[OpenR8 solution] File (File operation, Delete folder, Delete file, Access binary file, Access string and access image)
This article will introduce and demonstrate how to use it, users can integrate functions to the required places according to their needs. For example, when training the
[OpenR8 solution] CGI (The interface program allows your web page to communicate with the www server to achieve interaction with the user)
CGI is a technology for network communication. It requests data from the web browser through a web browser, and after making a specific CGI program, it is displayed bac
[OpenR8 solution] GetComputerID (Get the MAC address)
The computer Media Address Control Address (MAC address) can be obtained automatically by executing the R8 solution. This article will explain how to use OpenR8 to get
[OpenR8 solution] Image_MoveMouseThenScreenShot (Mouse control and image screenshot analysis)
This section describes how users can load an existing solution through the R8 software to automatically click on the next image, get each image for analysis and detecti
[OpenR8 solution] Image_FaceRecognitionCelebrity (Face recognition of famous people)
Using the Caffe framework, the human face in the image is detected and identified through the SSD (Single Shot Multibox detector) method.
[OpenR8 solution] Image_FindBlob (Find objects in the image)
The purpose of this solution is to find objects in the image. The method is to extract the feature blob by means of the connected region representation, and then filter
[OpenR8 solution] IntegerList_Caffe_FC (Digital Rule Training with Caffe Full Connection Layer)
This IntegerList_Caffe_FC is a deep learning Caffe framework that uses a multi-layer network to train the model and then test it through the trained model.
[OpenR8 solution] Image_OCR_Caffe_FC (Optical character recognition handwritten numbers using Caffe)
Image_OCR_Caffe_FC is a MNIST handwritten digit number identification using Caffe to identify the number in the image.
[OpenR8 solution] Image_Cap (Detect if the cap is tight)
The Image_Cap is to detect whether the cap is covered and tight.
[OpenR8 solution] Image_GetSharpness (Obtain image sharpness to determine if the image is blurry)
By running the R8 solution, you can automatically obtain the sharpness of the image to determine if the image is blurry. This article will show you how to use OpenR8 to