Merge pull request #795 from luxonis/develop

Release v2.21.0.0

docs/source/components/nodes/imu.rst

@@ -50,6 +50,23 @@ Limitations
 - For BNO086, gyroscope frequency above 400Hz can produce some jitter from time to time due to sensor HW limitation.
 - **Maximum frequencies**: 500 Hz raw accelerometer, 1000 Hz raw gyroscope values individually, and 500Hz combined (synced) output. You can obtain the combined synced 500Hz output with :code:`imu.enableIMUSensor([dai.IMUSensor.ACCELEROMETER_RAW, dai.IMUSensor.GYROSCOPE_RAW], 500)`.
 
+IMU sensor frequencies
+######################
+
+Below are the discrete **stable frequencies** available for each (raw) IMU sensor. Some maximum IMU frequencies are higher, eg.
+for BNO086, maximum frequency for gyroscope is 1000Hz, but up to 400Hz is stable (due to driver limitation).
+
+**BNO086:**
+
+- Accelerometer: 100Hz, 200Hz, 400Hz
+- Gyroscope: 125Hz, 250Hz, 400Hz
+- Magnetometer: 100Hz
+
+**BMI270:**
+
+- Accelerometer: 25Hz, 50Hz, 100Hz, 200Hz, 400Hz
+- Gyroscope: 25Hz, 50Hz, 100Hz, 200Hz, 400Hz
+
 Usage
 #####
 

examples/CrashReport/crash_report.py

@@ -0,0 +1,34 @@
+#!/usr/bin/env python3
+
+import cv2
+import depthai as dai
+from json import dump
+from os.path import exists
+
+# Connect to device and start pipeline
+with dai.Device() as device:
+
+    if device.hasCrashDump():
+        crashDump = device.getCrashDump()
+        commitHash = crashDump.depthaiCommitHash
+        deviceId = crashDump.deviceId
+
+        json = crashDump.serializeToJson()
+
+        i = -1
+        while True:
+            i += 1
+            destPath = "crashDump_" + str(i) + "_" + deviceId + "_" + commitHash + ".json"
+            if exists(destPath):
+                continue
+
+            with open(destPath, 'w', encoding='utf-8') as f:
+                dump(json, f, ensure_ascii=False, indent=4)
+
+            print("Crash dump found on your device!")
+            print(f"Saved to {destPath}")
+            print("Please report to developers!")
+            break
+    else:
+        print("There was no crash dump found on your device!")
+

examples/IMU/imu_firmware_update.py

@@ -5,70 +5,35 @@
 import time
 import math
 
+device = dai.Device()
+
+imuVersion = device.getConnectedIMU()
+imuFirmwareVersion = device.getIMUFirmwareVersion()
+embeddedIMUFirmwareVersion = device.getEmbeddedIMUFirmwareVersion()
+print(f"IMU type: {imuVersion}, firmware version: {imuFirmwareVersion}, embedded firmware version: {embeddedIMUFirmwareVersion}")
+
 print("Warning! Flashing IMU firmware can potentially soft brick your device and should be done with caution.")
 print("Do not unplug your device while the IMU firmware is flashing.")
 print("Type 'y' and press enter to proceed, otherwise exits: ")
 if input() != 'y':
     print("Prompt declined, exiting...")
     exit(-1)
 
-# Create pipeline
-pipeline = dai.Pipeline()
-
-# Define sources and outputs
-imu = pipeline.create(dai.node.IMU)
-xlinkOut = pipeline.create(dai.node.XLinkOut)
-
-xlinkOut.setStreamName("imu")
-
-# enable ACCELEROMETER_RAW at 500 hz rate
-imu.enableIMUSensor(dai.IMUSensor.ACCELEROMETER_RAW, 500)
-# enable GYROSCOPE_RAW at 400 hz rate
-imu.enableIMUSensor(dai.IMUSensor.GYROSCOPE_RAW, 400)
-# it's recommended to set both setBatchReportThreshold and setMaxBatchReports to 20 when integrating in a pipeline with a lot of input/output connections
-# above this threshold packets will be sent in batch of X, if the host is not blocked and USB bandwidth is available
-imu.setBatchReportThreshold(1)
-# maximum number of IMU packets in a batch, if it's reached device will block sending until host can receive it
-# if lower or equal to batchReportThreshold then the sending is always blocking on device
-# useful to reduce device's CPU load  and number of lost packets, if CPU load is high on device side due to multiple nodes
-imu.setMaxBatchReports(10)
-
-# Link plugins IMU -> XLINK
-imu.out.link(xlinkOut.input)
-
-imu.enableFirmwareUpdate(True)
-
 # Pipeline is defined, now we can connect to the device
-with dai.Device(pipeline) as device:
+with device:
 
