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

[Choikyungho9]

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]

Same here. The image is not working.

[Rafipaulino]

Has somebody fixed this problem? I have the same.

[TomasVraspir]

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

[jsopdebeeck]

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]

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]

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]

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]

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]

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]

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]

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

[zinwalin]

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.

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[riaz]

Looks like its not resolved yet!

[diamondbarcode]

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

[arickchan]

@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