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caffe - Why is num_output a convolution parameter?

https://stackoverflow.com/questions/50534541/why-is-num-output-a-convolution-parameter

1 After some experimentation, it looks this num_output parameter actually determines how many times you convolve the kernel with the entire image (at least in the …


Caffe | Convolution Layer - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/layers/convolution.html

From ./src/caffe/proto/caffe.proto): message ConvolutionParameter { optional uint32 num_output = 1 ; // The number of outputs for the layer optional bool bias_term = 2 [ default = true ]; // …


How does Caffe's convolution really work? - Stack Overflow

https://stackoverflow.com/questions/38258473/how-does-caffes-convolution-really-work

So I was playing around with pycaffe's convolution function implemented as part of a basic convolution layer. Here's my convolution.prototxt file: name: "convolution" input: "data" …


Visualising convolution kernels in caffe - Stack Overflow

https://stackoverflow.com/questions/33124269/visualising-convolution-kernels-in-caffe

To get "smoother" filters you could try to add a small amount of L2 weight-decay (decay_mult) to the conv1 layer. layer { name: "conv1" type: "Convolution" bottom: "data" top: …


Group parameter · Issue #778 · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/issues/778

conv1 is a "standard" 3D convolution with 64 output channels. This means the input blob to conv2 has 64 input channels. In conv2 you set group = num_output (in this case 64, …


caffe.L.Convolution Example - Program Talk

https://programtalk.com/python-examples/caffe.L.Convolution/

MAX, kernel_size =2, stride =2)) prev_layer = getattr( net, pool_name) net. fc6 = L.Convolution( prev_layer, param =[dict( lr_mult =1, decay_mult =1), dict( lr_mult =2, decay_mult =0)], …


Caffe Translator Error: Convolution Layer #468 - GitHub

https://github.com/facebookarchive/caffe2/issues/468

In my case, because the Scale layer is being done in-place, the output and input have the same name, and that is the name of the convolution layer conv_1, not the scale layer. …


Deep learning tutorial on Caffe technology - GitHub Pages

https://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html

Convolution (n. pool1, kernel_size = 5, num_output = 50, weight_filler = dict (type = 'xavier')) n. pool2 = L. Pooling (n. conv2, kernel_size = 2, stride = 2, pool = P. Pooling. MAX) n. …


Understanding and Calculating the number of Parameters …

https://towardsdatascience.com/understanding-and-calculating-the-number-of-parameters-in-convolution-neural-networks-cnns-fc88790d530d

Don’t forget the bias term for each of the filter. Number of parameters in a CONV layer would be : ((m * n * d)+1)* k), added 1 because of the bias term for each filter. The same …


Caffe implements depthwise convolution - Katastros

https://blog.katastros.com/a?ID=00900-59b63c7b-b4d6-4ce0-9aaf-7f014270cf61

Specifically, the input and output channels are separated into g groups, and the ith output group channels will be only connected to the ith input group channels. Set group and num_output to …


unsky/Deformable-ConvNets-caffe - GitHub

https://github.com/unsky/Deformable-ConvNets-Caffe

Define: f (x,k,p,s,d) = floor ( (x+2*p-d* (k-1)-1)/s)+1. the output of the DeformableConvolution layer: out_height=f (height, kernel [0], pad [0], stride [0], dilate [0]) out_width=f (width, kernel [1], pad …


caffe/layers.md at master · intel/caffe · GitHub

https://github.com/intel/caffe/blob/master/docs/tutorial/layers.md

To create a Caffe model you need to define the model architecture in a protocol buffer definition file (prototxt). Caffe layers and their parameters are defined in the protocol buffer definitions …


Caffe | Deconvolution Layer - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/layers/deconvolution.html

message ConvolutionParameter {optional uint32 num_output = 1; // The number of outputs for the layer optional bool bias_term = 2 [default = true]; // whether to have bias terms // Pad, kernel …


Caffe | Layer Catalogue - Berkeley Vision

http://tutorial.caffe.berkeleyvision.org/tutorial/layers.html

To create a Caffe model you need to define the model architecture in a protocol buffer definition file (prototxt). Caffe layers and their parameters are defined in the protocol buffer definitions …


Understanding Input Output shapes in Convolution Neural …

https://towardsdatascience.com/understanding-input-and-output-shapes-in-convolution-network-keras-f143923d56ca