-    def timeDeltaToMilliS(delta) -> float:
-        return delta.total_seconds()*1000
+    started = device.startIMUFirmwareUpdate()
+    if not started:
+        print("Couldn't start IMU firmware update")
+        exit(1)
 
-    # Output queue for imu bulk packets
-    imuQueue = device.getOutputQueue(name="imu", maxSize=50, blocking=False)
-    baseTs = None
     while True:
-        imuData = imuQueue.get()  # blocking call, will wait until a new data has arrived
-
-        imuPackets = imuData.packets
-        for imuPacket in imuPackets:
-            acceleroValues = imuPacket.acceleroMeter
-            gyroValues = imuPacket.gyroscope
-
-            acceleroTs = acceleroValues.getTimestampDevice()
-            gyroTs = gyroValues.getTimestampDevice()
-            if baseTs is None:
-                baseTs = acceleroTs if acceleroTs < gyroTs else gyroTs
-            acceleroTs = timeDeltaToMilliS(acceleroTs - baseTs)
-            gyroTs = timeDeltaToMilliS(gyroTs - baseTs)
-
-            imuF = "{:.06f}"
-            tsF  = "{:.03f}"
-
-            print(f"Accelerometer timestamp: {tsF.format(acceleroTs)} ms")
-            print(f"Accelerometer [m/s^2]: x: {imuF.format(acceleroValues.x)} y: {imuF.format(acceleroValues.y)} z: {imuF.format(acceleroValues.z)}")
-            print(f"Gyroscope timestamp: {tsF.format(gyroTs)} ms")
-            print(f"Gyroscope [rad/s]: x: {imuF.format(gyroValues.x)} y: {imuF.format(gyroValues.y)} z: {imuF.format(gyroValues.z)} ")
-
-        if cv2.waitKey(1) == ord('q'):
+        fwUpdateFinished, percentage = device.getIMUFirmwareUpdateStatus()
+        print(f"IMU FW update status: {percentage:.1f}%")
+        if fwUpdateFinished:
+            if percentage == 100:
+                print("Firmware update successful!")
+            else: 
+                print("Firmware update failed!")
             break
+        time.sleep(1)

examples/IMU/imu_rotation_vector.py

@@ -5,6 +5,16 @@
 import time
 import math
 
+device = dai.Device()
+
+imuType = device.getConnectedIMU()
+imuFirmwareVersion = device.getIMUFirmwareVersion()
+print(f"IMU type: {imuType}, firmware version: {imuFirmwareVersion}")
+
+if imuType != "BNO086":
+    print("Rotation vector output is supported only by BNO086!")
+    exit(1)
+
 # Create pipeline
 pipeline = dai.Pipeline()
 
@@ -28,7 +38,8 @@
 imu.out.link(xlinkOut.input)
 
 # Pipeline is defined, now we can connect to the device
-with dai.Device(pipeline) as device:
+with device:
+    device.startPipeline(pipeline)
 
     def timeDeltaToMilliS(delta) -> float:
         return delta.total_seconds()*1000

examples/IMU/imu_version.py

@@ -0,0 +1,9 @@
+#!/usr/bin/env python3
+
+import depthai as dai
+
+device = dai.Device()
+
+imuType = device.getConnectedIMU()
+imuFirmwareVersion = device.getIMUFirmwareVersion()
+print(f"IMU type: {imuType}, firmware version: {imuFirmwareVersion}")

examples/NeuralNetwork/detection_parser.py

@@ -42,11 +42,11 @@
 nn.setNumInferenceThreads(2)
 nn.input.setBlocking(False)
 
-blob = dai.OpenVINO.Blob(args.nnPath);
-nn.setBlob(blob);
-det.setBlob(blob);
-det.setNNFamily(dai.DetectionNetworkType.MOBILENET);
-det.setConfidenceThreshold(0.5);
+blob = dai.OpenVINO.Blob(args.nnPath)
+nn.setBlob(blob)
+det.setBlob(blob)
+det.setNNFamily(dai.DetectionNetworkType.MOBILENET)
+det.setConfidenceThreshold(0.5)
 
