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  • upsample.rar

    2019-09-02 16:23:51
    caffe1.x上扩展的upsample层代码。用于自己留存。
  • upsample layer problem

    2020-12-01 12:10:48
    <div><p>Hello. When I run SegNet on my own data, I produce the following error: <p>I0926 14:14:41.714001 12023 dense_image_data_layer.cpp:41] Opening file ./SegNet/CamVid/train.txt ...
  • Upsample factor?

    2020-12-05 10:52:00
    <div><p>Interested in using upsample as preprocessing, with subsequent correction of the result to the original scale.</p><p>该提问来源于开源项目:DanBloomberg/leptonica</p></div>
  • caffe_upsample.proto

    2018-12-11 13:54:34
    caffe.proto中没有UpsampleLayer,因此针对caffe.proto自行添加了upsample layer,可使用protobuf对其进行编译生成caffe_upsample_pb2.py文件
  • About upsample_bilinear

    2020-12-29 10:22:04
    upsample_bilinear" in UNet is changed to be "Deconvolution" in ncnn. But Deconvolution is not the meaning of upsample_bilinear. How to cope this issue? Thanks!</p><p>该提问来源于开源项目&#...
  • <div><p>This operator has the same output as Pytorch upsample with nearest mode.</p><p>该提问来源于开源项目:gorgonia/gorgonia</p></div>
  • <div><p>Converting Bilinear upsample layer failed. <p><code>In function importUpsample: [8] Assertion failed: mode == "nearest"</code></p> <p>Is bilinear upsample supported? Only ...
  • Gather in Upsample problem

    2020-11-25 13:40:20
    onnx::Shape(%205), scope: ResNet18_OneConvDecoder/DecoderBlock[center]/Sequential[block]/Upsample[0] %208 : Long() = onnx::Gather,%20%206">axis=0, scope: ResNet18_OneConvDecoder/DecoderBlock...
  • pytorch实现upsample

    千次阅读 2019-08-11 16:16:14
    这里实现的是一个比较偏的upsample,是朋友问我的,顺手记录下来。 实现的效果如下: 输入: 输出: 实现的是按相同值内插。实现方法是meshgrid,这个函数很好用,可以在输入x坐标和y坐标的情况下,返回由其组成...

    这里实现的是一个比较偏的upsample,是朋友问我的,顺手记录下来。

    实现的效果如下:

    输入:

    输出:

    实现的是按相同值内插。实现方法是meshgrid,这个函数很好用,可以在输入x坐标和y坐标的情况下,返回由其组成的所有可能坐标组合。具体实现如下:

    展开全文
  • MATLAB函数upsample的使用

    千次阅读 2019-10-11 17:35:18
    upsample Increase sample rate by integer factor collapse all in page Syntax y = upsample(x,n) y = upsample(x,n,phase) Description example y = upsample(x,n) increases the sample rate of x by inserting...

    upsample

    Increase sample rate by integer factor collapse all in page
    Syntax
    y = upsample(x,n)
    y = upsample(x,n,phase)
    Description
    example
    y = upsample(x,n) increases the sample rate of x by inserting n – 1 zeros between samples. If x is a matrix, the function treats each column as a separate sequence.
    y = upsample(x,n,phase) specifies the number of samples by which to offset the upsampled sequence.
    Examples
    collapse all
    Increase Sample Rates
    Open Live Script
    Increase the sample rate of a sequence by a factor of 3.

    x = [1 2 3 4];
    y = upsample(x,3)
    y = 1×12

         1     0     0     2     0     0     3     0     0     4     0     0

    Increase the sample rate of the sequence by a factor of 3 and add a phase offset of 2.

    x = [1 2 3 4];
    y = upsample(x,3,2)
    y = 1×12

         0     0     1     0     0     2     0     0     3     0     0     4

    x1= [1 2 3 4];
    y = upsample(x,3,1)
    y = 1×12

         0     1     0     0     2     0     0     3     0     0     4

    Increase the sample rate of a matrix by a factor of 3.

    x = [1 2;
         3 4;
         5 6];
    y = upsample(x,3)
    y = 9×2

         1     2
         0     0
         0     0
         3     4
         0     0
         0     0
         5     6
         0     0
         0     0

    Input Arguments
    collapse all
    x — Input array
    vector | matrix
    Input array, specified as a vector or matrix. If x is a matrix, the function treats the columns as independent channels.

    Example: cos(pi/4*(0:159)) + randn(1,160) specifies a sinusoid embedded in white Gaussian noise.

    Example: cos(pi./[4;2]*(0:159))' + randn(160,2) specifies a two-channel noisy sinusoid.

    Data Types: single | double
    Complex Number Support: Yes
    n — Upsampling factor
    positive integer
    Upsampling factor, specified as a positive integer.

    Data Types: single | double
    phase — Offset
    0 (default) | positive integer
    Offset, specified as a positive integer from 0 to n – 1.

    Data Types: single | double
    Output Arguments
    collapse all
    y — Upsampled array
    vector | matrix
    Upsampled array, returned as a vector or matrix. y has x × n samples.

