kvmrelief.blogg.se

Python is a general-purpose scripting language.

"These dolls will feel and smell just like real children and have all the naughty parts," Dobson said. Blogger is a hosted blog publishing system, owned by Google. Instead, Dobson is starting a company that will create and market life-like male and female child and baby love dolls that pedophiles can molest and have sexual relations with. You can try to get a pedophile to refrain from touching kids - and that sometimes works - but these people desire children and that desire is deep inside their genes. "Look, you can't change a pedophile's sexual-orientation, and that's what it is, an orientation, any more than you can a homo or heterosexual's, Dobson told Christian Family Daily.

For years, Dobson tried to rehabilitate pedophiles within the Colorado prison system and through Christian outreach programs, but Dobson said his efforts failed. However, the abuse inspired Dobson to spend most of his adult life working to cure pedophilia. He was repeatedly molested at age 10 by his 19-year-old-sister and says the scars have never healed. Hopefully you see something like this: data/dog.jpg: Predicted in 0.160994 seconds.Buck Dobson knows what it is like to suffer at the hands of pedophile.

darknet classify cfg/tiny.cfg tiny.weights data/dog.jpg Here's how to use it in Darknet (and also how to install Darknet): git clone The real winner here is clearly the Darknet reference model but if you insist on wanting a small model, use Tiny Darknet. Alexnet was a great first pass at classification but we shouldn't be stuck back in the days when networks this bad are also this slow!īut anyway, people are super into SqueezeNet so if you really insist on small networks, use this: Tiny Darknet Model

So what about SqueezeNet? Sure the weights are only 4.8 MB but a forward pass is still 2.2 billion operations. Darknet is 2.9 times faster and it's small and it's 4% more accurate. When most high quality images are 10MB or more why do we care if our models are 5 MB or 50 MB? If you want a small model that's actually FAST, why not check out the Darknet reference network? It's only 28 MB but more importantly, it's only 800 million floating point operations. SqueezeNet is cool but it's JUST optimizing for parameter count. Browse 144 authentic ls magazine stock photos, high-res images, and pictures, or explore additional ls models or ls land stock images to find the right photo at the right size & resolution for your project. I've heard a lot of people talking about SqueezeNet.