Assistance Needed for Standalone Streaming Setup on Multiple OAK PoE Cameras

jakaskerl · Jan 23, 2024

Hi @nikul
You can try flashing this way if you are having issues:

import depthai as dai

pipeline = dai.Pipeline()

# Define standalone pipeline; add nodes and link them
# cam = pipeline.create(dai.node.ColorCamera)
# script = pipeline.create(dai.node.Script)
# ...

# Flash the pipeline
(f, bl) = dai.DeviceBootloader.getFirstAvailableDevice()
bootloader = dai.DeviceBootloader(bl)
progress = lambda p : print(f'Flashing progress: {p*100:.1f}%')
bootloader.flash(progress, pipeline)

nikul Secondly, do I need to change localhost with anything else.

No, I don't think you need to change it. Socketserver should know to point localhost to loopback.

Thanks,
Jaka

Nnikul · Jan 23, 2024

Thank you for your prompt response.

Here I am trying to understand do we only flash pipeline on to the device. from the code its seems like it just flashing the pipeline we created from "depthai" package. so what happens to the code outside of the object which basically responsible from streaming.

Further how would i target specific device using IP address.
(f, bl) = dai.DeviceBootloader.getFirstAvailableDevice()
I do not need first available device. I currently have 5 OAK devices connected to my network at the moment.

Let me know if you need more detail to understand my use case thoroughly.

jakaskerl · Jan 24, 2024

H @nikul

nikul so what happens to the code outside of the object which basically responsible from streaming.

The code goes inside the script node. Here is an example of how to port: luxonis/depthai-experimentstree/master/gen2-cumulative-object-counting. Standalone mode version should have all components inside the script node. Keep in mind that some libraries are not accessible so you will need workarounds.
https://docs.luxonis.com/projects/api/en/latest/components/nodes/script/#available-modules-and-libraries

getAllAvailableDevices() should give you a list. Then select the correct one based on IP or MXID.

Thanks,
Jaka

Nnikul · Jan 24, 2024

Thank you,
I need assistance with couple of things.
desired_ip = "x.x.x.x"

# Get the list of all available devices

available_devices = dai.DeviceBootloader.getAllAvailableDevices()

# Find the bootloader corresponding to the device with the desired IP

selected_bootloader = None

for device_info in available_devices:

if device_info.name == desired_ip:

selected_bootloader = dai.DeviceBootloader(device_info)

break

# Check if the device was found and flash the pipeline

if selected_bootloader:

# Check if the device is already in the FLASH state

print(selected_bootloader)

if ("Want to check the state"):

print("Device already in FLASH state, removing existing flash...")

selected_bootloader.("Want function to clear it before i flash it again (flashEepromClear)?") ""

progress = lambda p: print(f'Flashing progress: {p*100:.1f}%')

selected_bootloader.flash(progress, pipeline)

print("Flashing completed.")

else:

print("Device with the specified IP not found.")

1. How can check if the device is in BOOTABLE state. (using object of DepthAi in this case it selected_bootloader)
2. What happens if I Flash device even though it not in the Bootloader State. If it won't allow, how do tI clear it., or if it will allow does it overwrites the script.

jakaskerl · Jan 25, 2024

HI @nikul
1:

# Check every second for new devices
while True:
device_infos = dai.Device.getAllAvailableDevices()
for device_info in device_infos:
if device_info.state != dai.XLinkDeviceState.X_LINK_BOOTLOADER:
continue
# Start thread here
sleep(1)

If you try to flash the device when it is already booted, you will get an error that device is already used. If you flash an unbooted device, it will try to boot it to bootloader first, then flash it.

Thanks,
Jaka

Nnikul · Jan 25, 2024

Thank you for your response @jakaskerl , Really Appreciate.I
I need assistance with the following code.

I am trying to get the object of desired IP (desired_ip) and trying to perform flash() and flasClear() on the object. However i am getting error depthai.DeviceInfo object has no attribute 'flashClear'. I am assuming flash() also won't work. Here is snap of my code.

desired_ip = "0.0.0.0"

device_infos = dai.Device.getAllAvailableDevices()

device_infos = [device_info for device_info in device_infos if device_info.name == desired_ip]

if device_infos:

device_info = device_infos[0]

print(device_info)

if device_info.state != dai.XLinkDeviceState.X_LINK_BOOTLOADER:

print("Device already in FLASH state, removing existing flash...")

device_info.flashClear()

print('Successfully cleared bootloader flash')

progress = lambda p: print(f'Flashing progress: {p*100:.1f}%')

# device_info.flash(progress, pipeline)

print("Flashing completed.")

else:

print(f"No device with IP address {desired_ip} found.")

