CVPR2015 | Example code used in the CVPR 2015 tutorial

 by   halide Java Version: Current License: No License

kandi X-RAY | CVPR2015 Summary

kandi X-RAY | CVPR2015 Summary

CVPR2015 is a Java library. CVPR2015 has no bugs, it has no vulnerabilities and it has low support. However CVPR2015 build file is not available. You can download it from GitHub.

To get started, download a binary release of Halide from and untar/unzip it into this directory.

            kandi-support Support

              CVPR2015 has a low active ecosystem.
              It has 31 star(s) with 16 fork(s). There are 11 watchers for this library.
              It had no major release in the last 6 months.
              There are 2 open issues and 2 have been closed. On average issues are closed in 173 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of CVPR2015 is current.

            kandi-Quality Quality

              CVPR2015 has 0 bugs and 0 code smells.

            kandi-Security Security

              CVPR2015 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              CVPR2015 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              CVPR2015 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              CVPR2015 releases are not available. You will need to build from source code and install.
              CVPR2015 has no build file. You will be need to create the build yourself to build the component from source.
              CVPR2015 saves you 593 person hours of effort in developing the same functionality from scratch.
              It has 1382 lines of code, 106 functions and 20 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed CVPR2015 and discovered the below as its top functions. This is intended to give you an instant insight into CVPR2015 implemented functionality, and help decide if they suit your requirements.
            • Stop recording
            • Waits until the specified states are observed
            • Waits for a state transition to be observed
            • Stops the background thread
            • Starts the resume thread
            • Starts a background thread
            • Returns the optimal sizes of the given resolutions
            • Initialize the available cameras
            • This function is called when a new CaptureResult is received
            • End the trace asynchronized
            • Set the surface view
            • Sets the aspect ratio
            • Enable the active auto - focus
            • Starts a new trace asynchronously
            • Opens the camera
            • Creates the camera preview session
            • Unlock the lens
            • Region measure dimensions
            • Enable passive autococus
            • Lock the lens from the lens
            Get all kandi verified functions for this library.

            CVPR2015 Key Features

            No Key Features are available at this moment for CVPR2015.

            CVPR2015 Examples and Code Snippets

            No Code Snippets are available at this moment for CVPR2015.

            Community Discussions

            Trending Discussions on CVPR2015


            Torch - Using optim package with CNN
            Asked 2018-Sep-27 at 10:35

            I am trying to train a CNN using optim package. I am using this code, obtained from a video tutorial (see around 24:01), as a reference. This particular example uses a normal neural network. I also used this reference.

            My code for the CNN can be found here. The problem is that if the input X is not a single image, I get an error:



            Answered 2017-Apr-05 at 22:44

            The module nn.View has not been written properly. This layer should be written as: nn.View(−1, out_channels * out_height * out_width). In the above case, it would be nn.View(-1, 2048). Source: See the comments section of this.


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


            No vulnerabilities reported

            Install CVPR2015

            You can download it from GitHub.
            You can use CVPR2015 like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the CVPR2015 component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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