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@dusty-nv @tomek-l
HI I am working on jetson Nano and I want to run detection with 4 usb camera streams simulteaneously. I downloaded deepstream version 5.1 for jetson from Nvidia deepstream website. After going from all steps as defined in readme. I run the script example.py but I get the following error. I have attached 4 usb webcams with my nano.
Any help please..... thanks
Downloading pretrained weights for DashCamNet model. This may take a while...
Dowloaded pre-trained DashCamNet model to: /home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/models/dashcamnet/dashcamnet_pruned_v1.0
Pipeline element is None!
Traceback (most recent call last):
File "example.py", line 16, in <module>
display=False,
File "/home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/pipelines/multicamDNN.py", line 47, in __init__
super().__init__(**kwargs)
File "/home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/pipelines/basepipeline.py", line 25, in __init__
self._p = self._create_pipeline(**kwargs)
File "/home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/pipelines/multicamDNN.py", line 52, in _create_pipeline
p = self._create_pipeline_fully_connected(self._c, self._m, **kwargs)
File "/home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/pipelines/multicamDNN.py", line 86, in _create_pipeline_fully_connected
nvinfers = [_make_element_safe("nvinfer") for _ in model_list]
File "/home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/pipelines/multicamDNN.py", line 86, in <listcomp>
nvinfers = [_make_element_safe("nvinfer") for _ in model_list]
File "/home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/utils/gst.py", line 45, in _make_element_safe
raise NameError(f"Could not create element {el_type}")
NameError: Could not create element nvinfer
Exception ignored in: <bound method BasePipeline.__del__ of <jetmulticam.pipelines.multicamDNN.CameraPipelineDNN object at 0x7f7cf107f0>>
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/pipelines/basepipeline.py", line 38, in __del__
self.stop()
File "/home/ubuntu/.local/lib/python3.6/site-packages/jetmulticam/pipelines/basepipeline.py", line 41, in stop
self._p.send_event(Gst.Event.new_eos())
AttributeError: 'CameraPipelineDNN' object has no attribute '_p'
Here is the code examples.py
import time
from jetmulticam import CameraPipelineDNN
from jetmulticam.models import PeopleNet, DashCamNet
if __name__ == "__main__":
pipeline = CameraPipelineDNN(
cameras=[0, 1, 2],
models=[
#PeopleNet.DLA1,
#DashCamNet.DLA0,
PeopleNet.GPU
],
save_video=False,
save_video_folder="/home/nx/logs/videos",
display=False,
)
while pipeline.running():
# We can access the captured images here.
# For example `pipeline.images` is a list of numpy arrays for each camera
# In my case (RGB 1080p image), `arr` will be np.ndarray with shape: (1080, 1920, 3)
arr = pipeline.images[0]
print(type(arr))
# Detections in each image are available here as a list of dicts:
dets = pipeline.detections[0]
print(dets)
# Assuming there's one detection in `image[0]`, `dets` can look like so:
# [{
# 'class': 'person',
# 'position': (361.31, 195.60, 891.96, 186.05), # bbox (left, width, top, height)
# 'confidence': 0.92
# }]
# Main thread is not tied in any computation.
# We can perform any operations on our images.
avg = pipeline.images[0].mean()
print(avg)
time.sleep(1 / 30)
I also run examples/example-no-ai.py with editing my camera 4 ids like here:
import time
from jetmulticam import CameraPipeline
if __name__ == "__main__":
p = CameraPipeline([1, 3, 0, 2])
print(p.running())
for _ in range(100):
arr = p.read(0)
if arr is not None:
print(arr.shape)
time.sleep(0.1)
and the output I get is as follows
with Sudo
sudo python3 example-no-ai.py
[sudo] password for ubuntu:
<__gi__.GstNvArgusCameraSrc object at 0x7f73d01990 (GstNvArgusCameraSrc at 0xe28d1a0)> <__gi__.Gstnvvconv object at 0x7f73d01af8 (Gstnvvconv at 0xdfed5d0)>
<__gi__.GstNvArgusCameraSrc object at 0x7f73d019d8 (GstNvArgusCameraSrc at 0xe28d860)> <__gi__.Gstnvvconv object at 0x7f73d01b88 (Gstnvvconv at 0xdfb6770)>
<__gi__.GstNvArgusCameraSrc object at 0x7f73d01a20 (GstNvArgusCameraSrc at 0xe294df0)> <__gi__.Gstnvvconv object at 0x7f73d01bd0 (Gstnvvconv at 0xdf02df0)>
<__gi__.GstNvArgusCameraSrc object at 0x7f73d01a68 (GstNvArgusCameraSrc at 0xe295420)> <__gi__.Gstnvvconv object at 0x7f73d01cf0 (Gstnvvconv at 0xdefd510)>
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:740 No cameras available
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:740 No cameras available
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:740 No cameras available
NvMMLiteOpen : Block : BlockType = 4
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:740 No cameras available
===== NVMEDIA: NVENC =====
NvMMLiteBlockCreate : Block : BlockType = 4
NvMMLiteOpen : Block : BlockType = 4
===== NVMEDIA: NVENC =====
NvMMLiteBlockCreate : Block : BlockType = 4
NvMMLiteOpen : Block : BlockType = 4
NvMMLiteOpen : Block : BlockType = 4
===== NVMEDIA: NVENC =====
NvMMLiteBlockCreate : Block : BlockType = 4
===== NVMEDIA: NVENC =====
NvMMLiteBlockCreate : Block : BlockType = 4
True
I also verify my camera ids that either they are correct or not with v4l2-ctl --list-devices
But they are fine. The output is :
I had a similar error while using GStreamer and RTSP server. I used the command -- ./examples/test-launch "nvarguscamerasrc ! video/xraw(memory:NVMM) width=1920 height=1080 framerate=30/1 format=NV12 ! omxh264enc iframeinterval=15! h264parse ! rtph264pay name=pay0 pt=96"
It shows --
stream ready at rtsp://127.0.0.1:8554/test
Then later get this error same as mentioned in the thread above --
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:740 No cameras available
Framerate set to : 30 at NvxVideoEncoderSetParameterNvMMLiteOpen : Block : BlockType = 4
===== NVMEDIA: NVENC =====
NvMMLiteBlockCreate : Block : BlockType = 4
H264: Profile = 66, Level = 40
@dusty-nv
@tomek-l
HI I am working on jetson Nano and I want to run detection with 4 usb camera streams simulteaneously. I downloaded deepstream version 5.1 for jetson from Nvidia deepstream website. After going from all steps as defined in readme. I run the script example.py but I get the following error. I have attached 4 usb webcams with my nano.
Any help please..... thanks
Here is the code examples.py
I also run examples/example-no-ai.py with editing my camera 4 ids like here:
import time
and the output I get is as follows
with Sudo
sudo python3 example-no-ai.py
I also verify my camera ids that either they are correct or not with
v4l2-ctl --list-devices
But they are fine. The output is :
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