I have been trying to make an inference using the Yolov4 Darknet model I trained, and whenever I try to run the Command in Powershell, all It does is print out Cuda Version and OpenCv Version. If anybody has experienced this or knows a solution that would be amazing.
You will have to specify the input file/video as the last cmd line argument to perform inference on that particular file/video.
For example:
input image: darknet.exe detector test cfg/coco.data yolov4.cfg yolov4.weights -ext_output dog.jpg
video: darknet.exe detector demo cfg/coco.data cfg/yolov4.cfg yolov4.weights -ext_output test.mp4
WebCam 0: darknet.exe detector demo cfg/coco.data cfg/yolov4.cfg yolov4.weights -c 0
Related
I am using nvidia jetson nano with rpi camera to run yolov3, i'm 100% sure that the camera is compatible and working perfectly.
when I tried to run live demo using this command
./darknet detector demo data/yolo.data cfg/yolov3_custom_train.cfg
yolov3_custom_train_3000.weights -c 0
CUDA-version: 10000 (10000), cuDNN: 7.6.3, GPU count: 1 OpenCV
version: 4.3.0 Demo net.optimized_memory = 0
i get the following warnings
[ WARN:0] global
/home/jn/opencv_build/opencv/modules/videoio/src/cap_gstreamer.cpp
(1759) handleMessage OpenCV | GStreamer warning: Embedded video
playback halted; module v4l2src0 reported: Internal data stream error.
[ WARN:0] global
/home/jn/opencv_build/opencv/modules/videoio/src/cap_gstreamer.cpp
(888) open OpenCV | GStreamer warning: unable to start pipeline [
WARN:0] global
/home/jn/opencv_build/opencv/modules/videoio/src/cap_gstreamer.cpp
(480) isPipelinePlaying OpenCV | GStreamer warning: GStreamer:
pipeline have not been created
then the demo window pops up and i get a constant green screen
is there any recommended solution?
the green screen i get
How can I detect if my MicroPython script is running on ESP32 or ESP8266?
I want to make it work on both platforms, but deep sleep requires different implementation depending on the hardware.
You can use uos.uname().sysname to detect the hardware platform.
Here is an example script:
import uos
print(uos.uname())
sysname = uos.uname().sysname
if sysname == 'esp32':
print('detected ESP32')
elif sysname == 'esp8266':
print('detected ESP8266')
else:
print('something else')
Demo script output on ESP8266:
$ ampy run detect.py
(sysname='esp8266', nodename='esp8266', release='2.2.0-dev(9422289)', version='v1.11-8-g48dcbbe60 on 2019-05-29', machine='ESP module with ESP8266')
detected ESP8266
Demo script output on ESP32:
$ ampy run detect.py
(sysname='esp32', nodename='esp32', release='1.11.0', version='v1.11 on 2019-05-29', machine='ESP32 module with ESP32')
detected ESP32
Running the example /examples/kuka_iiwa_arm/kuka_simulation gives me the following error:
Blockquote
Traceback (most recent call last):
File "/home/felix/.cache/bazel/_bazel_felix/6a5b9f62883c4665b1f398a636821629/external/drake_visualizer/lib/python2.7/site-packages/director/lcmUtils.py", line 117, in handleMessage
callback(msg, channel=channel)
File "/home/felix/git/drake/bazel-bin/tools/drake_visualizer.runfiles/drake/tools/workspace/drake_visualizer/plugin/show_frame.py", line 93, in _handle_message
frame_channel.handle_message(msg)
File "/home/felix/git/drake/bazel-bin/tools/drake_visualizer.runfiles/drake/tools/workspace/drake_visualizer/plugin/show_frame.py", line 36, in handle_message
vis.updateFrame(transform, name, parent=folder, scale=0.1)
File "/home/felix/.cache/bazel/_bazel_felix/6a5b9f62883c4665b1f398a636821629/external/drake_visualizer/lib/python2.7/site-packages/director/visualization.py", line 879, in updateFrame
obj.copyFrame(frame)
AttributeError: 'ContainerItem' object has no attribute 'copyFrame'
Example was started with:
bazel-bin/tools/drake_visualizer &
./bazel-bin/examples/kuka_iiwa_arm/kuka_simulation
bazel-bin/lcmtypes/drake-lcm-spy shows that the channel DRAKE_DRAW_FRAMES is up and messages are being transmitted.
