[OpenR8 solution] Image-Get-Sharpness (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-Find-Rotate-Vertical-Angle (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-Find-Blob2 (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-Data-Augmentation (Image Data Augmentation)
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-Convert-File-Format (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-Object-Detection-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-Object-Detection-VGG16-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.
[OpenR8 solution] Image-Barcode (Read 1D barcode and QR code)
Image_barcode is used to parse barcodes, such as bar code or QR code.
[OpenR8 solution] Image-Video-Capture-OpenCV (Capture webcam images using OpenCV's VideoCapture)
Image_VideoCapture_OpenCV is a VideoCapture using OpenCV. The image read by the webcam is captured and displayed in the window.
[OpenR8 solution] Image-Object-Detection-resNet50-SSD300-Caffe (Using SSD 300 algorithm and Caffe framework for PCB object detection)
Image_PCB_ResNetSSD300_Caffe uses the Caffe framework, which is more than twice as fast as Keras.
[OpenR8 solution] Image-Object-Detection-VGG16-SSD300-Caffe (Using Caffe SSD300 for object detection on PCB)
This Image_PCB_300_Caffe is the use of the Caffe framework.
[OpenR8 solution] Image-Object-Detection-VGG16-SSD512-Caffe-Defect-Detection (Using deep learning Caffe framework and SSD 512 algorithm for defect detection on PCB)
This image_pcb_defectdetection_ssd512_caffe is the use of the Caffe framework. Speed is more than twice times faster than Keras.
[OpenR8 solution] Image-Object-Detection-VGG16-SSD300-Caffe-Webcam (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-Object-Detection-resNet50-SSD512-Caffe (Image analysis uses SSD 512 algorithm and Caffe framework for PCB object detection)
This Image_PCB_ResNetSSD512_Caffe uses the Caffe framework, which is more than twice as fast as Keras.
[OpenR8 solution] Image-Object-Detection-VGG16-SSD512-Caffe (Using Caffe SSD512 for object detection on PCB)
This solution of Image_PCB_SSD512_Caffe is implemented by Caffe framework and SSD512 (Single Shot MultiBox Detector).
[OpenR8 solution] Image_PCB_ResNet152_SSD512_Caffe (Using Caffe SSD512 for object detection on PCB)
This Image_PCB_ResNet152_SSD512_Caffe is based on the deep learning Caffe framework. The SSD (Single Shot MultiBox Detector) algorithm is used to train the model. Then
[OpenR8 solution] Chatterbot (Machine learning based on chat robot engine)
Users only need to run the py file through the graphical interface to learn from a given conversation and reply to the corresponding response in the corresponding situa