keras

Keras failed to load SavedModel: TypeError 'module' object is not callable

由 喜夏-厌秋 提交于 2021-01-07 01:19:05
问题 I trained an SSD MobileNet v2 network using the TensorFlow Object Detection API with TensorFlow 2 and then converted the trained model into a SavedModel. Now I need to convert the SavedModel to a FrozenGraph in order to make the model compatible with external libraries like OpenCV. I use this example for conversion and I cannot even load the Keras model. from keras.models import load_model model = load_model("training/model/saved_model") Calling load_model() produces an exception: Exception

Keras failed to load SavedModel: TypeError 'module' object is not callable

由 五迷三道 提交于 2021-01-07 01:17:26
问题 I trained an SSD MobileNet v2 network using the TensorFlow Object Detection API with TensorFlow 2 and then converted the trained model into a SavedModel. Now I need to convert the SavedModel to a FrozenGraph in order to make the model compatible with external libraries like OpenCV. I use this example for conversion and I cannot even load the Keras model. from keras.models import load_model model = load_model("training/model/saved_model") Calling load_model() produces an exception: Exception

Keras failed to load SavedModel: TypeError 'module' object is not callable

由 僤鯓⒐⒋嵵緔 提交于 2021-01-07 01:17:13
问题 I trained an SSD MobileNet v2 network using the TensorFlow Object Detection API with TensorFlow 2 and then converted the trained model into a SavedModel. Now I need to convert the SavedModel to a FrozenGraph in order to make the model compatible with external libraries like OpenCV. I use this example for conversion and I cannot even load the Keras model. from keras.models import load_model model = load_model("training/model/saved_model") Calling load_model() produces an exception: Exception

Keras failed to load SavedModel: TypeError 'module' object is not callable

由 怎甘沉沦 提交于 2021-01-07 01:16:22
问题 I trained an SSD MobileNet v2 network using the TensorFlow Object Detection API with TensorFlow 2 and then converted the trained model into a SavedModel. Now I need to convert the SavedModel to a FrozenGraph in order to make the model compatible with external libraries like OpenCV. I use this example for conversion and I cannot even load the Keras model. from keras.models import load_model model = load_model("training/model/saved_model") Calling load_model() produces an exception: Exception

Reshape and write ImageDataGenerator output to CSV file

由 Deadly 提交于 2021-01-07 01:07:08
问题 I'm working with the MNIST data set. I have the training data vectors in one CSV file (i.e. 60,000 rows, each with 784 columns), and the labels in a separate CSV file. I want to bulk up the amount of training data, and append it to the CSV. It has to be done like this, because then the CSV file has to be fed in to a separate pipeline. I originally wrote this script: import keras from keras.preprocessing.image import ImageDataGenerator import pandas as pd X_train = pd.read_csv('train-images

Reshape and write ImageDataGenerator output to CSV file

由 跟風遠走 提交于 2021-01-07 01:05:55
问题 I'm working with the MNIST data set. I have the training data vectors in one CSV file (i.e. 60,000 rows, each with 784 columns), and the labels in a separate CSV file. I want to bulk up the amount of training data, and append it to the CSV. It has to be done like this, because then the CSV file has to be fed in to a separate pipeline. I originally wrote this script: import keras from keras.preprocessing.image import ImageDataGenerator import pandas as pd X_train = pd.read_csv('train-images

使用OpenCV+Tensorflow跟踪排球的轨迹

由 霸气de小男生 提交于 2021-01-06 12:41:27
介绍 本文将带领大家如何把人工智能技术带到体育项目中。 运动中的人工智能是一个很新的东西，以下是一些有趣的作品： 篮球 https://dev.to/stephan007/open-source-sports-video-analysis-using-maching-learning-2ag4 网球 https://www.researchgate.net/publication/329740964_Convolutional_Neural_Networks_Based_Ball_Detection_in_Tennis_Games 排球 https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/vb14/ 我是个排球迷，所以让我们来看看最后一个网站，这是一个奥地利研究所的网站，他分析了当地业余联赛的比赛数据。 其中有一些文档需要阅读，最主要的信息是视频数据集。 排球是一项复杂的运动，有许多不同的因素，所以我从一个很小但很重要的部分开始——球。 跟踪球是一项非常著名的任务。谷歌提供了很多链接，但其中有许多只是一个简单的演示。在摄像机前识别和跟踪一个彩色的大球是无法与真实的比赛用球检测相比较的，因为现实世界中的球很小，移动速度很快，而且融入了背景中。 最后，我们希望得到这样的结果： 在开始之前

Understanding Bahdanau's Attention Linear Algebra

由 冷暖自知 提交于 2021-01-06 03:25:57
问题 Bahdanau's Additive Attention is recognized as the second part of equation 4 in the below image. I am trying to figure out the shapes of the matrices w1 , w2 , ht , hs and v in order to figure out how this mechanism is used in this paper Can ht and hs have different final dimensions? say (batch size, total units) and (batch size, time window). Equation 8 in the mentioned paper above seem to be doing this. Equation 8 in the above paper has the below notation: what does this expand to exactly?

How to load a keras model saved as .pb

由 时间秒杀一切 提交于 2021-01-05 13:24:47
问题 I'd like to load a keras model that i've trained and saved it as .pb . Here's the code, Am using a jupyter notebook. The model is successfully saved as saved_model.pb under the same directory. But the code is unable to access it. Can anybody see to it, how can i access this keras model that's saved in .pb extension. I checked at several other places for solution but no luck. Model is saved at model/saved_model.pb . I've taken out the .pb file and placed it in the same directory where my code

Loss: NaN in Keras while performing regression

由 天大地大妈咪最大 提交于 2021-01-05 11:34:32
问题 I am trying to predict a continuous value (using a Neural Network for the first time). I have normalized the input data. I can't figure out why I am getting a loss: nan output starting with the first epoch. I read and tried many suggestions from previous answers to the same question but that none of them helped me. My training data shape is: (201917, 64) . Here's my code: model = Sequential() model.add(Dense(100, input_dim=X.shape[1], activation='relu')) model.add(Dense(100, activation='relu'
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