OpenR8 is web user interface software for AI algorithms which can make AI much easier.
The OpenR8 is an open source software which consists of modularized and graphical algorithms. It features the Windows-based software instead of Linux-based.
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The function of Image_ConvertFileFormat is to convert the image file into another image format.
A large number of image operations can be performed through this solution to compare the performance of different computers.
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.
Mask R-CNN is an extended application of Faster R-CNN, adding a branch more than Faster r-cnn. The target pixels are segmented while the target is being detected.
Image_PCB_ResNetSSD300_Caffe uses the Caffe framework, which is more than twice as fast as Keras.
Mask R-CNN is an extended application of Faster R-CNN, adding a branch more than Faster R-CNN to segment the target pixels while detecting the target.
This Image_Classify_VGG16_Caffe is using the Caffe framework, VGG16 network architecture is used to train the model and to classify the images through trained models.
This solution of Image_PCB_SSD512_Caffe is implemented by Caffe framework and SSD512 (Single Shot MultiBox Detector).
The Caffe Library of OpenR8 contains 23 functions, which can be used for image classification, object detection, numerical prediction, time series data prediction.
For an example of using HttpServer, you can refer to the documentation of HttpServer_DeepLearning in the folder OpenR8/solution.
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