# Mono 全分辨率保存器 此示例尽力从 Mono 传感器尽快保存 1280x720 的 .png 文件。它作为将单目图片录制到磁盘的示例。 请注意，此示例会将图片保存到您的主机存储。如果让它持续运行，可能会填满主机的存储空间。 ### 类似示例： * [RGB 全分辨率保存器](https://docs.luxonis.com/software/depthai/examples/rgb_full_resolution_saver.md) ## 演示 ## 设置 请运行[安装脚本](https://github.com/luxonis/depthai-python/blob/main/examples/install_requirements.py)以下载所有必需的依赖项。请注意，此脚本必须在 git 上下文中运行，因此您需要先下载 [depthai-python](https://github.com/luxonis/depthai-python) 仓库，然后运行该脚本。 ```bash git clone https://github.com/luxonis/depthai-python.git cd depthai-python/examples python3 install_requirements.py ``` 更多信息，请参考[安装指南](https://docs.luxonis.com/software/depthai/manual-install.md)。 ## 源代码 #### Python ```python #!/usr/bin/env python3 from pathlib import Path import cv2 import depthai as dai import time # Create pipeline pipeline = dai.Pipeline() # Define source and output monoRight = pipeline.create(dai.node.MonoCamera) xoutRight = pipeline.create(dai.node.XLinkOut) xoutRight.setStreamName("right") # Properties monoRight.setCamera("right") monoRight.setResolution(dai.MonoCameraProperties.SensorResolution.THE_720_P) # Linking monoRight.out.link(xoutRight.input) # Connect to device and start pipeline with dai.Device(pipeline) as device: # Output queue will be used to get the grayscale frames from the output defined above qRight = device.getOutputQueue(name="right", maxSize=4, blocking=False) dirName = "mono_data" Path(dirName).mkdir(parents=True, exist_ok=True) while True: inRight = qRight.get() # Blocking call, will wait until a new data has arrived # Data is originally represented as a flat 1D array, it needs to be converted into HxW form # Frame is transformed and ready to be shown cv2.imshow("right", inRight.getCvFrame()) # After showing the frame, it's being stored inside a target directory as a PNG image cv2.imwrite(f"{dirName}/{int(time.time() * 1000)}.png", inRight.getFrame()) if cv2.waitKey(1) == ord('q'): break ``` #### C++ ```cpp #include #include // Includes common necessary includes for development using depthai library #include "depthai/depthai.hpp" #include "utility.hpp" int main() { using namespace std::chrono; // Create pipeline dai::Pipeline pipeline; // Define source and output auto monoRight = pipeline.create(); auto xoutRight = pipeline.create(); xoutRight->setStreamName("right"); // Properties monoRight->setCamera("right"); monoRight->setResolution(dai::MonoCameraProperties::SensorResolution::THE_720_P); // Linking monoRight->out.link(xoutRight->input); // Connect to device and start pipeline dai::Device device(pipeline); // Output queue will be used to get the grayscale frames from the output defined above auto qRight = device.getOutputQueue("right", 4, false); std::string dirName = "mono_data"; createDirectory(dirName); while(true) { auto inRight = qRight->get(); // Data is originally represented as a flat 1D array, it needs to be converted into HxW form // Frame is transformed and ready to be shown cv::imshow("right", inRight->getCvFrame()); uint64_t time = duration_cast(system_clock::now().time_since_epoch()).count(); std::stringstream videoStr; videoStr << dirName << "/" << time << ".png"; // After showing the frame, it's being stored inside a target directory as a PNG image cv::imwrite(videoStr.str(), inRight->getCvFrame()); int key = cv::waitKey(1); if(key == 'q' || key == 'Q') { return 0; } } return 0; } ``` ## 流水线 ### examples/mono_full_resolution_saver.pipeline.json ```json { "pipeline": { "connections": [ { "node1Id": 0, "node1Output": "out", "node1OutputGroup": "", "node2Id": 1, "node2Input": "in", "node2InputGroup": "" } ], "globalProperties": { "calibData": null, "cameraTuningBlobSize": null, "cameraTuningBlobUri": "", "leonCssFrequencyHz": 700000000.0, "leonMssFrequencyHz": 700000000.0, "pipelineName": null, "pipelineVersion": null, "sippBufferSize": 18432, "sippDmaBufferSize": 16384, "xlinkChunkSize": -1 }, "nodes": [ [ 0, { "id": 0, "ioInfo": [ [ [ "", "inputControl" ], { "blocking": true, "group": "", "id": 1, "name": "inputControl", "queueSize": 8, "type": 3, "waitForMessage": false } ], [ [ "", "out" ], { "blocking": false, "group": "", "id": 2, "name": "out", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "raw" ], { "blocking": false, "group": "", "id": 3, "name": "raw", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "frameEvent" ], { "blocking": false, "group": "", "id": 4, "name": "frameEvent", "queueSize": 8, "type": 0, "waitForMessage": false } ] ], "name": "MonoCamera", "properties": { "boardSocket": -1, "cameraName": "right", "fps": 30.0, "imageOrientation": -1, "initialControl": { "aeLockMode": false, "aeMaxExposureTimeUs": 0, "aeRegion": { "height": 0, "priority": 0, "width": 0, "x": 0, "y": 0 }, "afRegion": { "height": 0, "priority": 0, "width": 0, "x": 0, "y": 0 }, "antiBandingMode": 0, "autoFocusMode": 3, "awbLockMode": false, "awbMode": 0, "brightness": 0, "captureIntent": 0, "chromaDenoise": 0, "cmdMask": 0, "contrast": 0, "controlMode": 0, "effectMode": 0, "expCompensation": 0, "expManual": { "exposureTimeUs": 0, "frameDurationUs": 0, "sensitivityIso": 0 }, "frameSyncMode": 0, "lensPosAutoInfinity": 0, "lensPosAutoMacro": 0, "lensPosition": 0, "lensPositionRaw": 0.0, "lowPowerNumFramesBurst": 0, "lowPowerNumFramesDiscard": 0, "lumaDenoise": 0, "saturation": 0, "sceneMode": 0, "sharpness": 0, "strobeConfig": { "activeLevel": 0, "enable": 0, "gpioNumber": 0 }, "strobeTimings": { "durationUs": 0, "exposureBeginOffsetUs": 0, "exposureEndOffsetUs": 0 }, "wbColorTemp": 0 }, "isp3aFps": 0, "numFramesPool": 3, "numFramesPoolRaw": 3, "rawPacked": null, "resolution": 0 } } ], [ 1, { "id": 1, "ioInfo": [ [ [ "", "in" ], { "blocking": true, "group": "", "id": 5, "name": "in", "queueSize": 8, "type": 3, "waitForMessage": true } ] ], "name": "XLinkOut", "properties": { "maxFpsLimit": -1.0, "metadataOnly": false, "streamName": "right" } } ] ] } } ``` ### 需要帮助？ 请前往 [OAKChina 官网](https://www.oakchina.cn/) 获取技术支持或解答您的任何疑问。