Crops the input image and outputs it to the Image object.
For details about the API, see Crop.
Before calling the image cropping API, prepare the image object to be cropped.
Key steps are demonstrated as follows:
Construct an ImageProcessor object and initialize the channel by calling InitVpcChannel(). If you skip this API, ImageProcessor automatically initializes the channel before cropping.
Decode the image based on services to generate an Image object that can be cropped. Subsequently, the image can be processed by using the image processing APIs to generate a final Image object to be cropped.
Select the one-to-many, one-to-one, or many-to-many cropping mode based on service requirements to construct the corresponding input Rect and output Image.
No stream is created. The input image and other parameters are passed to the Crop() API to obtain the image cropping result.
The following is a code example of key steps of functions and features, which is for reference only and cannot be directly copied for compilation or running.
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// Initialization MxInit(); { // Construct the image processing class. ImageProcessor imageProcessor(deviceId); // (Optional) Initialize the image processing channel. imageProcessor.InitVpcChannel(); // Decode the image for Image generation. // Decoded image class Image decodedImage; // Perform decoding based on the image path. APP_ERROR ret = imageProcessor.Decode(imagePath, decodedImage); if (ret != APP_ERR_OK) { std::cout << "Decode failed." << std::endl; } // Perform cropping. // cropImage class Image cropImage; // Coordinate information of the cropped image Rect cropRect {0, 0, 640, 512}; // Image cropping ret = imageProcessor.Crop(decodedImage, cropRect, cropImage); if (ret != APP_ERR_OK) { std::cout << "Crop failed." << std::endl; } } // Deinitialization MxDeInit(); |