dnn | A light-weight deep learning framework implemented in C | Machine Learning library

 by   liangfu C++ Version: Current License: MIT

kandi X-RAY | dnn Summary

kandi X-RAY | dnn Summary

dnn is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. dnn has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The Deep Neural Nets (DNN) library is a deep learning framework designed to be small in size, computationally efficient and portable. We started the project as a fork of the popular OpenCV library, while removing some components that is not tightly related to the deep learning framework. Comparing to Caffe and many other implements, DNN is relatively independent to third-party libraries, (Yes, we don't require Boost and Database systems to be install before crafting your own network models) and it can be more easily portable to mobile systems, like iOS, Android and RaspberryPi etc. And more importantly, DNN is powerful! It supports both convolutional networks and recurrent networks, as well as combinations of the two.
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              dnn has a low active ecosystem.
              It has 12 star(s) with 2 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              dnn has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dnn is current.

            kandi-Quality Quality

              dnn has no bugs reported.

            kandi-Security Security

              dnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              dnn is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              dnn releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            dnn Key Features

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            dnn Examples and Code Snippets

            No Code Snippets are available at this moment for dnn.

            Community Discussions

            QUESTION

            text recognition and restructuring OCR opencv
            Asked 2021-Jun-08 at 12:14

            Link to original image https://ibb.co/0VC6vkX

            I am currently working with an OCR Project. I pre-processed the image, and then applied pre-trained EAST model for text detection.

            ...

            ANSWER

            Answered 2021-Jun-07 at 07:02

            Here's a possible solution that you can try improving on by trying a few things:

            • by varying Gaussian parameters
            • by thresholding the blurred image to see if it improves the result

            Code:

            Source https://stackoverflow.com/questions/67763853

            QUESTION

            Possible to select the DNN AI core for model evaluation on HoloLens 2?
            Asked 2021-Jun-07 at 17:27

            Can anyone tell me if one can directly select the DNN AI core for neural network evaluation on HoloLens 2.

            I have read about the HPU, which includes and DNN AI core in the GitHub repo here. But in the doc for the devices that can be used only CPU and GPU are listed.

            ...

            ANSWER

            Answered 2021-Jun-07 at 17:27

            Currently Windows AI only supports inference on CPUs or GPUs.

            Unfortunately there isn't a way to perform inference on the HoloLens2 HPU DNN AI Core at the moment.

            Source https://stackoverflow.com/questions/66347068

            QUESTION

            Cuda out of memory issue with pytorch when training two networks jointly
            Asked 2021-Jun-02 at 15:11

            I try to train two DNN jointly, The model is trained and goes to the validation phase after every 5 epochs, the problem is after the 5 epochs it is okay and no problem with memory, but after 10 epochs the model complains about Cuda memory. Any help to solve the memory issue.

            ...

            ANSWER

            Answered 2021-Jun-02 at 15:11

            Don't use retain_graph = True on the second backwards pass. This flag is making your code store the computation graphs for each batch, conceivably in perpetuity.

            You should only use retain_graph for all but the last call to backward() that back-propagate through the same variables/parameters.

            Source https://stackoverflow.com/questions/67800627

            QUESTION

            Weights were not updated using Gradient Tape and apply_gradients()
            Asked 2021-Jun-02 at 11:05

            I am building a DNN with a custom loss function and I am training this DNN using Gradient Tape in TensorFlow.kerasenter code here. The code runs without any errors, however, as far as I can check the weights of the DNN, the weights were not being updated at all. I followed exactly what recommends from the TensorFlow website and search for the answers but still don't understand what is the reason. Here is my code:

            ...

            ANSWER

            Answered 2021-Jun-02 at 11:05

            The weight does change. You can check as follows; after building the model save your weights file (these are initial weight).

            Source https://stackoverflow.com/questions/67803574

            QUESTION

            How can I Run Object detection on GPU?
            Asked 2021-May-31 at 11:45

            This program is detecting the things from web cam but it's slow so how can i make it fast for better FPS and how can i use GPU for the faster detection and with better performance. And i how can i make it perfect .In this Program i have used the Yolo configuration and weights with coco dataset .

            ...

            ANSWER

            Answered 2021-May-31 at 11:45

            To use Gpu we have to compile opencv and this can be done as follows in blog : https://haroonshakeel.medium.com/build-opencv-4-4-0-with-cuda-gpu-support-on-windows-10-without-tears-aa85d470bcd0

            and after doing it add the two lines that will that will detect the Gpu and program will run on GPU.