 # Linking
 if args.sync:

examples/SpatialDetection/spatial_location_calculator.py

@@ -44,6 +44,7 @@
 config = dai.SpatialLocationCalculatorConfigData()
 config.depthThresholds.lowerThreshold = 100
 config.depthThresholds.upperThreshold = 10000
+calculationAlgorithm = dai.SpatialLocationCalculatorAlgorithm.MEDIAN
 config.roi = dai.Rect(topLeft, bottomRight)
 
 spatialLocationCalculator.inputConfig.setWaitForMessage(False)
@@ -123,10 +124,30 @@
                 topLeft.x += stepSize
                 bottomRight.x += stepSize
                 newConfig = True
+        elif key == ord('1'):
+            calculationAlgorithm = dai.SpatialLocationCalculatorAlgorithm.MEAN
+            print('Switching calculation algorithm to MEAN!')
+            newConfig = True
+        elif key == ord('2'):
+            calculationAlgorithm = dai.SpatialLocationCalculatorAlgorithm.MIN
+            print('Switching calculation algorithm to MIN!')
+            newConfig = True
+        elif key == ord('3'):
+            calculationAlgorithm = dai.SpatialLocationCalculatorAlgorithm.MAX
+            print('Switching calculation algorithm to MAX!')
+            newConfig = True
+        elif key == ord('4'):
+            calculationAlgorithm = dai.SpatialLocationCalculatorAlgorithm.MODE
+            print('Switching calculation algorithm to MODE!')
+            newConfig = True
+        elif key == ord('5'):
+            calculationAlgorithm = dai.SpatialLocationCalculatorAlgorithm.MEDIAN
+            print('Switching calculation algorithm to MEDIAN!')
+            newConfig = True
 
         if newConfig:
             config.roi = dai.Rect(topLeft, bottomRight)
-            config.calculationAlgorithm = dai.SpatialLocationCalculatorAlgorithm.AVERAGE
+            config.calculationAlgorithm = calculationAlgorithm
             cfg = dai.SpatialLocationCalculatorConfig()
             cfg.addROI(config)
             spatialCalcConfigInQueue.send(cfg)

examples/StereoDepth/depth_preview_lr.py

@@ -11,46 +11,99 @@
 # Better handling for occlusions:
 lr_check = True
 
+enableRectified = False
+
 # Create pipeline
 pipeline = dai.Pipeline()
 
 # Define sources and outputs
 left = pipeline.create(dai.node.ColorCamera)
+center = pipeline.create(dai.node.ColorCamera)
 right = pipeline.create(dai.node.ColorCamera)
-depth = pipeline.create(dai.node.StereoDepth)
-xout = pipeline.create(dai.node.XLinkOut)
-xoutl = pipeline.create(dai.node.XLinkOut)
-xoutr = pipeline.create(dai.node.XLinkOut)
+LC_depth = pipeline.create(dai.node.StereoDepth)
+LR_depth = pipeline.create(dai.node.StereoDepth)
+CR_depth = pipeline.create(dai.node.StereoDepth)
+
+xout_LC = pipeline.create(dai.node.XLinkOut)
+xout_LR = pipeline.create(dai.node.XLinkOut)
+xout_CR = pipeline.create(dai.node.XLinkOut)
+
+xout_LC.setStreamName("disparity_LC")
+if enableRectified:
+    xoutl_LC = pipeline.create(dai.node.XLinkOut)
+    xoutr_LC = pipeline.create(dai.node.XLinkOut)
+    xoutl_LC.setStreamName("rectifiedLeft_LC")
+    xoutr_LC.setStreamName("rectifiedRight_LC")
 
-xout.setStreamName("disparity")
-xoutl.setStreamName("rectifiedLeft")
-xoutr.setStreamName("rectifiedRight")
+xout_LR.setStreamName("disparity_LR")
+if enableRectified:
+    xoutl_LR = pipeline.create(dai.node.XLinkOut)
+    xoutr_LR = pipeline.create(dai.node.XLinkOut)
+    xoutl_LR.setStreamName("rectifiedLeft_LR")
+    xoutr_LR.setStreamName("rectifiedRight_LR")
+
+xout_CR.setStreamName("disparity_CR")
+if enableRectified:
+    xoutl_CR = pipeline.create(dai.node.XLinkOut)
+    xoutr_CR = pipeline.create(dai.node.XLinkOut)
+    xoutl_CR.setStreamName("rectifiedLeft_CR")
+    xoutr_CR.setStreamName("rectifiedRight_CR")
 
