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If you don't say much, see the effect first Below is the effect of not wearing a mask (cover it with an idol first) Here is the effect of wearing a mask Let's describe this effect again. In fact, it's not a picture, but read by the camera in real time. First of all, thank AIZOOTech's open source project - FaceMaskDetection. At the same time, ...

1, maskRcnn environment configuration (win10) Let's first look at the configuration I successfully run: python3.6.13 tensorflow-gpu 1.5.0 scipy1.2.1 Keras2.2.0 cuda9.0 cudnn7.0 I The default Anaconda is installed MaskRCNN——01. Environment configuration (based on Anaconda) II Download the MaskRCNN source code and check the envir ...

0. Preface Tensorflow is an open source machine learning framework based on Python. It is developed by Google and has rich applications in graphics classification, audio processing, recommendation system and natural language processing. It is one of the most popular machine learning frameworks at present. TensorFlow2.0 was released in Octobe ...

sagemaker is a hosted machine learning service of aws. For details, please see What is Amazon SageMaker- Amazon SageMaker Amazon SageMaker is a fully hosted machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then deploy the models directly to the producti ...

Image enhancement and model fine tuning learning essay Image enhancement learning objectives Know the common methods of image enhancementAble to use TF Keras to complete image enhancement Large scale data set is the premise of successful application of deep neural network. For example, we can crop the image in different ways to make th ...

Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it 1, Data sorting 1. sort If the direction is not indicated in sort, it will be sorted in ascending order by defaultIn multidimensional tensors, sorting is not in the global case, but in t ...

Previously: Interpretation of mask rcnn super detailed code (I) (Xiaosheng has been busy with other things recently, and the update has been delayed for a month... Next, he will try to finish all the contents by the day in a row) Summary of network structure in 1 (I) (this paragraph can be ignored after just reading (I)) (1) Three parts: ...

Image features Similar to text features, image features are also a kind of data that is very difficult to mine by gradient lifting tree model. At present, image related problems, such as image classification and image segmentation, are almost neural network-based models. However, in some multimodal problems, such as commodity search recommen ...

Conditional generation countermeasure network CGAN CGAN is one of the earliest GAN innovations that make the generation of target data possible. It can be said to be the most influential one. Next, it introduces the working mode of CGAN and how to implement its small-scale version with MNIST dataset. CGAN principle The generator learns to ge ...

1, Save Tensorflow model: 1. Save file description Tensorflow model mainly includes the design (diagram) of the network and the values of trained parameters. Therefore, tensorflow model has two main files: 1) graph.pbtxt: This is actually a text file, which saves the structure information of the model 2) checkpoint file: in fact, it is a tx ...