Using TensorFlow To Recognize Your Own Objects

When the time comes to add an object recognizer to your hack, all you need do is choose from many of the available ones and retrain it for your particular objects of interest. To help with that, [Edje Electronics] has put together a step-by-step guide to using TensorFlow to retrain Google’s Inception object recognizer. He does it for Windows 10 since there’s already plenty of documentation out there for Linux OSes.

You’re not limited to just Inception though. Inception is one of a few which are very accurate but it can take a few seconds to process each image and …read more

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Game-Ception: Pokemon Red Playable Inside Minecraft

If you’ve ever wanted to take a dive into and visualize a game’s code, this could be a seminal example in a literal sense. After twenty-one months of effort, the entire Pokemon Red game is now playable inside Minecraft.

[Mr. Squishy] is the mad genius behind this project, laboriously re-coding the game literally block by block. A texture pack is needed for the specific sprites, but otherwise it is playable without mods. It’s not immediately apparent when loading in to the level, but chip your way through the floor of the stadium and you are confronted by something awe-inspiring: sprawling …read more

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Google’s Inception Sees This Turtle as a Gun; Image Recognition Camouflage

The good people at MIT’s Computer Science and Artificial Intelligence Laboratory [CSAIL] have found a way of tricking Google’s InceptionV3 image classifier into seeing a rifle where there actually is a turtle. This is achieved by presenting the classifier with what is called ‘adversary examples’.

Adversary examples are a proven concept for 2D stills. In 2014 [Goodfellow], [Shlens] and [Szegedy] added imperceptible noise to the image of a panda that from then on was classified as gibbon. This method relies on the image being undisturbed and can be overcome by zooming, blurring or rotating the image.

The applicability for real …read more

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