, kernel_size=3, activation='relu', input_shape=[64, 64, 3]))

Step 2 - Pooling

cnn.add(tf.keras.layers.MaxPool2D(pool_size=2, strides=2))

Adding a second convolutional layer

cnn.add(tf.keras.layers.Conv2D(filters=32, kernel_size=3, activation='relu')) cnn.add(tf.keras.layers.MaxPool2D(pool_size=2, strides=2))

Step 3 - Flattening

cnn.add(tf.keras.layers.Flatten())

Step 4 - Full Connection

cnn.add(tf.keras.layers.Dense(units=128, activation='relu'))

Step 5 - Output Layer

cnn.add(tf.keras.layers.Dense(units=4, activation='softmax'))

Part 3 - Training the CNN

Compiling the CNN

cnn.compile(optimizer = 'adam', loss = 'categorical_crossentropy', metrics = ['accuracy']) input("Any thing")

input(cnn.summary())

Training the CNN on the Training set and evaluating it on the Test set

cnn.fit(x = training_set, validation_data = test_set, epochs = 2)

cnn.save("modeloP36")

the result modeloP36 was copied to workspace in the Max_toolbox_master

expected to get file converted

intead got the error error: NNcase : trying to convert tfile to kmodel

screenshot uasge: ./tflite2kmodel.sh xxx.tflite Fatal: Nullable object must have a value. System.InvalidOperationException: Nullable object must have a value. at System.Nullable1.get_Value() at NnCase.Converter.Converters.TfLiteToGraphConverter.ConvertReshape(Operator op) in D:\Work\Repository\nncase\src\NnCase.Converter\Converters\TfLiteToGraphConverter.cs:line 197 at NnCase.Converter.Converters.TfLiteToGraphConverter.ConvertOperator(Operator op) in D:\Work\Repository\nncase\src\NnCase.Converter\Converters\TfLiteToGraphConverter.cs:line 97 at System.Linq.Enumerable.SelectEnumerableIterator2.ToList() at System.Linq.Enumerable.ToList[TSource](IEnumerable`1 source) at NnCase.Converter.Converters.TfLiteToGraphConverter.Convert() in D:\Work\Repository\nncase\src\NnCase.Converter\Converters\TfLiteToGraphConverter.cs:line 34 at NnCase.Cli.Program.Main(String[] args) in D:\Work\Repository\nncase\src\NnCase.Cli\Program.cs:line 113 at NnCase.Cli.Program.

(String[] args)

board maixduino OS: Linus on Windows (WSL)