I am trying to make the device stand alone. it will stream the camera on IP address using MJPEG. Now I am in situation where I might have to change the camera configuration. Right now what planning is I will clearing flash. and reassign it to the device was wondering if there's any optimal way.

Thanks,
Nikul

jakaskerl · Jan 25, 2024

Hi @nikul

dai.DeviceBootloader(devInfo=device_info).flashClear()
Flashing a different app will override the already flashed app, so you don't have to manually clear the flash.

Thanks,
Jaka

Nnikul · Jan 25, 2024

Hi @jakaskerl Thank you for your response.
I have been successfully able to Flash the script on to the desired device using IP address.
I was wondering If i can show both the views since I have OAK-D Pro PoE camera which can produce Active/Passive Stereo view. I want to produce two URL. For example given script make steaming run on 0.0.0.0:0000/img. I want to make two different URL for two different views for example 0.0.0.0:0000/normal and 0.0.0.0:0000/stereo.
Since it is complex for me to marge the functionality your assistance will be really appreciated.
Code
import depthai as dai

import time

# Start defining a pipeline

pipeline = dai.Pipeline()

# Define a source - color camera

cam = pipeline.create(dai.node.ColorCamera)

cam.setFps(30)

cam.setResolution(dai.ColorCameraProperties.SensorResolution.THE_12_MP)

# VideoEncoder

jpeg = pipeline.create(dai.node.VideoEncoder)

jpeg.setDefaultProfilePreset(cam.getFps(), dai.VideoEncoderProperties.Profile.MJPEG)

# Script node

script = pipeline.create(dai.node.Script)

script.setProcessor(dai.ProcessorType.LEON_CSS)

script.setScript("""

import time

import socket

import fcntl

import struct

from socketserver import ThreadingMixIn

from http.server import BaseHTTPRequestHandler, HTTPServer

PORT = 0000

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])

class ThreadingSimpleServer(ThreadingMixIn, HTTPServer):

pass

class HTTPHandler(BaseHTTPRequestHandler):

def do_GET(self):

if self.path == '/':

self.send_response(200)

self.end_headers()

self.wfile.write(b'<h1>[DepthAI] Hello, world!</h1><p>Click <a href="img">here</a> for an image</p>')

elif self.path == '/img':

try:

self.send_response(200)

self.send_header('Content-type', 'multipart/x-mixed-replace; boundary=--jpgboundary')

self.end_headers()

fpsCounter = 0

timeCounter = time.time()

while True:

jpegImage = node.io['jpeg'].get()

self.wfile.write("--jpgboundary".encode())

self.wfile.write(bytes([13, 10]))

self.send_header('Content-type', 'image/jpeg')

self.send_header('Content-length', str(len(jpegImage.getData())))

self.end_headers()

self.wfile.write(jpegImage.getData())

self.end_headers()

fpsCounter = fpsCounter + 1

if time.time() - timeCounter > 1:

node.warn(f'FPS: {fpsCounter}')

fpsCounter = 0

timeCounter = time.time()

except Exception as ex:

node.warn(str(ex))

with ThreadingSimpleServer(("", PORT), HTTPHandler) as httpd:

node.warn(f"Serving at {get_ip_address('re0')}:{PORT}")

httpd.serve_forever()

""")

# Connections

cam.video.link(jpeg.input)

jpeg.bitstream.link(script.inputs['jpeg'])

desired_ip = "0.0.0.0"

device_infos = dai.Device.getAllAvailableDevices()

device_infos = [device_info for device_info in device_infos if device_info.name == desired_ip]

if device_infos:

device_info = device_infos[0]

print(device_info)

if device_info.state != dai.XLinkDeviceState.X_LINK_BOOTLOADER:

print("Device already in FLASH state, removing existing flash...")

dai.DeviceBootloader(devInfo=device_info).flashClear()

print('Successfully cleared bootloader flash')

progress = lambda p: print(f'Flashing progress: {p*100:.1f}%')

dai.DeviceBootloader(devInfo=device_info).flash(progress, pipeline)

print("Flashing completed.")

else:

print(f"No device with IP address {desired_ip} found.")

