size

Swift - How to get video dimension?

懵懂的女人 提交于 2020-08-01 05:08:30
问题 I am working on a video editing app where each video gets squared in such a way that no portion of the video gets cropped.For this, in case of portrait video, it contains black portion on left & right and for landscape video, it contains black portion on top & bottom side of the video. Black portions are part of the video, they are not for AVPlayerViewController . Here is the sample, I need to cover these black portions with some CALayers . What will be the frame( CGRect ) of the CALayer ? I

svg size isn't working with javascript

大城市里の小女人 提交于 2020-07-29 20:15:05
问题 svg size isn't working with javascript no mater what I do. I tried every thing but the size is all ways 0px * 0px. If I do it in the html code it works fine. Is there any know reason why it might not work. If you need some of my code just ask. okay here's some code... var svg = document.createElement("svg"); svg.setAttribute("style", "border: 1px solid black"); svg.setAttribute("height",20); svg.setAttribute("width",20); document.getElementById("container").appendChild(svg); I also tried

Is the size of an object equivalent to the size of another based upon the same alignment and/or representation?

萝らか妹 提交于 2020-07-23 06:45:32
问题 The C standard states (emphasize mine): 28 A pointer to void shall have the same representation and alignment requirements as a pointer to a character type. 48) Similarly, pointers to qualified or unqualified versions of compatible types shall have the same representation and alignment requirements. All pointers to structure types shall have the same representation and alignment requirements as each other. All pointers to union types shall have the same representation and alignment

Calculating shape of conv1d layer in Pytorch

浪尽此生 提交于 2020-07-10 01:52:10
问题 How we can calculate the shape of conv1d layer in PyTorch. IS there any command to calculate size and shape of these layers in PyTorch. nn.Conv1d(depth_1, depth_2, kernel_size=kernel_size_2, stride=stride_size), nn.ReLU(), nn.MaxPool1d(kernel_size=2, stride=stride_size), nn.Dropout(0.25)``` 回答1: The output size can be calculated as shown in the documentation nn.Conv1d - Shape: The batch size remains unchanged and you already know the number of channels, since you specified them when creating