We usually add the Dense layers at the top of the Convolution layer to classify the images. However input data to the dense layer 2D array of shape (batch_size, units). And the …


NVCaffe User Guide :: NVIDIA Deep Learning Frameworks …

https://docs.nvidia.com/deeplearning/frameworks/caffe-user-guide/index.html

Caffe is a deep-learning framework made with flexibility, speed, and modularity in mind. NVCaffe is an NVIDIA-maintained fork of BVLC Caffe tuned for NVIDIA GPUs, particularly in multi-GPU …


A step by step guide to Caffe - GitHub Pages

https://shengshuyang.github.io/A-step-by-step-guide-to-Caffe.html

Start training. So we have our model and solver ready, we can start training by calling the caffe binary: caffe train \ -gpu 0 \ -solver my_model/solver.prototxt. note that we …


Message type "caffe.LayerParameter" has no field named …

https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Message-type-quot-caffe-LayerParameter-quot-has-no-field-named/m-p/654343

Hi, I'm trying to compile a MobileNetSSD that is working find with OpenCV 3.3.0. name: "MobileNet-SSD" input: "data" input_shape { dim: 1 dim: 3 dim: 300 dim: 300 } layer { …


How does Caffe handle non-integer convolution layer output size?

https://stats.stackexchange.com/questions/238304/how-does-caffe-handle-non-integer-convolution-layer-output-size

I am studying a project which someone did in Caffe where input image is 400 by 400 pixels and first layer is convolution with kernel_size: 11 and stride: 4. ... 400 layers { …


Caffe Tutorial - Carnegie Mellon University

http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/caffe_tutorial.pdf

Simply change a few lines in the layer definition Input: A different source Last Layer: A different classifier layers { name: "data" ... - Caffe layers have local learning rates: blobs_lr ...


Caffe | LeNet MNIST Tutorial - Berkeley Vision

https://caffe.berkeleyvision.org/gathered/examples/mnist.html

The softmax_loss layer implements both the softmax and the multinomial logistic loss (that saves time and improves numerical stability). It takes two blobs, the first one being the prediction and …


Caffe | Blobs, Layers, and Nets - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/net_layer_blob.html

Parameter blob dimensions vary according to the type and configuration of the layer. For a convolution layer with 96 filters of 11 x 11 spatial dimension and 3 inputs the blob is 96 x 3 x …


caffe/train_val.prototxt at master · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/blob/master/models/bvlc_reference_caffenet/train_val.prototxt

Caffe: a fast open framework for deep learning. Contribute to BVLC/caffe development by creating an account on GitHub. Caffe: a fast open framework for deep learning. ... # mean pixel …


Python Examples of caffe.NetSpec - ProgramCreek.com

https://www.programcreek.com/python/example/107865/caffe.NetSpec

The following are 30 code examples of caffe.NetSpec().You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links …


Caffe to Keras conversion of grouped convolution

https://stackoverflow.com/questions/54610665/caffe-to-keras-conversion-of-grouped-convolution

That means you got a grouped convolution there (Caffe: What does the group param mean?). Technically that means that you have two filters, each of shape (128, 48, 5, 5). …


caffe.layers.Convolution Example

https://programtalk.com/python-more-examples/caffe.layers.Convolution/

Here are the examples of the python api caffe.layers.Convolution taken from open source projects. By voting up you can indicate which examples are most useful and appropriate. By …


Caffe MNIST tutorial-LeNet – ShadowThink

https://shadowthink.com/blog/tech/2016/08/28/Caffe-MNIST-tutorial

The .prototxt file describles Caffe model from bottom to top. So in data layer, we need to define two top, data and label.And the type entry define the layer category, it can be …


Caffe | Layer Catalogue - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/layers.html

To create a Caffe model you need to define the model architecture in a protocol buffer definition file (prototxt). Caffe layers and their parameters are defined in the protocol buffer definitions …


Convolution issue in Caffe - Google Groups

https://groups.google.com/g/caffe-users/c/AYxAIbQuT_Q

i have 96x96 pixel images in grayscale format stored in HDF5 files. i am trying to do multi output regression using caffe however convolution is not working. What exactly is the …


load caffe model failed - DeepStream SDK - NVIDIA Developer …

https://forums.developer.nvidia.com/t/load-caffe-model-failed/108601

load caffe model failed. Accelerated Computing. Intelligent Video Analytics. DeepStream SDK. ... convolution_param {num_output: 96 kernel_size: 11 ... (Default=0 i.e …


