PINTO_model_zoo | storing models | Machine Learning library

 by   PINTO0309 Python Version: Current License: MIT

kandi X-RAY | PINTO_model_zoo Summary

kandi X-RAY | PINTO_model_zoo Summary

PINTO_model_zoo is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. PINTO_model_zoo has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However PINTO_model_zoo build file is not available. You can download it from GitHub.

A repository that shares tuning results of trained models generated by Tensorflow. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. I also try to convert it to OpenVINO’s IR model as much as possible. TensorFlow Lite, OpenVINO, CoreML, TensorFlow.js, TF-TRT, MediaPipe, ONNX [.tflite, .h5, .pb, saved_model, tfjs, tftrt, mlmodel, .xml/.bin, .onnx].
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            kandi-support Support

              PINTO_model_zoo has a medium active ecosystem.
              It has 2715 star(s) with 492 fork(s). There are 111 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 9 open issues and 264 have been closed. On average issues are closed in 2 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of PINTO_model_zoo is current.

            kandi-Quality Quality

              PINTO_model_zoo has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              PINTO_model_zoo 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

              PINTO_model_zoo releases are not available. You will need to build from source code and install.
              PINTO_model_zoo has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed PINTO_model_zoo and discovered the below as its top functions. This is intended to give you an instant insight into PINTO_model_zoo implemented functionality, and help decide if they suit your requirements.
            • Convert a hdf5 file
            • Gather tensor product
            • A convolution layer
            • Save current step
            • Performs pred_squares
            • Main function
            • Convert an hdf5 file to HDF5
            • Create a tf graph
            • Generate a visualization for visualizing predictions
            • Draw a debug image
            • Return a noise model
            • Detect the image
            • Resize src and pad
            • Optimizes the input opwark
            • Generate model json
            • Create the graph representation of ops
            • Forward a heatmap
            • Implements pipeline
            • Exports the model
            • Generate visualization for a visualization of images
            • Forward a single image
            • Detect video using yolov5
            • Perform a forward transformation
            • Draws a debug image
            • Computes the bounding box for the prediction
            • Create a noise model
            • Train the model
            • Builds the model
            • Detect images using cv2
            • Detects the image using yolov5
            • Compute the non - max suppression
            • Resize src to given size
            Get all kandi verified functions for this library.

            PINTO_model_zoo Key Features

            No Key Features are available at this moment for PINTO_model_zoo.

            PINTO_model_zoo Examples and Code Snippets

            No Code Snippets are available at this moment for PINTO_model_zoo.

            Community Discussions

            QUESTION

            Visualize and Train Custom Blazepose Model ( Pose Estimation Keypoint Detection )
            Asked 2021-Mar-02 at 13:29

            I am currently playing around with Custom Blazepose Model ( here is the repo and code ). I am facing problem to visualize the predictions. I was checking the source code and I found the model returns 3 outputs:

            ...

            ANSWER

            Answered 2021-Mar-02 at 13:29

            I have developed inference code and its working perfect for me

            Source https://stackoverflow.com/questions/66384742

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

            Vulnerabilities

            No vulnerabilities reported

            Install PINTO_model_zoo

            You can download it from GitHub.
            You can use PINTO_model_zoo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            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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            CLONE
          • HTTPS

            https://github.com/PINTO0309/PINTO_model_zoo.git

          • CLI

            gh repo clone PINTO0309/PINTO_model_zoo

          • sshUrl

            git@github.com:PINTO0309/PINTO_model_zoo.git

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