Thank you.
Nikul

jakaskerl · Jan 26, 2024

Hi @nikul
I'm going to attach a script which did a similar thing, but with different stages of NN. Couldn't find the discussion in which this was posted, so I'm only positing code. Hope it helps in understanding.

import depthai as dai
import time
import blobconverter
from pathlib import Path

# modelOL = blobconverter.from_zoo(name="mobile_object_localizer_192x192", zoo_type="depthai", shaves=6)
modelSSD = blobconverter.from_zoo(name="mobilenet-ssd", shaves=6)
fire_model_path = "/Users/jaka/Desktop/tests/multimodel_scripts/models/fire-detection_openvino_2021.2_5shave.blob"

SW_VERSION = "SSD_FireDet"

# Start defining a pipeline
pipeline = dai.Pipeline()

pipeline.setOpenVINOVersion(version = dai.OpenVINO.VERSION_2021_4)

# Color camera
cam = pipeline.create(dai.node.ColorCamera)
cam.setInterleaved(False)
cam.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
cam.setIspScale(1,3)
# cam.setPreviewSize(640, 640)
# cam.setVideoSize(640, 640)
cam.setFps(5)

# Define a neural network Mobilenet-ssd
nn_mssd = pipeline.create(dai.node.MobileNetDetectionNetwork)
nn_mssd.setConfidenceThreshold(0.5)
nn_mssd.setBlobPath(modelSSD)
nn_mssd.setNumInferenceThreads(2)
nn_mssd.input.setBlocking(False)

# Define input image to nn_MobilenetSSD
manip_mssd = pipeline.createImageManip()
manip_mssd.setResize(300,300)
manip_mssd.setMaxOutputFrameSize(270000) # 300x300x3
manip_mssd.initialConfig.setFrameType(dai.RawImgFrame.Type.RGB888p)

# Define a neural network Fire Detection
nn_fire = pipeline.create(dai.node.NeuralNetwork)
# nn_fire.setConfidenceThreshold(0.5)
nn_fire.setBlobPath(fire_model_path)
nn_fire.input.setBlocking(False)

# Define input image to nn_FireDetection
manip_fire = pipeline.createImageManip()
manip_fire.setResize(224,224)
manip_fire.setMaxOutputFrameSize(150528) # 224x224x2
manip_fire.initialConfig.setFrameType(dai.RawImgFrame.Type.RGB888p)

#define a script node
script = pipeline.create(dai.node.Script)
script.setProcessor(dai.ProcessorType.LEON_CSS)

#Define a video encoder
videoEnc = pipeline.create(dai.node.VideoEncoder)
videoEnc.setDefaultProfilePreset(30, dai.VideoEncoderProperties.Profile.MJPEG)

# Links
cam.preview.link(manip_mssd.inputImage)
manip_mssd.out.link(nn_mssd.input)

cam.preview.link(manip_fire.inputImage)
manip_fire.out.link(nn_fire.input)

script.inputs['detSSD'].setBlocking(False)
script.inputs['detSSD'].setQueueSize(1)
nn_mssd.out.link(script.inputs["detSSD"])

script.inputs['detFire'].setBlocking(False)
script.inputs['detFire'].setQueueSize(1)
nn_fire.out.link(script.inputs["detFire"])

script.inputs['frame'].setBlocking(False)
script.inputs['frame'].setQueueSize(1)
videoEnc.bitstream.link(script.inputs['frame'])

cam.video.link(videoEnc.input)

script.setScript("""
import socket
import time
import threading

serverFrame = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
serverFrame.bind(("0.0.0.0", 5010))
serverFrame.listen()

serverSSD = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
serverSSD.bind(("0.0.0.0", 5011))
serverSSD.listen()

serverFire = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
serverFire.bind(("0.0.0.0", 5012))
serverFire.listen()

node.warn("Server up")

labelMap_SSD = ["background", "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow",
                "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]

label_fire = ["fire", "normal", "smoke"]

client_connections = {
    "frame": [],
    "ssd": [],
    "fire": []
}

def send_frame_thread():
    try:
        while True:
            pck = node.io["frame"].tryGet()
            # log shape
            if not pck:
                continue
            node.warn(f"Frame shape: {pck.getData().shape}")
            data = pck.getData()
            ts = pck.getTimestamp()
            
