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Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
A directory traversal (or path traversal) attack exploits insufficient security validation or sanitization of user-supplied file names, such that characters representing "traverse to parent directory" are passed through to the operating system's file system API. An affected application can be exploited to gain unauthorized access to the file ...
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Collision detection utilizes time coherence to allow even finer time steps without much increasing CPU demand, such as in air traffic control. After an inelastic collision, special states of sliding and resting can occur and, for example, the Open Dynamics Engine uses constraints to simulate them. Constraints avoid inertia and thus instability.
It is an open file format and has been adopted by other 3D computer graphics application vendors. The OBJ file format is a simple data-format that represents 3D geometry alone – namely, the position of each vertex , the UV position of each texture coordinate vertex, vertex normals , and the faces that make each polygon defined as a list of ...
For example, OS/360 and successors call the first format a load module and the second an object module. In this case the files have entirely different formats. [2] DOS and Windows also have different file formats for executable files and object files, such as Portable Executable for executables and COFF for object files in 32-bit and 64-bit ...
The Hough transform [3] can be used to detect lines and the output is a parametric description of the lines in an image, for example ρ = r cos(θ) + c sin(θ). [1] If there is a line in a row and column based image space, it can be defined ρ, the distance from the origin to the line along a perpendicular to the line, and θ, the angle of the perpendicular projection from the origin to the ...
Thus, prey feature detection is not an all-or-nothing condition, but rather a matter of degree: the greater an object's releasing value as a prey stimulus, the stronger is prey-selective T5.2 neuron's discharge frequency, the shorter is toad's prey-catching response latency, and the higher is the number of prey-catching responses during a ...