 # Properties
 left.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1200_P)
 left.setBoardSocket(dai.CameraBoardSocket.LEFT)
+left.setIspScale(2, 3)
+
+center.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1200_P)
+center.setBoardSocket(dai.CameraBoardSocket.CENTER)
+center.setIspScale(2, 3)
+
 right.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1200_P)
 right.setBoardSocket(dai.CameraBoardSocket.RIGHT)
 right.setIspScale(2, 3)
-left.setIspScale(2, 3)
 
+LC_depth.setDefaultProfilePreset(dai.node.StereoDepth.PresetMode.HIGH_DENSITY)
+LC_depth.initialConfig.setMedianFilter(dai.MedianFilter.MEDIAN_OFF)
+LC_depth.setLeftRightCheck(lr_check)
+LC_depth.setExtendedDisparity(extended_disparity)
+LC_depth.setSubpixel(subpixel)
 
-# Create a node that will produce the depth map (using disparity output as it's easier to visualize depth this way)
-depth.setDefaultProfilePreset(dai.node.StereoDepth.PresetMode.HIGH_DENSITY)
-# Options: MEDIAN_OFF, KERNEL_3x3, KERNEL_5x5, KERNEL_7x7 (default)
-depth.initialConfig.setMedianFilter(dai.MedianFilter.KERNEL_7x7)
-depth.setInputResolution(1280, 800)
-depth.setLeftRightCheck(lr_check)
-depth.setExtendedDisparity(extended_disparity)
-depth.setSubpixel(subpixel)
-depth.setInputResolution(1280, 800)
+LR_depth.setDefaultProfilePreset(dai.node.StereoDepth.PresetMode.HIGH_DENSITY)
+LR_depth.initialConfig.setMedianFilter(dai.MedianFilter.MEDIAN_OFF)
+LR_depth.setLeftRightCheck(lr_check)
+LR_depth.setExtendedDisparity(extended_disparity)
+LR_depth.setSubpixel(subpixel)
+
+CR_depth.setDefaultProfilePreset(dai.node.StereoDepth.PresetMode.HIGH_DENSITY)
+CR_depth.initialConfig.setMedianFilter(dai.MedianFilter.MEDIAN_OFF)
+CR_depth.setLeftRightCheck(lr_check)
+CR_depth.setExtendedDisparity(extended_disparity)
+CR_depth.setSubpixel(subpixel)
 
 # Linking
-left.isp.link(depth.left)
-right.isp.link(depth.right)
-depth.disparity.link(xout.input)
-depth.rectifiedLeft.link(xoutl.input)
-depth.rectifiedRight.link(xoutr.input)
+# LC
+left.isp.link(LC_depth.left)
+center.isp.link(LC_depth.right)
+LC_depth.disparity.link(xout_LC.input)
+if enableRectified:
+    LC_depth.rectifiedLeft.link(xoutl_LC.input)
+    LC_depth.rectifiedRight.link(xoutr_LC.input)
+# LR
+left.isp.link(LR_depth.left)
+right.isp.link(LR_depth.right)
+LR_depth.disparity.link(xout_LR.input)
+if enableRectified:
+    LR_depth.rectifiedLeft.link(xoutl_LR.input)
+    LR_depth.rectifiedRight.link(xoutr_LR.input)
+# CR
+center.isp.link(CR_depth.left)
+right.isp.link(CR_depth.right)
+CR_depth.disparity.link(xout_CR.input)
+if enableRectified:
+    CR_depth.rectifiedLeft.link(xoutl_CR.input)
+    CR_depth.rectifiedRight.link(xoutr_CR.input)
+
+maxDisp = LC_depth.initialConfig.getMaxDisparity()
 
 # Connect to device and start pipeline
 with dai.Device(pipeline) as device:
@@ -62,7 +115,6 @@
             if type(message) == dai.ImgFrame:
                 frame = message.getCvFrame()
                 if 'disparity' in q:
-                    maxDisp = depth.initialConfig.getMaxDisparity()
                     disp = (frame * (255.0 / maxDisp)).astype(np.uint8)
                     disp = cv2.applyColorMap(disp, cv2.COLORMAP_JET)
                     cv2.imshow(q, disp)