https://inside-machinelearning.com › tenseur-et-dtype-uint8-float32-cest-quoi

Le dtype (uint8, float32, …) Une notion dont nous n’avons pas encore parlé est le type des valeurs contenues dans un tenseur aussi appelé dtype. Le dtype c’est la plage sur laquelle sont codé les valeurs (entier ou réel). Ces valeurs sont codés en bits. Par exemple le dtype int8 sera codé sur 8 bits, le int16 sur 16 bits, etc.

https://numpy.org › doc › stable › reference › arrays.dtypes.html

Learn how to create and use data type objects (dtype) to describe the memory layout and interpretation of array items in NumPy. See examples of scalar, structured and sub-array data types, and how to specify byte order and size.

https://numpy.org › doc › stable › user › basics.types.html

Learn how to create and use arrays with numpy.uint8 data type, which represents unsigned integers with 8 bits. See the difference between numpy.uint8 and numpy.uintc, and how to convert between NumPy and C data types.

https://stackoverflow.com › questions › 68387192

numpy.uint8: 8-bit unsigned integer (0 to 255). Most often this is used for arrays representing images, with the 3 color channels having small integer values (0 to 255). answered Jul 15, 2021 at 2:41. hpaulj.

https://www.delftstack.com › fr › tutorial › python-numpy › numpy-datatype-and-conversion

Lors de la création d’une nouvelle donnée ndarray, vous pouvez définir le type de données de l’élément par des constantes de type chaîne ou ou de données dans la bibliothèque NumPy. import numpy as np. # by string . test = np.array([4, 5, 6], dtype="int64") # by data type constant in numpy . test = np.array([7, 8, 8], dtype=np.int64)

https://docs.scipy.org › doc › numpy-1.13.0 › reference › arrays.dtypes.html

Data type objects (dtype) ¶. A data type object (an instance of numpy.dtype class) describes how the bytes in the fixed-size block of memory corresponding to an array item should be interpreted. It describes the following aspects of the data: Type of the data (integer, float, Python object, etc.)

https://numpy.org › doc › stable › reference › generated › numpy.dtype.html

Create a data type object. A numpy array is homogeneous, and contains elements described by a dtype object. A dtype object can be constructed from different combinations of fundamental numeric types. Parameters: dtype. Object to be converted to a data type object. alignbool, optional.

https://runebook.dev › fr › docs › numpy › reference › arrays.dtypes

Un objet de type de données (une instance de la classe numpy.dtype ) décrit comment les octets du bloc de mémoire de taille fixe correspondant à un élément du tableau doivent être interprétés. Il décrit les aspects suivants des données : Type de données (entier, float, objet Python , etc.)

https://pythonguides.com › python-numpy-data-types

The np.unit8 in Python data type is an unsigned 8-bit integer type used in the NumPy library, capable of representing values from 0 to 255. It’s highly efficient for memory-sensitive applications due to its compact size.

https://scikit-image.org › docs › stable › user_guide › data_types.html

OpenCV image data can be accessed (without copying) in NumPy (and, thus, in scikit-image). OpenCV uses BGR (instead of scikit-image’s RGB) for color images, and its dtype is uint8 by default (See Image data types and what they mean). BGR stands for Blue Green Red. 5.3.1. Converting BGR to RGB or vice versa#