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Bookmark or Share- Python OpenCV2 (cv2) wrapper to get image size? - Stack Overflowcv2 uses numpy for manipulating images, so the proper and best way to get the size of an image is using numpy.shape. Assuming you are working with BGR images, here is an example: >>> import numpy as np >>> import cv2 >>> img = cv2.imread('foo.jpg') >>> height, width, channels = img.shape >>> print height, width, channels 600 800 3
- What does shape[0] and shape[1] do in python? - Stack OverflowIn this case your training set will be of the shape (n,x,y). The fourth dimension in your data is the number of channels (3, or RGB in this case). In your dataset the height and the width of each image is the same and thus the size of the image can be retrieved merely by the third line: num_px = train_set_x_orig.shape[1]
- PyTorch: How to get the shape of a Tensor as a list of intA torch.Size object is a subclass of tuple, and inherits its usual properties e.g. it can be indexed: v = torch.tensor([[1,2], [3,4]]) v.shape[0] >>> 2. Note its entries are already of type int. If you really want a list though, just use the list constructor as with any other iterable: list(v.shape)
- Keras input explanation: input_shape, units, batch_size, dim, etcGiven the input shape, all other shapes are results of layers calculations. The "units" of each layer will define the output shape (the shape of the tensor that is produced by the layer and that will be the input of the next layer). Each type of layer works in a particular way.
- How can I get a list shape without using numpy? - Stack Overflowdef get_shape(lst, shape=()): """. returns the shape of nested lists similarly to numpy's shape. :param lst: the nested list. :param shape: the shape up to the current recursion depth. :return: the shape including the current depth. (finally this will be the full depth) """. if not isinstance(lst, Sequence):
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