            header = f"ABCDE " + str(ts.total_seconds()).ljust(18) + str(len(data)).ljust(8)

            for conn in client_connections["frame"]:
                try:
                    conn.send(bytes(header, encoding='ascii'))
                    conn.send(data)
                except Exception as e:
                    node.warn(f"Frame client disconnected: {e}")
                    client_connections["frame"].remove(conn)
                    conn.close()
    except Exception as e:
        node.warn(f"Error oak: {e}")

def send_result_nn(type):
    try:
        while True:
            pck = node.io["frame"].tryGet()
            if not pck:
                continue
            data = pck.getData()
            node.warn(f"Frame shape: {pck.getData().shape}")
            ts = pck.getTimestamp()
            data_to_send = []

            if type == 1:  # SSD
                detections_ssd = node.io["detSSD"].tryGet()
                if detections_ssd:
                    dets = detections_ssd.detections
                    for det in dets:
                        label = labelMap_SSD[det.label]
                        if label == "person":
                            det_bb = [det.label, det.xmin, det.ymin, det.xmax, det.ymax]
                            data_to_send.append(det_bb)

                for conn in client_connections["ssd"]:
                    try:
                        header = f"ABCDE " + str(ts.total_seconds()).ljust(18) + str(len(data)).ljust(8) + str(data_to_send).ljust(224)
                        conn.send(bytes(header, encoding='ascii'))
                        conn.send(data)
                    except Exception as e:
                        node.warn(f"SSD client disconnected: {e}")
                        client_connections["ssd"].remove(conn)
                        conn.close()

            elif type == 2:  # Fire Detection
                data_fire = node.io["detFire"].tryGet()
                if data_fire:
                    data_to_send = data_fire.getLayerFp16("final_result")

                for conn in client_connections["fire"]:
                    try:
                        header = f"ABCDE " + str(ts.total_seconds()).ljust(18) + str(len(data)).ljust(8) + str(data_to_send).ljust(224)
                        conn.send(bytes(header, encoding='ascii'))
                        conn.send(data)
                    except Exception as e:
                        node.warn(f"Fire Detection client disconnected: {e}")
                        client_connections["fire"].remove(conn)
                        conn.close()

    except Exception as e:
        node.warn(f"Error oak: {e}")
    
def get_thread(server, type):
    try:
        while True:
            conn, client = server.accept()
            node.warn(f"Connected to client IP: {client}, type: {type}")
            if type == 0:
                client_connections["frame"].append(conn)
                threading.Thread(target=send_frame_thread).start()
            elif type == 1:
                client_connections["ssd"].append(conn)
                threading.Thread(target=send_result_nn, args=(type, )).start()
            elif type == 2:
                client_connections["fire"].append(conn)
                threading.Thread(target=send_result_nn, args=(type, )).start()
    except Exception as e:
        node.warn("Server error:", e)

threading.Thread(target=get_thread, args=(serverFrame, 0)).start()
threading.Thread(target=get_thread, args=(serverSSD, 1)).start()
threading.Thread(target=get_thread, args=(serverFire, 2)).start()

""")

Thanks,
Jaka

Nnikul · Jan 29, 2024

Hi @jakaskerl Thank you for your response I will look into it and will try to figure the way out.
however I am stuck in on other problem. I really appreciate your help in this.

Here is snap of my code where I am working.

device_info = dai.DeviceInfo("0.0.0.0")

if device_info:

with dai.Device(pipeline, device_info) as device:

while not device.isClosed():

time.sleep(1)

else:

print(f"No device with IP address {device_info.name} found.")

if device_info:

progress = lambda p: print(f'Flashing progress: {p*100:.1f}%')

dai.DeviceBootloader(devInfo=device_info).flash(progress, pipeline)

print("Flashing completed.")

else:

print(f"No device with IP address {device_info.name} found.")

Above code does flash the script to the specific device. but the part where don't really flash and I just want to stream on my machine is not really working. throwing the following error

Or

Use constructor taking 'UsbSpeed' instead

with dai.Device(pipeline, device_info) as device:

however device is available I do have checked.

2. I am making a camera stand alone device. I will be trying different focus and different resolution based on my requirement. for now what I am planning is I will stream it in my system first once I am done, with all the setting I will flash it at single shot. That's what first question is about. However i am still looking for optimum solution of this if you can suggest something different that be great.

Sometime camera view fluctuates,.

jakaskerl · Jan 29, 2024

Hi @nikul
A single device cannot be used by both the deviceBootloader and the dai.Device(). After exiting the context of these two functions, the device will reboot which will cause the error you are experiencing.

nikul 2. I am making a camera stand alone device. I will be trying different focus and different resolution based on my requirement. for now what I am planning is I will stream it in my system first once I am done, with all the setting I will flash it at single shot. That's what first question is about. However i am still looking for optimum solution of this if you can suggest something different that be great.

Optimum solution for what exactly? Streaming or setting the resolution, etc..?

nikul Sometime camera view fluctuates,.

What do you mean by fluctuates?

Thanks,
Jaka

Nnikul · Jan 30, 2024

jakaskerl
Hi @jakaskerl

I am looking for way to view the camera(stream using mjpeg) on localhost before I flash the setting(Res,Focus,etc) into the device. The way I am flashing specific device using IP address. I want to view specific IP address instead of available device.
this not really working getting the error I shared with you earlier in this discussion.
# Specify MXID, IP Address or USB path

device_info = depthai.DeviceInfo("14442C108144F1D000") # MXID

#device_info = depthai.DeviceInfo("192.168.1.44") # IP Address

#device_info = depthai.DeviceInfo("3.3.3") # USB port name

with depthai.Device(pipeline, device_info) as device:

# ...
Apologies, I meant streaming is flickering .My observation says it happens when I use camera as standalone device not when I use my system as host.

jakaskerl · Jan 31, 2024

nikul

nikul The way I am flashing specific device using IP address. I want to view specific IP address instead of available device.

Coudly elaborate more, I'm still quite unsure of what you goal is. IP address is accessed through name property of the deviceInfo object.

nikul Apologies, I meant streaming is flickering .My observation says it happens when I use camera as standalone device not when I use my system as host.

Can you send a screenshot/video of this happening?

Thanks,
Jaka

Nnikul · Jan 31, 2024

jakaskerl Thank you for getting back.

here is the recorded video of camera behavior on stand alone mode.

video.mp4

8MB

Here is the script which basically sets MJPEG server with both views (normal and stereo). I am not sure weather or not it will work, but currently it is taking random device from the network since have both OAK-1 and OAK-D-Pro it select OAK 1 from the network and trying to run the given script causing error like this one.

Note: Even though if I disconnect all the device and just keep OAK-D-Pro PoE it still say failed to find the device even though its connected when i check the status.

Script : GitHub (GPT generated)

You did mention something like this. Apologies if still repeating the same mistake unconsciously

A single device cannot be used by both the deviceBootloader and the dai.Device(). After exiting the context of these two functions, the device will reboot which will cause the error you are experiencing.

This simple example of depth preview is not working for me.
https://github.com/luxonis/depthai-python/blob/main/examples/StereoDepth/depth_preview.py

Getting this error even after getting sure that its connected.

jakaskerl · Feb 1, 2024

HI @nikul
I tested you script and it works great on Oak-D-Pro Poe. It does not flicker at all. Are you experiencing the flickering in host mode or just in standalone? Does it help removing the color_cam.initialControl.setManualFocus(100) # 0..255?

"0.0.0.0" IP won't work, you have to specify the IP of the device directly. Camera not detected error stems from the fact that OAK-1 poe only has 1 camera (on socket 0). Stereo needs cameras on socket 1 and 2.

Thanks,
Jaka

Nnikul · Feb 1, 2024

jakaskerl
I tested you script and it works great on Oak-D-Pro Poe. It does not flicker at all. Are you experiencing the flickering in host mode or just in standalone? Does it help removing the color_cam.initialControl.setManualFocus(100) # 0..255?

It flickers only on Standalone. I have applied the same code to the all my four OAK PoE cameras however effect of this code color_cam.initialControl.setManualFocus(100) # 0..255is only appearing on OAK-D-Pro. and none other.

"0.0.0.0" IP won't work, you have to specify the IP of the device directly. Camera not detected error stems from the fact that OAK-1 poe only has 1 camera (on socket 0). Stereo needs cameras on socket 1 and 2.