Information about my system:
Operating system: Ubuntu 18.04
gcc: gcc (Ubuntu 7.4.0-9ubuntu1~18.04.york0) 7.4.0
python: Python 2.7.15+ // This is the default python version
bazel run #drake//common:print_host_settings: gcc (Ubuntu 7.4.09ubuntu1~18.04.york0) 7.4.0
cmake: 3.15.4
drake was built from source using bazel 0.29.0
If I run
bazel-bin/tools/drake_visualizer &
./bazel-bin/manipulation/util/geometry_inspector ./manipulation/models/iiwa_description/sdf/iiwa14_no_collision.sdf
The Kuka arm is shown in the visualizer and I can use the sliders to control the configuration of the arm.
Edit: My problem is that when I run /examples/kuka_iiwa_arm/kuka_simulation, no frames are displayed in the visualizer.
This should be fixed once we update the version of Director shipped with Drake.
We're already in the process of doing so via our Python 3 update: https://github.com/RobotLocomotion/drake/issues/12046
Thanks for reporting this!
I am new to OpenCV and Google Colab. I have been working on a project that requires me to take the real-time image frames from the webcam and process it. But the problem is from the below code the 'frame' always returns a 'None' type and my webcam does not seem to switch on. But using the example code from Colab to capture images works fine:
How to use cap = cv2.VideoCapture(0) in Google Colab
Here is the code that fails:
cap = cv2.VideoCapture(0)
ret, frame = cap.read()
frame = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
---> 19 frame = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
error: OpenCV(3.4.3) /io/opencv/modules/imgproc/src/color.cpp:181: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'
try replace the first line with
frame = cv2.imread('your_image.png',0)
If it works, then the high chance is your camera issue.
There could be multiple reason. try
sudo apt-get install ffmpeg
sudo apt-get install cheese
cheese
to see if you can get video feed in ubuntu. If can, then its opencv config issue. if cannot then its either driver or hardware issue.
If its driver issue. follow https://help.ubuntu.com/community/Webcam to driver
If hardware broke down, not much you can do software
I'm working on a project that I found online (Yolo Object Detection with OpenCV, one of Pyimageresearch projects). So, I downloaded the whole code and saved it in the Downloads folder as it was recommended the run the cmd line script:
python /home/ubuntu/Downloads/yolo-object-detection/yolo_video.py \
> --input /home/ubuntu/Downloads/yolo-object-detection/videos/WS-1sec.mp4 \
> --output /home/ubuntu/Downloads/yolo-object-detection/output/WS-1sec.avi \
> --yolo /home/ubuntu/Downloads/yolo-object-detection/yolo-coco
but the output was:
[INFO] loading YOLO from disk...
OpenCV(3.4.1-dev) Error: Parsing error (Unknown layer type: shortcut) in ReadDarknetFromCfgFile, file /home/ubuntu/src/opencv/modules/dnn/src/darknet/darknet_io.cpp, line 503
Traceback (most recent call last):
File "/home/ubuntu/Downloads/yolo-object-detection/yolo_video.py", line 42, in <module>
net = cv2.dnn.readNetFromDarknet(configPath, weightsPath)
cv2.error: OpenCV(3.4.1-dev) /home/ubuntu/src/opencv/modules/dnn/src/darknet/darknet_io.cpp:503: error: (-212) Unknown layer type: shortcut in function ReadDarknetFromCfgFile
I'm running the same exact version of OpenCV 3.4.1 on another machine and it worked there! This time I'm working on the Tetson TX2 but didn't rum!
Link to original project is here.
Any idea why these error occurs please!?
I think you might have the wrong OpenCV version. Check this answer:
OpenCV unknown layer type running darknet detect
"Support for running YOLOv3 has been added to OpenCV master branch (3.4.3)."