# Camera isp output This example shows how to use the isp output from the Camera node. Image Signal Processor (ISP) is a key camera component that helps achieve the desired output quality in imaging systems. It is the ISP that converts raw images delivered by an image sensor into a usable form, which can then be used by the embedded vision system for various tasks. This example requires the DepthAI v3 API, see [installation instructions](https://docs.luxonis.com/software-v3/depthai.md). ## Pipeline ### examples/camera_isp.pipeline.json ```json { "pipeline": { "connections": [ { "node1Id": 0, "node1Output": "0", "node1OutputGroup": "dynamicOutputs", "node2Id": 3, "node2Input": "in", "node2InputGroup": "" }, { "node1Id": 0, "node1Output": "1", "node1OutputGroup": "dynamicOutputs", "node2Id": 1, "node2Input": "in", "node2InputGroup": "" } ], "globalProperties": { "calibData": null, "cameraSocketTuningBlobSize": [], "cameraSocketTuningBlobUri": [], "cameraTuningBlobSize": null, "cameraTuningBlobUri": "", "eepromId": 0, "leonCssFrequencyHz": 700000000.0, "leonMssFrequencyHz": 700000000.0, "pipelineName": null, "pipelineVersion": null, "sippBufferSize": 18432, "sippDmaBufferSize": 16384, "xlinkChunkSize": -1 }, "nodes": [ [ 3, { "alias": "", "deviceId": "1936701492", "deviceNode": true, "id": 3, "ioInfo": [ [ [ "", "pipelineEventOutput" ], { "blocking": false, "group": "", "id": 11, "name": "pipelineEventOutput", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "in" ], { "blocking": true, "group": "", "id": 10, "name": "in", "queueSize": 3, "type": 3, "waitForMessage": false } ] ], "logLevel": 1, "name": "XLinkOut", "parentId": -1, "properties": [185, 5, 136, 0, 0, 128, 191, 189, 7, 95, 95, 120, 95, 48, 95, 48, 0, 255, 255] } ], [ 1, { "alias": "", "deviceId": "1936701492", "deviceNode": true, "id": 1, "ioInfo": [ [ [ "", "pipelineEventOutput" ], { "blocking": false, "group": "", "id": 7, "name": "pipelineEventOutput", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "in" ], { "blocking": true, "group": "", "id": 6, "name": "in", "queueSize": 3, "type": 3, "waitForMessage": false } ] ], "logLevel": 1, "name": "XLinkOut", "parentId": -1, "properties": [185, 5, 136, 0, 0, 128, 191, 189, 7, 95, 95, 120, 95, 48, 95, 49, 0, 255, 255] } ], [ 0, { "alias": "", "deviceId": "1936701492", "deviceNode": true, "id": 0, "ioInfo": [ [ [ "dynamicOutputs", "0" ], { "blocking": false, "group": "dynamicOutputs", "id": 5, "name": "0", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "raw" ], { "blocking": false, "group": "", "id": 3, "name": "raw", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "pipelineEventOutput" ], { "blocking": false, "group": "", "id": 2, "name": "pipelineEventOutput", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "dynamicOutputs", "1" ], { "blocking": false, "group": "dynamicOutputs", "id": 4, "name": "1", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "mockIsp" ], { "blocking": true, "group": "", "id": 1, "name": "mockIsp", "queueSize": 8, "type": 3, "waitForMessage": false } ], [ [ "", "inputControl" ], { "blocking": true, "group": "", "id": 0, "name": "inputControl", "queueSize": 3, "type": 3, "waitForMessage": false } ] ], "logLevel": 1, "name": "Camera", "parentId": -1, "properties": [185, 22, 185, 33, 0, 3, 0, 136, 0, 0, 0, 0, 128, 198, 128, 161, 185, 3, 130, 192, 148, 121, 94, 130, 109, 12, 41, 224, 130, 246, 224, 147, 240, 185, 5, 129, 43, 182, 129, 114, 142, 129, 162, 9, 129, 181, 152, 130, 172, 94, 196, 116, 185, 5, 129, 94, 132, 129, 232, 240, 129, 87, 109, 129, 225, 125, 130, 148, 23, 101, 0, 128, 163, 112, 128, 232, 0, 0, 128, 164, 128, 165, 79, 128, 218, 185, 3, 39, 128, 233, 132, 178, 185, 3, 134, 231, 88, 19, 96, 134, 233, 44, 98, 5, 130, 248, 33, 172, 30, 130, 3, 75, 254, 255, 92, 49, 132, 134, 86, 128, 224, 0, 0, 129, 202, 203, 128, 203, 111, 0, 186, 0, 1, 255, 189, 0, 255, 255, 255, 255, 255, 136, 0, 0, 128, 191, 136, 0, 0, 128, 191, 0, 3, 134, 0, 0, 160, 0, 3, 134, 0, 0, 160, 0, 4, 4, 4, 190, 190, 186, 2, 185, 6, 185, 1, 184, 0, 186, 2, 129, 32, 3, 129, 144, 1, 185, 1, 184, 0, 136, 0, 0, 240, 65, 190, 0, 190, 0, 185, 6, 185, 1, 190, 185, 1, 184, 0, 136, 0, 0, 0, 64, 190, 0, 0, 1] } ] ] } } ``` ## Source code #### Python ```python import cv2 import depthai as dai # Create pipeline with dai.Pipeline() as pipeline: # Define source and output cam = pipeline.create(dai.node.Camera).build(dai.CameraBoardSocket.CAM_B) videoQueue = cam.requestOutput((800,400), fps=30).createOutputQueue() videoIsp = cam.requestIspOutput(fps=2).createOutputQueue() # Connect to device and start pipeline pipeline.start() videoIn = videoQueue.get() videoInIsp = videoIsp.get() print( "Standard output resolution = " f"{ videoIn.getCvFrame().shape[1]} x { videoIn.getCvFrame().shape[0]}" ) print( f"Isp output resolution = " f"{ videoInIsp.getCvFrame().shape[1]} x { videoInIsp.getCvFrame().shape[0]}" ) while pipeline.isRunning(): videoIn = videoQueue.tryGet() videoInIsp = videoIsp.tryGet() # Returns 640x400 if videoIn: cv2.imshow("video", videoIn.getCvFrame()) if videoInIsp: cv2.imshow("videoIsp", videoInIsp.getCvFrame()) if cv2.waitKey(1) == ord("q"): break ``` #### C++ ```cpp #include #include #include #include #include "depthai/depthai.hpp" std::atomic quitEvent(false); void signalHandler(int) { quitEvent = true; } int main() { using namespace dai; using namespace std; signal(SIGTERM, signalHandler); signal(SIGINT, signalHandler); dai::Pipeline pipeline; auto cam = pipeline.create()->build(dai::CameraBoardSocket::CAM_B); // Request outputs auto videoOut = cam->requestOutput(std::make_pair(800, 400), std::nullopt, ImgResizeMode::CROP, 30.0f, std::nullopt); auto ispOut = cam->requestIspOutput(2.0f); // Create output queues auto videoQueue = videoOut->createOutputQueue(); auto ispQueue = ispOut->createOutputQueue(); pipeline.start(); // Get first frames and print resolutions auto videoIn = videoQueue->get(); auto videoInIsp = ispQueue->get(); cout << "Standard output resolution = " << videoIn->getCvFrame().cols << " x " << videoIn->getCvFrame().rows << endl; cout << "Isp output resolution = " << videoInIsp->getCvFrame().cols << " x " << videoInIsp->getCvFrame().rows << endl; // Main loop while(pipeline.isRunning() && !quitEvent) { auto videoIn = videoQueue->tryGet(); auto videoInIsp = ispQueue->tryGet(); if(videoIn) { cv::imshow("video", videoIn->getCvFrame()); } if(videoInIsp) { cv::imshow("videoIsp", videoInIsp->getCvFrame()); } if(cv::waitKey(1) == 'q') break; } pipeline.stop(); pipeline.wait(); return 0; } ``` ### Need assistance? 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