0.0.0.0 is just for security purpose I am using device IP while running in into my system. I aware of the fact that I need OAK-D or OAK-D-Pro to stream depth view. i do have both of them connected to my network.

jakaskerl · Feb 2, 2024

Hi @nikul
Which Oak-D-pro Poe is this? This is what /examples/ColorCamera/rgb_preview.py prints out for a camera I tested and which had no issues with flickering:

Connected cameras: [{socket: CAM_A, sensorName: IMX378, width: 4056, height: 3040, orientation: AUTO, supportedTypes: [COLOR], hasAutofocus: 1, hasAutofocusIC: 1, name: color}, {socket: CAM_B, sensorName: OV9282, width: 1280, height: 800, orientation: AUTO, supportedTypes: [MONO], hasAutofocus: 0, hasAutofocusIC: 0, name: left}, {socket: CAM_C, sensorName: OV9282, width: 1280, height: 800, orientation: AUTO, supportedTypes: [MONO], hasAutofocus: 0, hasAutofocusIC: 0, name: right}]
Usb speed: UNKNOWN
Bootloader version: 0.0.26
Device name: OAK-D-PRO-POE  Product name: OAK-D-PRO-POE-AF

I flashed the application you have sent to the device and experienced no issues.

Thanks,
Jaka

Nnikul · Feb 2, 2024

@jakaskerl
Hi, Thank you for getting back.
Can I set the focus manually. To the OAK 1.
Here is description of my device.
[{socket: CAM_A, sensorName: IMX378, width: 4056, height: 3040, orientation: AUTO, supportedTypes: [COLOR], hasAutofocus: 0, hasAutofocusIC: 1, name: color}]

jakaskerl · Feb 3, 2024

Hi @nikul
hasAutofocus is 0 so no.

Thanks,
Jaka

Nnikul · Feb 5, 2024

Thank you @jakaskerl
1. I am unable to setManualFocus with this.
# Start defining a pipeline

pipeline = dai.Pipeline()

# Define a source - color camera

cam = pipeline.create(dai.node.ColorCamera)

cam.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)

cam.initialControl.setManualFocus(2)

[{socket: CAM_A, sensorName: IMX378, width: 4056, height: 3040, orientation: AUTO, supportedTypes: [COLOR], hasAutofocus: 0, hasAutofocusIC: 1, name: color}, {socket: CAM_B, sensorName: OV9282, width: 1280, height: 800, orientation: AUTO, supportedTypes: [MONO], hasAutofocus: 0, hasAutofocusIC: 0, name: left}, {socket: CAM_C, sensorName: OV9282, width: 1280, height: 800, orientation: AUTO, supportedTypes: [MONO], hasAutofocus: 0, hasAutofocusIC: 0, name: right}]

This camera does comes with Auto Focus features.
https://docs.luxonis.com/projects/hardware/en/latest/pages/NG9097pro/

I am getting error while installing depthAI viewer.

Requirement already satisfied: pip in c:\users\nikunayi\appdata\local\packages\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\localcache\local-packages\python311\site-packages\depthai_viewer\venv-0.1.6\lib\site-packages (23.2.1)

Collecting pip

Obtaining dependency information for pip from https://files.pythonhosted.org/packages/8a/6a/19e9fe04fca059ccf770861c7d5721ab4c2aebc539889e97c7977528a53b/pip-24.0-py3-none-any.whl.metadata

Downloading pip-24.0-py3-none-any.whl.metadata (3.6 kB)

Downloading pip-24.0-py3-none-any.whl (2.1 MB)

---------------------------------------- 2.1/2.1 MB 9.6 MB/s eta 0:00:00

Installing collected packages: pip

Attempting uninstall: pip

Found existing installation: pip 23.2.1

Uninstalling pip-23.2.1:

  Successfully uninstalled pip-23.2.1

Successfully installed pip-24.0

Looking in indexes: https://pypi.org/simple, https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/

Collecting depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475

Using cached https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/depthai-sdk/depthai_sdk-1.13.1.dev0%2Bb0340e0c4ad869711d7d5fff48e41c46fe41f475-py3-none-any.whl (225 kB)

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Collecting pytube>=12.1.0 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting depthai==2.22.0 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Using cached PyTurboJPEG-1.6.4-py3-none-any.whl