Caffe source code reading (2) Convolutional layer - Programmer All

https://www.programmerall.com/article/4619663148/

3. Convolution 3.1 Convolution meaning convolution is actually a linear operation, but it is realized by moving the convolution kernel to achieve the effect of extracting features. For the …


Caffe Model Optimizer with YOLO Message type "caffe ... - Intel

https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Caffe-Model-Optimizer-with-YOLO-Message-type-quot-caffe/td-p/1146766

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What is the meaning of lr_mult and decay_mult? - Google Groups

https://groups.google.com/g/caffe-users/c/8J_J8tc1ZHc

to Caffe Users. In your solver you likely have a learning rate set as well as weight decay. lr_mult indicates what to multiply the learning rate by for a particular layer. This is useful …


how to interpretate output probabilities of a net - Google Groups

https://groups.google.com/g/caffe-users/c/epkaVTmMi78

if your images are 65x65 pixels. This tells caffe that it should create an input blob called "data", but its data is filled through the API. If you just use a data layer as for training, all …


How to count the parameters in a convolution layer?

https://stats.stackexchange.com/questions/570254/how-to-count-the-parameters-in-a-convolution-layer

In a CNN layer, the number of parameters is determined by the kernel size and the number of kernels. The size of the input and output in the dimensions being convolved do not …


Caffe source code analysis 5: Conv_Layer - Programmer All

https://www.programmerall.com/article/1681262787/

ConvolutionLayer inherits BaseConvolutionLayer, and its main function is to perform a convolution operation on an image, using the learned filter parameters and biaes. At the same …


[Solved] caffe2 Caffe Translator Error: Convolution Layer

https://marin-kitagawa.devlifematter.org/answer/caffe-translator-error-convolution-layer-468

In the function TranslateScale the variable named output is being set to mul_op.output[0]. In my case, because the Scale layer is being done in-place, the output and input have the same name, …


A Practical Introduction to Deep Learning with Caffe and Python

http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/

2. Classification using Traditional Machine Learning vs. Deep Learning. Classification using a machine learning algorithm has 2 phases: Training phase: In this phase, …


DNN from Caffe deconvolution layer assert fails - OpenCV

https://answers.opencv.org/question/175165/dnn-from-caffe-deconvolution-layer-assert-fails/

Hi, I have a model which works fine in Caffe, but in OpenCV 3.3.0 it triggers an assert. It fails because there is a convolution with 128 outputs followed by a ReLU and then a …


CS231n Caffe Tutorial

http://cs231n.stanford.edu/slides/2015/caffe_tutorial.pdf

Caffe: Main classes Blob: Stores data and derivatives (header source) Layer: Transforms bottom blobs to top blobs (header + source) Net: Many layers; computes gradients via


Caffe Convolution "Group" parameter conversion to Keras Conv2D

https://groups.google.com/g/keras-users/c/bxPA4_Bda14

group (g) [default 1]: If g > 1, we restrict the connectivity of each filter to a subset of the input. Specifically, the input and output channels are separated into g groups, and the iith …


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Unknown caffe.NetParameter type IMAGE_SEG_DATA - Google …

https://groups.google.com/g/caffe-users/c/O8lSpI-DOQY

You have to compile and run the DeepLab authors' fork of Caffe -- IMAGE_SEG_DATA is not a layer type in BVLC/caffe ... convolution_param { num_output: 64 …


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【神经网络与深度学习】Caffe部署中的几个train-test-solver …

https://www.csdndocs.com/article/8710048

【神经网络与深度学习】Caffe部署中的几个train-test-solver-prototxt-deploy等说明<二> 来源：互联网 发布：os x与ios内核编程 编辑：程序博客网 时间：2022/11/01 04:11


Machine learning caffe和pycaffe报告的准确性不同

https://duoduokou.com/machine-learning/26634740421446362088.html

我的疑问是，当我使用相同的模型和相同的测试集时，为什么精度会有差异。我做错什么了吗？。先谢谢你


Machine learning 改变批量大小如何导致不同的预测时间？

https://duoduokou.com/machine-learning/69084732615249410279.html

我使用Caffe和Alex net network训练了一个数据集（~8000张图像），批量大小为5。这导致预测时间为（800-900）ms。然后，我将批大小更改为56（我的机器可以支持的最大值），并将cpu …

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