Raspberry Pi + Oak 1

I retested rgb_preview.py and it works. However, yolo gave this: depthai-python) ali@luxonis:~/depthai-python/examples/Yolo $ python tiny_yolo.py

Using Tiny YoloV4 model. If you wish to use Tiny YOLOv3, call 'tiny_yolo.py yolo3'

[19443010711A702700] [1.1] [1726551235.306] [host] [warning] Device crashed, but no crash dump could be extracted.

Traceback (most recent call last):

File "/home/ali/depthai-python/examples/Yolo/tiny_yolo.py", line 121, in <module>

inRgb = qRgb.get()

        ^^^^^^^^^^

RuntimeError: Communication exception - possible device error/misconfiguration. Original message 'Couldn't read data from stream: 'rgb' (X_LINK_ERROR)'

If I can get depthai_SDK or depthai-experiemnts to work id be golden! (sorry typing on the pi again so its bad typing)

another error: (depthai-env) ali@luxonis:~/depthai/depthai-experiments/gen2-emotion-recognition $ python3 main.py

[2024-09-17 15:39:01] INFO [root.exit:328] Closing OAK camera

I'm using the original cable that came with it. It was my hunch that it may be a power issue as well. I bought a powered USB hub but might need to fiddle with how it's arranged a bit more. Hopefully that does the trick. Thanks everyone.

Alright, so update. I bought a Y-Splitter and that seems to have done the trick. I managed to run gen2-age-gender and gen2-emotion-recognition (separately) via depthai-experiments. Yay!

My question, and any help is appreciated, is what is the easiest way to run a simple object detection model?
I've trained the model on Ultralytics and have also managed to upload a copy to Roboflow.
The model works on the Ultralytics app (on my phone) and also works for still images on the Roboflow website.

So I got an error for a stereo camera component. I thought I could make spatial=False in main.py and then just rerun main.py but it then just kills itself?

(depthai-env) ali@luxonis:~/depthai/depthai-experiments/gen2-yolo/device-decoding $ python3 main.py --config model/Ali3.json

config: model/Ali3.json

[2024-10-06 10:42:03] INFO [root.__exit__:328] Closing OAK camera

Traceback (most recent call last):

File "/home/ali/depthai/depthai-experiments/gen2-yolo/device-decoding/main.py", line 10, in <module>

color = oak.create_camera('color')

^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/ali/depthai/depthai-env/lib/python3.11/site-packages/depthai_sdk/oak_camera.py", line 133, in create_camera

comp = CameraComponent(self._oak.device,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/ali/depthai/depthai-env/lib/python3.11/site-packages/depthai_sdk/components/camera_component.py", line 142, in __init__

res = getClosesResolution(sensor, sensor_type, width=1300)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/ali/depthai/depthai-env/lib/python3.11/site-packages/depthai_sdk/components/camera_helper.py", line 197, in getClosesResolution

for (res, size) in resolutions:

^^^^^^^^^^^

TypeError: cannot unpack non-iterable NoneType object

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And this is the code that came with main.py in gen2-yolo device decoding:

from depthai_sdk import OakCamera, ArgsParser

import argparse

# parse arguments

parser = argparse.ArgumentParser()

parser.add_argument("-conf", "--config", help="Trained YOLO json config path", default='model/yolo.json', type=str)

args = ArgsParser.parseArgs(parser)

with OakCamera(args=args) as oak:

color = oak.create_camera('color')

nn = oak.create_nn(args['config'], color, nn_type='yolo', spatial=True)

oak.visualize(nn, fps=True, scale=2/3)

oak.visualize(nn.out.passthrough, fps=True)

oak.start(blocking=True)

So that would look like this?

from depthai_sdk import OakCamera, ArgsParser
import argparse
# parse arguments

parser = argparse.ArgumentParser()
parser.add_argument("-conf", "--config", help="Trained YOLO json config path", default='model/yolo.json', type=str)
args = ArgsParser.parseArgs(parser)

with OakCamera(args=args) as oak:
color = oak.create_camera('color', resolution=(640, 480))
nn = oak.create_nn(args['config'], color, nn_type='yolo', spatial=True)
oak.visualize(nn, fps=True, scale=2/3)
oak.visualize(nn.out.passthrough, fps=True)
oak.start(blocking=True)

How do I change the version?

(depthai-env) ali@luxonis:~/depthai/depthai-experiments/gen2-yolo/device-decoding $ python main.py

config: model/yolo.json

Traceback (most recent call last):

File "/home/ali/depthai/depthai-experiments/gen2-yolo/device-decoding/main.py", line 11, in <module>

nn = oak.create_nn(args['config'], color, nn_type='yolo', spatial=False)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/ali/depthai/depthai-env/lib/python3.11/site-packages/depthai_sdk/oak_camera.py", line 323, in create_nn

comp = NNComponent(self.device,

^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/ali/depthai/depthai-env/lib/python3.11/site-packages/depthai_sdk/components/nn_component.py", line 108, in __init__

self._parse_model(model)

File "/home/ali/depthai/depthai-env/lib/python3.11/site-packages/depthai_sdk/components/nn_component.py", line 240, in _parse_model

self._parse_config(model)

File "/home/ali/depthai/depthai-env/lib/python3.11/site-packages/depthai_sdk/components/nn_component.py", line 286, in _parse_config

with model_config.open() as f:

^^^^^^^^^^^^^^^^^^^

File "/usr/lib/python3.11/pathlib.py", line 1045, in open

return io.open(self, mode, buffering, encoding, errors, newline)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

FileNotFoundError: [Errno 2] No such file or directory: 'model/yolo.json'

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