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Collecting depthai-pipeline-graph==0.0.5 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting numpy>=1.21 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting Qt.py>=1.3.0 (from depthai-pipeline-graph==0.0.5->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting packaging>=17.0 (from marshmallow==3.17.0->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting urllib3>=1.26.11 (from sentry-sdk==1.21.0->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting PyYAML (from blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting boto3 (from blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting types-PySide2 (from Qt.py>=1.3.0->depthai-pipeline-graph==0.0.5->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached types_pyside2-5.15.2.1.6-py2.py3-none-any.whl.metadata (8.1 kB)

Collecting botocore<1.35.0,>=1.34.34 (from boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Downloading botocore-1.34.34-py3-none-any.whl.metadata (5.7 kB)

Collecting jmespath<2.0.0,>=0.7.1 (from boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting s3transfer<0.11.0,>=0.10.0 (from boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached s3transfer-0.10.0-py3-none-any.whl.metadata (1.7 kB)

Collecting charset-normalizer<4,>=2 (from requests->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting idna<4,>=2.5 (from requests->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached idna-3.6-py3-none-any.whl.metadata (9.9 kB)

Collecting python-dateutil<3.0.0,>=2.1 (from botocore<1.35.0,>=1.34.34->boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)

Collecting urllib3>=1.26.11 (from sentry-sdk==1.21.0->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting six>=1.5 (from python-dateutil<3.0.0,>=2.1->botocore<1.35.0,>=1.34.34->boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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---------------------------------------- 11.9/11.9 MB 19.8 MB/s eta 0:00:00

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Using cached types_pyside2-5.15.2.1.6-py2.py3-none-any.whl (572 kB)

Installing collected packages: types-PySide2, xmltodict, urllib3, six, Qt.py, PyYAML, pytube, packaging, numpy, jmespath, idna, depthai, charset-normalizer, certifi, sentry-sdk, requests, PyTurboJPEG, python-dateutil, opencv-contrib-python, marshmallow, depthai-pipeline-graph, ahrs, botocore, s3transfer, boto3, blobconverter, depthai-sdk

Creating virtual environment...

Error occurred during dependency installation: Command '['C:\\Users\\nikunayi\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\depthai_viewer\\venv-0.1.6\\Scripts\\python', '-m', 'pip', 'install', 'depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475', '--extra-index-url', 'https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/']' returned non-zero exit status 1.

Traceback (most recent call last):

File "C:\Users\nikunayi\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\depthai_viewer\install_requirements.py", line 85, in create_venv_and_install_dependencies

subprocess.run(

File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.11_3.11.2032.0_x64__qbz5n2kfra8p0\Lib\subprocess.py", line 571, in run

raise CalledProcessError(retcode, process.args,

subprocess.CalledProcessError: Command '['C:\\Users\\nikunayi\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\depthai_viewer\\venv-0.1.6\\Scripts\\python', '-m', 'pip', 'install', 'depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475', '--extra-index-url', 'https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/']' returned non-zero exit status 1.

Deleting partially created virtual environment: C:\Users\nikunayi\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\depthai_viewer\venv-0.1.6

Requirement already satisfied: pip in c:\users\nikunayi\appdata\local\packages\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\localcache\local-packages\python311\site-packages\depthai_viewer\venv-0.1.6\lib\site-packages (23.2.1)

Collecting pip

Obtaining dependency information for pip from https://files.pythonhosted.org/packages/8a/6a/19e9fe04fca059ccf770861c7d5721ab4c2aebc539889e97c7977528a53b/pip-24.0-py3-none-any.whl.metadata

Using cached pip-24.0-py3-none-any.whl.metadata (3.6 kB)

Using cached pip-24.0-py3-none-any.whl (2.1 MB)

Installing collected packages: pip

Attempting uninstall: pip

Found existing installation: pip 23.2.1

Uninstalling pip-23.2.1:

  Successfully uninstalled pip-23.2.1

Successfully installed pip-24.0

Looking in indexes: https://pypi.org/simple, https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/

Collecting depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475

Using cached https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/depthai-sdk/depthai_sdk-1.13.1.dev0%2Bb0340e0c4ad869711d7d5fff48e41c46fe41f475-py3-none-any.whl (225 kB)

