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Camera demo has some issue with C920 nor ZED #8
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Could you give some details about the shape of color_mask, color_seg and img? Thank you! |
Thank you for the comment.
There is no image from attached ZED camera nor Logicool C920 camera.
C920 indicate blue light that camera try to get images.
But software is shutdown with attached output.
From: olivia23333 ***@***.***>
Sent: Tuesday, August 31, 2021 5:37 PM
To: hustvl/YOLOP ***@***.***>
Cc: Jiroh ***@***.***>; Author ***@***.***>
Subject: Re: [hustvl/YOLOP] Camera demo has some issue with C920 nor ZED
(#8)
Could you give some details about the shape of color_mask, color_seg and
img? Thank you!
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Setup on Jetson Xavier AGX; Jetpack4.5.1, Pytorch==1.8.0, Torchvision==0.9.0, etc.
YOLOP works on demo.py by images and mp4 video.
"python tools/demo.py --source 0" has stop working and following all output with C920.
jetson@xavier-agx:~/YOLOP$ python3 tools/demo.py --source 0
['/home/jetson/YOLOP/tools', '/usr/lib/python36.zip', '/usr/lib/python3.6', '/usr/lib/python3.6/lib-dynload', '/home/jetson/.local/lib/python3.6/site-packages', '/home/jetson/.local/lib/python3.6/site-packages/torchvision-0.9.0-py3.6-linux-aarch64.egg', '/home/jetson/.local/lib/python3.6/site-packages/Pillow-8.3.1-py3.6-linux-aarch64.egg', '/home/jetson/.local/lib/python3.6/site-packages/scipy-1.4.1-py3.6-linux-aarch64.egg', '/usr/local/lib/python3.6/dist-packages', '/usr/lib/python3/dist-packages', '/usr/lib/python3.6/dist-packages', '/home/jetson/YOLOP']
=> creating runs/BddDataset/_2021-08-31-15-38
Using torch 1.8.0 CPU
[ WARN:0] global /home/nvidia/host/build_opencv/nv_opencv/modules/videoio/src/cap_gstreamer.cpp (933) open OpenCV | GStreamer warning: Cannot query video position: status=0, value=-1, duration=-1
1/1: 0... success (inf frames 2304x1536 at 2.00 FPS)
0%| | 0/1 [00:00<?, ?it/s]/home/jetson/.local/lib/python3.6/site-packages/torch/nn/functional.py:3455: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode)
0%| | 0/1 [00:05<?, ?it/s]
Traceback (most recent call last):
File "tools/demo.py", line 174, in
detect(cfg,opt)
File "tools/demo.py", line 127, in detect
img_det = show_seg_result(img_det, (da_seg_mask, ll_seg_mask), _, _, is_demo=True)
File "/home/jetson/YOLOP/lib/utils/plot.py", line 57, in show_seg_result
img[color_mask != 0] = img[color_mask != 0] * 0.5 + color_seg[color_mask != 0] * 0.5
IndexError: boolean index did not match indexed array along dimension 0; dimension is 1536 but corresponding boolean dimension is 1284
The text was updated successfully, but these errors were encountered: