# 脚本 EMMC 访问 > 此示例需要具有板载 EMMC 内存的设备（例如 OAK-1-POE）。 要检查您的设备是否有 EMMC 内存，请运行 > [Bootloader Version](https://docs.luxonis.com/software/depthai/examples/bootloader_version.md) > 中的引导加载程序版本脚本，并检查输出是否包含 > `Memory.EMMC` > 。 本示例演示如何使用 [Script](https://docs.luxonis.com/software/depthai-components/nodes/script.md) 节点访问设备的 EMMC 内存。EMMC 内存的默认位置为 /media/mmcsd-0-0/。流水线中的第一个脚本通过向 EMMC 内存写入图像来工作。 第二个脚本在 /media/mmcsd-0-0/ 目录上启动一个 Web 服务器，并从 EMMC 内存提供图像服务。 ## 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)。 ## 先决条件 我们首先需要将 EMMC 内存作为设备的存储空间启用。为此，我们需要用启用了 EMMC 的应用程序刷写设备。 示例应用程序： ```bash import depthai as dai # 创建流水线 pipeline = dai.Pipeline() # 设置板配置 board = dai.BoardConfig() board.emmc = True config = dai.Device.Config() config.board = board pipeline.setBoardConfig(board) (f, bl) = dai.DeviceBootloader.getFirstAvailableDevice() bootloader = dai.DeviceBootloader(bl) progress = lambda p : print(f'Flashing progress: {p*100:.1f}%') (r, errmsg) = bootloader.flash(progress, pipeline, memory=dai.DeviceBootloader.Memory.EMMC) if r: print("Flash OK") ``` 上述代码将用允许脚本节点访问 EMMC 内存的应用程序刷写设备。现在，即使设备处于标准模式（连接到主机 PC），我们也应该能够访问 EMMC 内存。 ## 源代码 #### Python ```python #!/usr/bin/env python3 import depthai as dai import cv2 # Start defining a pipeline pipeline = dai.Pipeline() board = dai.BoardConfig() board.emmc = True pipeline.setBoardConfig(board) # Define source and output camRgb = pipeline.create(dai.node.ColorCamera) jpegEncoder = pipeline.create(dai.node.VideoEncoder) # Properties camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_4_K) jpegEncoder.setDefaultProfilePreset(1, dai.VideoEncoderProperties.Profile.MJPEG) #Set a write script script_write = pipeline.createScript() script_write.setProcessor(dai.ProcessorType.LEON_CSS) script_write.setScript(""" import os index = 1000 import time while True: # Find an unused file name first while True: path = '/media/mmcsd-0-0/' + str(index) + '.jpg' if not os.path.exists(path): break index += 1 frame = node.io['jpeg'].get() node.warn(f'Saving to EMMC: {path}') with open(path, 'wb') as f: f.write(frame.getData()) index += 1 time.sleep(3) """) #Set a read script script_read = pipeline.createScript() script_read.setProcessor(dai.ProcessorType.LEON_CSS) script_read.setScript(""" import http.server import socketserver import socket import fcntl import struct import os def get_ip_address(ifname): s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) return socket.inet_ntoa(fcntl.ioctl( s.fileno(), -1071617759, # SIOCGIFADDR struct.pack('256s', ifname[:15].encode()) )[20:24]) # Note: `chdir` here will prevent unmount, this should be improved! os.chdir('/media/mmcsd-0-0') PORT = 80 Handler = http.server.SimpleHTTPRequestHandler with socketserver.TCPServer(("", PORT), Handler) as httpd: ip = get_ip_address('re0') node.warn(f'===== HTTP file server accessible at: http://{ip}') httpd.serve_forever() """) # Linking camRgb.video.link(jpegEncoder.input) jpegEncoder.bitstream.link(script_write.inputs['jpeg']) script_write.inputs['jpeg'].setBlocking(False) xout = pipeline.create(dai.node.XLinkOut) xout.setStreamName("rgb") script_read.outputs['jpeg'].link(xout.input) # Pipeline defined, now the device is connected to with dai.Device(pipeline) as device: # Output queue will be used to get the rgb frames from the output defined above qRgb = device.getOutputQueue(name="rgb", maxSize=100, blocking=False) while True: inRgb = qRgb.tryGet() if inRgb is not None: cv2.imshow("rgb", inRgb.getCvFrame()) if cv2.waitKey(1) == ord('q'): break ``` ## 流水线 ### examples/script_emmc_access.pipeline.json ```json { "pipeline": { "connections": [ { "node1Id": 0, "node1Output": "video", "node1OutputGroup": "", "node2Id": 1, "node2Input": "in", "node2InputGroup": "" }, { "node1Id": 1, "node1Output": "bitstream", "node1OutputGroup": "", "node2Id": 2, "node2Input": "jpeg", "node2InputGroup": "io" }, { "node1Id": 3, "node1Output": "jpeg", "node1OutputGroup": "io", "node2Id": 4, "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": [ [ [ "", "inputConfig" ], { "blocking": false, "group": "", "id": 1, "name": "inputConfig", "queueSize": 8, "type": 3, "waitForMessage": false } ], [ [ "", "raw" ], { "blocking": false, "group": "", "id": 6, "name": "raw", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "still" ], { "blocking": false, "group": "", "id": 7, "name": "still", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "inputControl" ], { "blocking": true, "group": "", "id": 2, "name": "inputControl", "queueSize": 8, "type": 3, "waitForMessage": false } ], [ [ "", "video" ], { "blocking": false, "group": "", "id": 3, "name": "video", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "isp" ], { "blocking": false, "group": "", "id": 4, "name": "isp", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "preview" ], { "blocking": false, "group": "", "id": 5, "name": "preview", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "frameEvent" ], { "blocking": false, "group": "", "id": 8, "name": "frameEvent", "queueSize": 8, "type": 0, "waitForMessage": false } ] ], "name": "ColorCamera", "properties": { "boardSocket": -1, "cameraName": "", "colorOrder": 0, "fp16": false, "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 }, "interleaved": true, "isp3aFps": 0, "ispScale": { "horizDenominator": 0, "horizNumerator": 0, "vertDenominator": 0, "vertNumerator": 0 }, "numFramesPoolIsp": 3, "numFramesPoolPreview": 4, "numFramesPoolRaw": 3, "numFramesPoolStill": 4, "numFramesPoolVideo": 4, "previewHeight": 300, "previewKeepAspectRatio": true, "previewWidth": 300, "rawPacked": null, "resolution": 1, "sensorCropX": -1.0, "sensorCropY": -1.0, "stillHeight": -1, "stillWidth": -1, "videoHeight": -1, "videoWidth": -1 } } ], [ 1, { "id": 1, "ioInfo": [ [ [ "", "in" ], { "blocking": true, "group": "", "id": 9, "name": "in", "queueSize": 4, "type": 3, "waitForMessage": true } ], [ [ "", "bitstream" ], { "blocking": false, "group": "", "id": 10, "name": "bitstream", "queueSize": 8, "type": 0, "waitForMessage": false } ], [ [ "", "out" ], { "blocking": false, "group": "", "id": 11, "name": "out", "queueSize": 8, "type": 0, "waitForMessage": false } ] ], "name": "VideoEncoder", "properties": { "bitrate": 0, "frameRate": 1.0, "keyframeFrequency": 30, "lossless": false, "maxBitrate": 0, "numBFrames": 0, "numFramesPool": 0, "outputFrameSize": 0, "profile": 4, "quality": 95, "rateCtrlMode": 0 } } ], [ 2, { "id": 2, "ioInfo": [ [ [ "io", "jpeg" ], { "blocking": false, "group": "io", "id": 12, "name": "jpeg", "queueSize": 8, "type": 3, "waitForMessage": false } ] ], "name": "Script", "properties": { "processor": 0, "scriptName": "