Collecting opencv-contrib-python>4 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting blobconverter>=1.4.1 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting pytube>=12.1.0 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting depthai==2.22.0 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached depthai-2.22.0.0-cp311-cp311-win_amd64.whl.metadata (8.9 kB)

Collecting PyTurboJPEG==1.6.4 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached PyTurboJPEG-1.6.4-py3-none-any.whl

Collecting marshmallow==3.17.0 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached marshmallow-3.17.0-py3-none-any.whl (48 kB)

Collecting xmltodict (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting sentry-sdk==1.21.0 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached sentry_sdk-1.21.0-py2.py3-none-any.whl (199 kB)

Collecting depthai-pipeline-graph==0.0.5 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting ahrs==0.3.1 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached AHRS-0.3.1-py3-none-any.whl (197 kB)

Collecting numpy>=1.21 (from depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting Qt.py>=1.3.0 (from depthai-pipeline-graph==0.0.5->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting packaging>=17.0 (from marshmallow==3.17.0->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting certifi (from sentry-sdk==1.21.0->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting urllib3>=1.26.11 (from sentry-sdk==1.21.0->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached urllib3-2.2.0-py3-none-any.whl.metadata (6.4 kB)

Collecting requests (from blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)

Collecting PyYAML (from blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Collecting boto3 (from blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached boto3-1.34.34-py3-none-any.whl.metadata (6.6 kB)

Collecting types-PySide2 (from Qt.py>=1.3.0->depthai-pipeline-graph==0.0.5->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached types_pyside2-5.15.2.1.6-py2.py3-none-any.whl.metadata (8.1 kB)

Collecting botocore<1.35.0,>=1.34.34 (from boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached botocore-1.34.34-py3-none-any.whl.metadata (5.7 kB)

Collecting jmespath<2.0.0,>=0.7.1 (from boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached jmespath-1.0.1-py3-none-any.whl (20 kB)

Collecting s3transfer<0.11.0,>=0.10.0 (from boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached s3transfer-0.10.0-py3-none-any.whl.metadata (1.7 kB)

Collecting charset-normalizer<4,>=2 (from requests->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl.metadata (34 kB)

Collecting idna<4,>=2.5 (from requests->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached idna-3.6-py3-none-any.whl.metadata (9.9 kB)

Collecting python-dateutil<3.0.0,>=2.1 (from botocore<1.35.0,>=1.34.34->boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)

Collecting urllib3>=1.26.11 (from sentry-sdk==1.21.0->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

Using cached urllib3-2.0.7-py3-none-any.whl.metadata (6.6 kB)

Collecting six>=1.5 (from python-dateutil<3.0.0,>=2.1->botocore<1.35.0,>=1.34.34->boto3->blobconverter>=1.4.1->depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475)

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Using cached types_pyside2-5.15.2.1.6-py2.py3-none-any.whl (572 kB)

Installing collected packages: types-PySide2, xmltodict, urllib3, six, Qt.py, PyYAML, pytube, packaging, numpy, jmespath, idna, depthai, charset-normalizer, certifi, sentry-sdk, requests, PyTurboJPEG, python-dateutil, opencv-contrib-python, marshmallow, depthai-pipeline-graph, ahrs, botocore, s3transfer, boto3, blobconverter, depthai-sdk

Creating virtual environment...

Error occurred during dependency installation: Command '['C:\\Users\\nikunayi\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\depthai_viewer\\venv-0.1.6\\Scripts\\python', '-m', 'pip', 'install', 'depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475', '--extra-index-url', 'https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/']' returned non-zero exit status 1.

Traceback (most recent call last):

File "C:\Users\nikunayi\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\depthai_viewer\install_requirements.py", line 85, in create_venv_and_install_dependencies

subprocess.run(

File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.11_3.11.2032.0_x64__qbz5n2kfra8p0\Lib\subprocess.py", line 571, in run

raise CalledProcessError(retcode, process.args,

subprocess.CalledProcessError: Command '['C:\\Users\\nikunayi\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\depthai_viewer\\venv-0.1.6\\Scripts\\python', '-m', 'pip', 'install', 'depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475', '--extra-index-url', 'https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/']' returned non-zero exit status 1.

Deleting partially created virtual environment: C:\Users\nikunayi\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\depthai_viewer\venv-0.1.6


Thank you.