Darknet is easy to install with only two optional dependancies:
Tor Browser aims to make all users look the same, making it difficult for you to be fingerprinted based on your browser and device information. MULTI-LAYERED ENCRYPTION Your traffic is relayed and encrypted three times as it passes over the Tor network.
- Tor Browser aims to make all users look the same, making it difficult for you to be fingerprinted based on your browser and device information. MULTI-LAYERED ENCRYPTION. Your traffic is relayed and encrypted three times as it passes over the Tor network. The network is comprised of thousands of volunteer-run servers known as Tor relays.
- Tor – The Onion Router This is the browser that initially opened the gates for dark web browsing, allowing users both high security and anonymity when using the deep and dark web. Even though it was hacked by the FBI back in 2014, it came back twice as secure and it is still the most popular choice of browsers for accessing the dark web.
- OpenCV if you want a wider variety of supported image types.
- CUDA if you want GPU computation.
Both are optional so lets start by just installing the base system. I've only tested this on Linux and Mac computers. If it doesn't work for you, email me or something?
Installing The Base System
First clone the Darknet git repository here. This can be accomplished by:
If this works you should see a whole bunch of compiling information fly by:
If you have any errors, try to fix them? If everything seems to have compiled correctly, try running it!
You should get the output:
How To Get On Darknet
Great! Now check out the cool things you can do with darknet here.
Compiling With CUDA
Darknet on the CPU is fast but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. I won't go into CUDA installation in detail because it is terrifying.
Once you have CUDA installed, change the first line of the
Makefile in the base directory to read:
Now you can
make the project and CUDA will be enabled. By default it will run the network on the 0th graphics card in your system (if you installed CUDA correctly you can list your graphics cards using
nvidia-smi). If you want to change what card Darknet uses you can give it the optional command line flag
-i <index>, like:
If you compiled using CUDA but want to do CPU computation for whatever reason you can use
-nogpu to use the CPU instead:
Enjoy your new, super fast neural networks!
Compiling With OpenCV
By default, Darknet uses
stb_image.h for image loading. If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk.
First install OpenCV. If you do this from source it will be long and complex so try to get a package manager to do it for you.
Next, change the 2nd line of the
Makefile to read:
You're done! To try it out, first re-
make the project. Then use the
imtest routine to test image loading and displaying:
If you get a bunch of windows with eagles in them you've succeeded! They may look like:
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Darknet Browser Mac Version
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How To Browse The Darknet
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