            Source https://stackoverflow.com/questions/65757670

            QUESTION

            Docker: COPY failed: stat : file does not exist
            Asked 2021-May-28 at 17:24

            I am trying to copy a file into my docker container but the command fails. The file is in the same directory as the Dockerfile, so I don't understand the reason for the error.

            I'd appreciate any help or advice. Thanks beforehand.

            This is the code:

            ...

            ANSWER

            Answered 2021-May-28 at 17:24

            Could you please clarify which line in your Dockerfile causes the error message?

            Is the file you are trying to copy from your working directory yolov3-tiny_obj.cfg?

            If that is the case, it fails because you specify to copy it from the builder stage. The line should probably look like this:

            Source https://stackoverflow.com/questions/67742921

            QUESTION

            icons missing for built in 2sxc actions
            Asked 2021-May-28 at 15:16

            I have a strange situation. I have a DNN instance with more than one portal running on it. I started up a new portal and when I add a 2sxc content app, the icons for the built in actions like add and edit are missing. However, the other portals in the DNN instance have the icons.

            You can see the blue action buttons but no icons in the following image from the site:

            I have checked the rendered html on both sites and the icon button contains the same html:

            ...

            ANSWER

            Answered 2021-May-28 at 15:16

            I believe something is messing with the CSS which maps the icons to the buttons.

            First just up-count the client-dependency number, my guess is it would fix everything.

            Otherwise debug more using inspect-element to see how the other toolbars get their icon, and what is different with this instance.

            Source https://stackoverflow.com/questions/67643686

            QUESTION

            Is there a way to tell Razor (DNN's View Engine) to use a different Views Folder for a MVC Module?
            Asked 2021-May-25 at 06:57

            I'm trying to use multiple folders for my views in a custom MVC module for DNN. The goal is to choose a theme in the module settings and then depending on the setting use a different view folder (i.e. use different cshtml files for the actions). Is there a way to tell razor that it should look up other locations first? (Can I use the ViewLocationExpander in DNN for my module?) Thanks!

            ...

            ANSWER

            Answered 2021-May-25 at 06:57

            I understand that you want to have some kind of App settings and have MVC use the setting to select the View for you. I believe that is possible, but there is a simpler, lower-tech way to do it if using @RenderPage() or @RenderPartial() make sense for what you are trying to do.

            So imagine you start in _index.cshtml

            You could either have your files in folders and construct the path (imagine the setting is something like Path = "live" or "staging"):

            Source https://stackoverflow.com/questions/67520307

            QUESTION

            How do I get DNN Search results to display links to articles with a 2sxc app?
            Asked 2021-May-18 at 22:01

            I have a 2sxc app that is a list of resources. It has a listing and each item goes to a details view that has a unique URL based on the title. (The URL field is a field in the content type). Something like this domain.com/resources/details/my-amazing-resource.

            When a user searches the site for "amazing", the core DNN search results module displays the results of the app, including the "My Amazing Resource" item, but it doesn't actually link to domain.com/resources/details/my-amazing-resource. It just links to domain.com/resources/.

            How can I make it so the search results actually point to the unique URL of the item in the app? Is this possible? Would DNNSharp Search Boost be better for this than the core DNN search module?

            ...

            ANSWER

            Answered 2021-May-03 at 22:35

            Its been over a year since I tinkered with it, but what it sounds like you are looking for requires coding. Dnn Search will get what it can from the 2sxc module automatically, but if you need to customize or improve what is being returned, then you need to CustomizeSearch() or CustomizeData() - I am not sure I have seen any decent examples, but I do know the FAQs App does this and must have a working example in it of some kind. Here is a place to stat in the 2sxc Docs, CustomizeSearch().

            Source https://stackoverflow.com/questions/67375778

            QUESTION

            Interpreting recurrent neural networks features (RNN/LSTM)
            Asked 2021-May-14 at 21:22

            I tried to use shap in order to do a feature importance analysis. I am using keras and I want to get a bar chart and violin charts. With my DNN, I got something like that: Violin chart bar chart

            However, when I tried it with my SimpleRNN, I had problem with the shape. The input shape is (samples,time,features), whereas my output shape is (samples,features). So it is a many-to-one RNN. KernelExplainer, the one that I used in my static models, does not work because of the dimension. DeepExplainer does not work either. It show me this error:

            ...

            ANSWER

            Answered 2021-May-14 at 21:22

            I managed to fix it by adding at the beginning of my code

            Source https://stackoverflow.com/questions/67533326

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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            You can download it from GitHub.

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