By running the R8 solution, you can automatically obtain the sharpness of the image to determine if the image is blurry.
Image_FindRotateVerticalAngle is a solution for processing images to find the tilt angle and then rotate the image according to the angle.
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.
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.
The function of Image_FC2 is to get the image captured by the camera, which contains two files.
The function of Image_ConvertFileFormat is to convert the image file into another image format.
Image_binarize is used to separate the image from the foreground and background of the scene.
A large number of image operations can be performed through this solution to compare the performance of different computers.
Through the Keras function library, the FASTERRCNN method is used to detect the capacitance above the PCB.
This Image_PCB_SSD300_Keras is through Keras library, using the SSD (Single Shot Multibox Detector) method to detect the capacitance above the PCB.
Image_barcode is used to parse barcodes, such as bar code or QR code.
Image_VideoCapture_OpenCV is a VideoCapture using OpenCV. The image read by the webcam is captured and displayed in the window.
Image_PCB_ResNetSSD300_Caffe uses the Caffe framework, which is more than twice as fast as Keras.
This image_pcb_defectdetection_ssd512_caffe is the use of the Caffe framework. Speed is more than twice times faster than Keras.
This file is an introduction to Caffe SSD to detect and label objects in webcam real-time images.
This Image_PCB_ResNetSSD512_Caffe uses the Caffe framework, which is more than twice as fast as Keras.
This solution of Image_PCB_SSD512_Caffe is implemented by Caffe framework and SSD512 (Single Shot MultiBox Detector).
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
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
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