[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.
[OpenR8 solution] GetComputerID (Get the MAC address)
The computer Media Address Control Address (MAC address) can be obtained automatically by executing the R8 solution.
[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.
[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.
[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.
[OpenR8 solution] Image_FindRotateVerticalAngle (Find the tilt angle of the image object)
Image_FindRotateVerticalAngle is a solution for processing images to find the tilt angle and then rotate the image according to the angle.
[OpenR8 solution] Image_FindBlob2 (Find objects in the image)
Image_FindBlob2 is an example of a solution that frames objects of a specified size and can be used interchangeably with another “Image_FindBlob.doc” file.
[OpenR8 solution] Image_DataAugmentation (Image_DataAugmentation)
Data Augmentation is achieved by modifying the existing images in the dataset to create more images for the machine to learn, thereby expanding the dataset.
[OpenR8 solution] Image_FC2 (control FLIR camera)
The function of Image_FC2 is to get the image captured by the camera, which contains two files.
[OpenR8 solution] Image_ConvertFileFormat (Convert image file format)
The function of Image_ConvertFileFormat is to convert the image file into another image format.
[OpenR8 solution] Image_Binarize (Image_Binarize)
Image_binarize is used to separate the image from the foreground and background of the scene.
[OpenR8 solution] Image_Benchmark (Perform a large number of image operations to compare the performance of different computers)
A large number of image operations can be performed through this solution to compare the performance of different computers.
[OpenR8 solution] Image_PCB_FasterRCNN_Keras (Using Keras FasterRCNN for object detection on PCB)
Through the Keras function library, the FASTERRCNN method is used to detect the capacitance above the PCB.
[OpenR8 solution] Image (Create an image and capture the screen)
The Image contains two files that demonstrate how to create an image and capture two solutions for the full screen.
[OpenR8 solution] Image_Webcam_SSD300_Caffe (Using Caffe SSD algorithm to detect objects in webcam instant images)
This file is an introduction to Caffe SSD to detect and label objects in webcam real-time images.
[OpenR8 solution] Image_PCB_SSD300_Keras (Using SSD 300 algorithm and Keras for PCB object detection)
This Image_PCB_SSD300_Keras is through Keras library, using the SSD (Single Shot Multibox Detector) method to detect the capacitance above the PCB.