tensorflow-lite

Low Accuracy with static image on TFLite demo model

♀尐吖头ヾ 提交于 2019-12-08 03:34:47
问题 I'm trying the TFLite implementation for Image Classification using Mobile Net Transfer Learning example from TensorFlow for Poets 2 I'm able to succesfully complete the transfer learning using the four flower samples in the code lab and got the below screen This is a continuous stream of images that's being classified. I need to classify the image after taking the picture instead of stream and then take some action based on the result. Below is my approach for this. Create a basic camera app

Converting .tflite to .pb

折月煮酒 提交于 2019-12-08 03:16:45
问题 Problem : How can i convert a .tflite (serialised flat buffer) to .pb (frozen model)? The documentation only talks about one way conversion. Use-case is : I have a model that is trained on converted to .tflite but unfortunately, i do not have details of the model and i would like to inspect the graph, how can i do that? 回答1: I don't think there is a way to restore tflite back to pb as some information are lost after conversion. I found an indirect way to have a glimpse on what is inside

Tensorflow lite model is giving wrong output

好久不见. 提交于 2019-12-07 22:19:22
问题 I am developing a deep learning model with regression predicts. I created a tflite model but its predictions are different from original model and they are fully wrong.. Here is my process: I trained my model with keras model = Sequential() model.add(Dense(100, input_dim=x.shape[1], activation='relu')) # Hidden 1 model.add(Dense(50, activation='relu')) # Hidden 2 model.add(Dense(1)) # Output model.compile(loss='mean_squared_error', optimizer='adam') model.fit(x,y,verbose=0,epochs=500) And

tensorflow-lite - using tflite Interpreter to get an image in the output

折月煮酒 提交于 2019-12-06 15:50:08
问题 I am trying to use the workflow of Tensorflow-for-poets-2 TFLite tutorial, https://codelabs.developers.google.com/codelabs/tensorflow-for-poets-2-tflite/#6 But, instead of image classification, I am trying to do style transfer. It means that the input and the output of my network are images (compared to the original example, where the input is an image and the output is a list of scores). One of my many problems is to get the output-processed image from the tflite inference: After i loaded

Converting .tflite to .pb

人走茶凉 提交于 2019-12-06 13:17:46
Problem : How can i convert a .tflite (serialised flat buffer) to .pb (frozen model)? The documentation only talks about one way conversion. Use-case is : I have a model that is trained on converted to .tflite but unfortunately, i do not have details of the model and i would like to inspect the

Error trying to convert from saved model to tflite format

吃可爱长大的小学妹 提交于 2019-12-06 06:41:08
问题 While trying to convert a saved model to tflite file I get the following error: F tensorflow/contrib/lite/toco/tflite/export.cc:363] Some of the operators in the model are not supported by the standard TensorFlow Lite runtime. If you have a custom implementation for them you can disable this error with --allow_custom_ops, or by setting allow_custom_ops=True when calling tf.contrib.lite.toco_convert(). Here is a list of operators for which you will need custom implementations: AsString,

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