darknet.py | network application with no dependencies other than Python | Proxy library
kandi X-RAY | darknet.py Summary
kandi X-RAY | darknet.py Summary
darknet.py is a network application with no dependencies other than Python and Tor, useful to anonymize the traffic of linux servers and workstations. The action darknet.py performs is to redirect all traffic via SOCKS5 (Tor) Proxy using the Transparent Proxy Method. DNS requests are also anonymized and darknet.py makes DNS Leak almost impossible.
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Top functions reviewed by kandi - BETA
- Run darknet
- Start Torinux
- Perform tcp
- Opens the torrc config file
- Backuptor config file
- Sets net
- Run ipv4
- Disable IP4 forwarding
- Reset the torrc file
- Disable IPv6
- Generate tpass password
- Configures torrc file
- Sets the environment
- Return unset iptables rules
- Stops the darknet
- Configure torrc file
- Change MAC addresses
- Returns the rules for the given torid
- Return the torrc file
- Restart tor service
darknet.py Key Features
darknet.py Examples and Code Snippets
Community Discussions
Trending Discussions on darknet.py
QUESTION
Folks I'm trying to run the following code on manjaro linux. But as I start the server with:
...ANSWER
Answered 2020-Oct-01 at 02:16darknet376 comes with its own, outdated copy of libstdc++.so.6, which overrides the system version (either due to LD_LIBRARY_PATH or some RPATH or RUN_PATH setting directly in an ELF .so file).
You should be able to work around this by simply deleting the libstdc++.so.6 file (the one in the darknet376 directory tree, not the system version in /lib) because the system version is sufficiently new, so the bundled version is probably not required for running this software.
QUESTION
i have a script that recognize plates from camera, and now i need the same script to recognize from other camera so in short it needs to recognize from two cameras at once ,i am using Tensoflow/keras and YOLO object detection , can someone suggest sollution to this , i tried with different threads but i could not start the second thread , i will post what i have tried
...ANSWER
Answered 2020-Aug-23 at 19:20target= in Thread needs function's name without () and arguments - and it will later use () to start it.
Your current code doesn't run functions in threads but it works like
QUESTION
I'm using the darknet repository from https://github.com/pjreddie/darknet
Using darknet, I can change my GPU at run-time where my model will run.
For example, the following code loads the darknet model weights on GPU 0, and I run prediction on 10 images.
...ANSWER
Answered 2020-May-21 at 12:33So, I did a benchmark and it seems Thread is the way to go as creating a multiprocessing pool each time I get a request is expensive.
The following code achieves what I need, I loaded two models in two separate GPUs and each time I get a request, I use ThreadPoolExecutor to run two models in parallel which speeds up the prediction up to 2.3 times (min 1.8 times) [time.time() is not that accurate, but I'll take that for a rough estimate] which is enough for me with 2 GPUs.
QUESTION
I am running a program darknet.py from within my ubuntu terminal by typing python3 darknet.py.
It works perfectly and now I am trying to include it in my own program. But when I call it I get errors. I am not sure what is causing this.
I have already included #!usr/bin/env python3 but no luck.
I am trying to call it with os.systems('/home/bob/DarknetAB/darknet/darknet.py')
The errors I get are as follows
ANSWER
Answered 2020-Apr-29 at 16:38Did you try to do the following?
QUESTION
I want to use YOLOv3( https://github.com/pjreddie/darknet ) algorithm for detection. I am using intel's DE10 Nano FPGA board with Linux installed. When I built YOLOv3 (from original source) and ran it, I am getting error "Segmentation fault(core dumped)". I did lot of googling and research but none of them helped to fix this issue.
I used pre-built weights and configuration files i.e I ran the below command
"./darknet detect cfg/yolov3-tiny.cfg yolov3-tiny.weights data/dog.jpg"
but got the error as stated above.But the same thing runs with out any hiccups on my computer and several others, but not on my Devboard. Then I started debugging(using lot of printf statements) the code from "darknet.py" in "python" directory and found that the error resides in
"yolo_layer.c" file
line.no.336-> "dets[count].prob[j] = (prob > thresh) ? prob : 0;"
in "get_yolo_detections" function.
I have no idea how to fix this. Please help.
I've followed function to function and file to file to see where the error is from.
...ANSWER
Answered 2019-Jul-31 at 14:46Finally, found the problem and the solution. The problem lies in "src/parser.c" file when weights are being loaded. The function that loads weights from the '.weights' file relies upon the underlying machine architecture( 32-bit or 64-bit). The .weights file that is created when training is written with size 64-bit as the training is done on 64-bit machine, since devices like jetson, raspberry pi, de10 Nano, etc. have 32-bit architectures, they load weights as 32-bit format from weights file.
Thus there is compatibility issue( THE WEIGHTS ARE NOT CROSS PLATFORM ).
To Fix this issue, change
QUESTION
Here is a snippet of code I have to convert a numpy array to c_float ctype array so I can pass it to some functions in C language:
...ANSWER
Answered 2018-Dec-13 at 16:23So I managed to do it in this weird way using numpy:
QUESTION
I am trying to run multiple Yolos in parallel in Python.
I have a function that I am trying to use as the worker. something like this:
...ANSWER
Answered 2019-Jan-03 at 22:31Thanks to this I found the problem is that you can't share the context in CUDA between processes with different PIDs which makes sense. So I found that if I run related things (in my case, net) in the same process then it works okay. before this I was loading weights before I start the worker.
QUESTION
I am trying pass in-memory images to Yolo rather than file addresses.
In the source code it reads the image using openCV. Since openCV return a mat format in c++ then it converts mat format to image format using mat_to_image(mat im) function.
But opencv in python uses numpy.ndarray so I cant use mat_to_image().
So I tried to put the numpy array in image format myself following the authors code here we have:
...ANSWER
Answered 2018-Dec-12 at 04:00Well I managed to do it in this way:
here is how you can convert a numpy array to image format:
QUESTION
I've succesfully installed darkflow-1.0.0 (https://github.com/thtrieu/darkflow) on the Windows 10 using the pip install . command.
ANSWER
Answered 2018-Oct-03 at 17:43This is a name clash: you have successfully installed the package via pip install ., so now darkflow is available in sys.path via site-packages directory. However, when you run python script.py, the current working directory is prepended to sys.path, so if the current dir contains the package darkflow, it is selected before the one installed in site-packages. Since the source code directory doesn't contain the shared object, the script fails.
Solution is either to run the script from another directory, e.g.
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Install darknet.py
You can use darknet.py like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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