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  • torch之nn.Upsample

    千次阅读 2019-07-11 16:34:27
    nn.Upsample 详见官方手册nn.Upsample,但是简单解释如下: 作用:上采样 定义:CLASS torch.nn.Upsample(size=None, scale_factor=None, mode='nearest', align_corners=None) 参数: 计算: ...

    nn.Upsample

    详见官方手册nn.Upsample,但是简单解释如下:

    • 作用:上采样
    • 定义:CLASS torch.nn.Upsample(size=None, scale_factor=None, mode='nearest', align_corners=None)
    • 参数:
      在这里插入图片描述
    • 计算:
      在这里插入图片描述
    展开全文
  • 上采样 upsample Pytorch

    2020-08-17 00:24:39
    import torch import torch.nn as nn input = torch.arange(0, 16).view(1,1,4,4).float() print((input)) ...m = nn.Upsample(scale_factor=2, mode='bilinear',align_corners=False) #align_corners = Fa
    import torch
    import torch.nn as nn
    
    input = torch.arange(0, 16).view(1,1,4,4).float()
    print((input))
    
    m = nn.Upsample(scale_factor=2, mode='nearest')
    print(m(input))
    
    m = nn.Upsample(scale_factor=2, mode='bilinear',align_corners=False)  #align_corners = False是默认参数
    print(m(input))
    
    m = nn.Upsample(scale_factor=2, mode='bilinear',align_corners=True)
    print(m(input))
    
    
    m = nn.Upsample(scale_factor=0.5, mode='bilinear',align_corners=False)
    print(m(input))
    
    
    m = nn.Upsample(scale_factor=0.5, mode='nearest')
    print(m(input))
    
    展开全文
  • Upsample与ConvTranspose2d

    千次阅读 2020-02-11 16:47:57
    两者都是用来实现上采样,假设采样倍数为scale, ...1.Upsample通过插值方法完成上采样。所以不需要训练参数。 nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True) 其中mode为选择的插值方法。 2....
  • if c is not None and self.upsample_net is not None: c = self.upsample_net(c) assert c.size(-1) == x.size(-1) </code></pre> <p>in wavenet.py I print the c and x size out: torch.Size([2, ...
  • 本系列为darknet源码解析,本次解析为src/upsample_layer.h 和 src/upsample_layer.c 两个,sample_layer主要是构建上采样层, upsample_layer使用于yolo v3中; upsample_layer.h 解析如下: #ifndef UPSAMPLE_...
  • Please have a review of the upsample2d function and let me know of anything that is required or should be changed. the function is added in objax.function.ops module.</p><p>该提问来源于开源项目ÿ...
  • I was updating a model with upsample layer. Its output size was computed and recorded in the graph in your last commit. Today I sychnoized your code, and found the output size was on longer computed....
  • Do you downsize the masks to be the size of the predictions or upsample the predictions to be the size of the masks in other unreleased code? <p>Also, during training and eval, do you first resize ...
  • The next one is upsample layer. The upsample layer is using depth-wise deconvolution, correct? If so, why the convolution_param is not like below, since input feature map is 1x1024x13x13. num_output...
  • upsample Increase sample rate by integer factor collapse all in page Syntax y = upsample(x,n) y = upsample(x,n,phase) Description example y = upsample(x,n) increases the sample rate of x by inserting...
  • Upsample' TypeError: unrecognized operator 'Upsample'</strong></p> <p>I am using the pytorch function <pre><code>python x = F.interpolate(x, mode='nearest', scale_factor&#...
  • 自带upsample层的caffe包,适合进行darknet2caffe转换
  • <div><p>hi: 感谢开源 我在转成darknet官方的yolov3.cfg ... 1) Upsample Layer takes 2 bottom blob(s) as input.环境windows10 python3.6</p><p>该提问来源于开源项目:ChenYingpeng/darknet2caffe</p></div>
  • 上采样(upsample)

    2019-10-29 19:18:53
    上采样(upsample)的方法   在神经网络中,扩大特征图的方法,即upsample/上采样的方法   1)unpooling:恢复max的位置,其余部分补零   2)deconvolution(反卷积):先对input补零,再conv   3)插值方法,...
  • s used to handle <code>upsample_nearest3d</code> with <code>2x</code> scale and now <code>ResizeNearestNode</code> can handle this case. - Add NNPI importer for <code>ResizeNearestNode - Add <code>...
  • onnx::Upsample,%20%826">mode="linear"</a>,其中%826是计算动态shape </li><li> 使用develop分支的X2Paddle转,在model = ONNXDecoder(model_path)这步里有一个model = onnx....
  • Caffe实现上采样(upsample)方法总结

    万次阅读 2019-07-13 17:17:33
    与之相对的就是上采样(upsample)操作了,顾名思义,上采样在CNN模型中的作用上增大特征图的长宽,比如都变为原来的2倍。上采样在模型构建中并不像下采样那么频繁被使用,一般情况下,会在下面几个应用中用到上采样...
  • <div><p>Upsample Onnx Operator is used in many Computer Vision Models. As per Onnx Upsample Operator definition all of NHWC can be scaled which is currently not supported by ResizeNearest IR. <p>This...
  • <div><p>I'... please note that I have tried replacing <em>upsample</em> with <em>interpolate, but I get the same error</p><p>该提问来源于开源项目:onnx/onnx-tensorrt</p></div>

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