search

NVIDIA-AI-IOT / jetracer

An autonomous AI racecar using NVIDIA Jetson Nano
MIT License
1.07k stars 321 forks source link

The problem of not booting when burning jetcard image to sd card #91

Open Choikyungho9 opened 3 years ago

Choikyungho9 commented 3 years ago

jetcard (OS) state seems odd.

I put jetcard_v0p0p0.zip onto the sd card and attached it to the jetson nano.

when i burn jetcard to SD card, there is a problem that booting is not possible.

Only ndivia is displayed and it does not boot.

Are there other versions of jetcard?

please help me.

jsopdebeeck commented 3 years ago

Same here. The image is not working.

Rafipaulino commented 3 years ago

Has somebody fixed this problem? I have the same.

TomasVraspir commented 3 years ago

I have the same problem. Does it have a solution?

jsopdebeeck commented 3 years ago

Hello, I solved the issue by replacing the CPU unit with an other one (same , B01), then everything started well. Or check that your CPU unit is 100% clean and well plugged.

grahil247-code commented 3 years ago

Not sure that would fix the issue. Swapping out another CPU from the same board shows that this is possibly a firmware / driver issue. I have the same problem so something must have changed for this not to work. Hope it is resolved soon either way!

hkstemclub commented 3 years ago

Same problem here, half year before I use the same image in old jetson nano B01 board and it was working well....now I use it in the new board it doesn't work.....

legonger commented 3 years ago

I have the same problem. When I put another img file (e.g.  "jetson-nano-jp451-sd-card-image.zip") on to the same SD card, it boot normally. But I put "jetcard_v0p0p0.zip" on to the same SD card, it does not boot. Only boot logo "NVIDIA" is displayed repeatedly...

zinwalin commented 3 years ago

I have the same problem. When I put another img file (e.g.  "jetson-nano-jp451-sd-card-image.zip") on to the same SD card, it boot normally. But I put "jetcard_v0p0p0.zip" on to the same SD card, it does not boot. Only boot logo "NVIDIA" is displayed repeatedly...

same here. I have two B01 board, the same image doesn't work the same behavior even specs are same.

grahil247-code commented 3 years ago

Waveshare did send me another image that booted but has an old jetpack 4.2 on it. It booted, though, so it is with the image and not our devices. I have flashed JP4.4 which boots fine, but some install error and difficult to install, for example, Jupyter labs and connect remotely and an older version of TensorFlow 1.15.x. Finally, have a working image for the jet racer that seems to work, and I can control the car, but... The Jetracer Pro boots but errors cannot see the camera, expansion board and reports no device at i2c 0x60. I can see something on i2c 1, but still, it will not work.

I have 1x A02 and 2xB01 boards: the Jetracer and the Jetracer Pro.

Some update to the Nano just rendered the old jetcard_v0p0p0.zip image to be obsolete. Yes, it is stating the obvious and the only way forward I see is building your own image from scratch until this has been addressed. If it will ever be addressed that is

arickchan commented 3 years ago

I have tried to buy a new A02 board last week and it's work. So I think the problem is the capability between Jetcard image and the new lot if the B01 boards.

tokk-nv commented 3 years ago

Hi all, Can anybody take the debug console log (by following a method introduced in this Jetsonhacks article) and share with us?

zinwalin commented 3 years ago

They updated the image last weekend.

On Tue, Mar 9, 2021 at 7:27 PM Graham Hilton @.***> wrote:

Waveshare did send me another image that booted but has an old jetpack 4.2 on it. It booted, though, so it is with the image and not our devices. I have flashed JP4.4 which boots fine, but some install error and difficult to install, for example, Jupyter labs and connect remotely and an older version of TensorFlow 1.15.x. Finally, have a working image for the jet racer that seems to work, and I can control the car, but... The Jetracer Pro boots but errors cannot see the camera, expansion board and reports no device at i2c 0x60. I can see something on i2c 1, but still, it will not work.

I have 1x A02 and 2xB01 boards: the Jetracer and the Jetracer Pro.

— You are receiving this because you commented.

Reply to this email directly, view it on GitHub https://github.com/NVIDIA-AI-IOT/jetracer/issues/91#issuecomment-793748361, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABJKKBDJIP5GL5YKXWMEVHDTCYA25ANCNFSM4XCJXGSA .

-- -- Michael Lin Sent from mobile phone

riaz commented 3 years ago

Looks like its not resolved yet!

diamondbarcode commented 2 years ago

is anyone with a sd image that work can be share ? ..

arickchan commented 1 year ago

@tokk-nv

Hello everyone,

I tried the new image with new version of jetpack, It works perfect in the training notebook.

But when I try the road following program, error message comes with the first code I run:

OSError Traceback (most recent call last)

in ----> 1 import torch 2 import torchvision 3 4 CATEGORIES = ['apex'] 5 /usr/local/lib/python3.6/dist-packages/torch/__init__.py in 186 # See Note [Global dependencies] 187 if USE_GLOBAL_DEPS: --> 188 _load_global_deps() 189 from torch._C import * 190 /usr/local/lib/python3.6/dist-packages/torch/__init__.py in _load_global_deps() 139 lib_path = os.path.join(os.path.dirname(here), 'lib', lib_name) 140 --> 141 ctypes.CDLL(lib_path, mode=ctypes.RTLD_GLOBAL) 142 143 /usr/lib/python3.6/ctypes/__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error) 346 347 if handle is None: --> 348 self._handle = _dlopen(self._name, mode) 349 else: 350 self._handle = handle OSError: /usr/lib/aarch64-linux-gnu/libgomp.so.1: cannot allocate memory in static TLS block Any idea to solve the problem? thanks everyone help me. Rick