Skip to main content

Monk Classification - CPU - backends - pytorch

Project description

monk_v1 Tweet

Website

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Version     Build_Status

Table of Contents




Sample Showcase

Create an image classification experiment.

  • Load foldered dataset
  • Set number of epochs
  • Run training
ptf = prototype(verbose=1)
ptf.Prototype("sample-project-1", "sample-experiment-1")
ptf.Default(dataset_path="./dataset_cats_dogs_train/", 
                model_name="resnet18", freeze_base_network=True, num_epochs=2)
ptf.Train()

Inference

img_name = "./monk/datasets/test/0.jpg";
predictions = ptf.Infer(img_name=img_name, return_raw=True);
print(predictions)

Compare Experiments

  • Add created experiments with different hyperparameters
  • Generate comparison plots
ctf = compare(verbose=1);
ctf.Comparison("Sample-Comparison-1");
ctf.Add_Experiment("sample-project-1", "sample-experiment-1");
ctf.Add_Experiment("sample-project-1", "sample-experiment-2");
    .
    . 
    .
ctf.Generate_Statistics();



Installation

Support for

  • OS
    • Ubuntu 16.04
    • Ubuntu 18.04
    • Mac OS
    • Windows
  • Python
    • Version 3.6
    • Version 3.7
  • Cuda
    • Version 9.0
    • Version 9.2
    • Version 10.0
    • Version 10.1

For Installation instructions visit: Link




Study Roadmaps




Documentation




TODO-2020

TODO-2020 - Features

  • Model Visualization
  • Pre-processed data visualization
  • Learned feature visualization
  • NDimensional data input - npy - hdf5 - dicom - tiff
  • Multi-label Image Classification
  • Custom model development

TODO-2020 - General

  • Incorporate pep coding standards
  • Functional Documentation
  • Tackle Multiple versions of libraries
  • Add unit-testing
  • Contribution guidelines

TODO-2020 - Backend Support

  • Tensorflow 2.0
  • Chainer

TODO-2020 - External Libraries

  • TensorRT Acceleration
  • Intel Acceleration
  • Echo AI - for Activation functions

Copyright

Copyright 2019 onwards, Tessellate Imaging Private Limited Licensed under the Apache License, Version 2.0 (the "License"); you may not use this project's files except in compliance with the License. A copy of the License is provided in the LICENSE file in this repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

monk_pytorch_cpu_test-0.0.11.tar.gz (238.3 kB view details)

Uploaded Source

Built Distribution

monk_pytorch_cpu_test-0.0.11-py3-none-any.whl (515.2 kB view details)

Uploaded Python 3

File details

Details for the file monk_pytorch_cpu_test-0.0.11.tar.gz.

File metadata

  • Download URL: monk_pytorch_cpu_test-0.0.11.tar.gz
  • Upload date:
  • Size: 238.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.6.9

File hashes

Hashes for monk_pytorch_cpu_test-0.0.11.tar.gz
Algorithm Hash digest
SHA256 816128f7928a9942fffb972bfc5cd2ab3e8c18c5567e1b272530fcafe7783a9e
MD5 cfcfcc8bdf3ad15882581b50bd5072c6
BLAKE2b-256 3bdc3b05f19fd2c0e5ef54b556d15f418bde4fa9ed2e12a07b42e5da996e20ad

See more details on using hashes here.

File details

Details for the file monk_pytorch_cpu_test-0.0.11-py3-none-any.whl.

File metadata

  • Download URL: monk_pytorch_cpu_test-0.0.11-py3-none-any.whl
  • Upload date:
  • Size: 515.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.6.9

File hashes

Hashes for monk_pytorch_cpu_test-0.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 a4af7ac1c5250fbda2d4c30a9e871cc0e0244865a1c9d0388f71dfe6d26ef6f8
MD5 a7d48157df3821997c715c90d1d1bc23
BLAKE2b-256 2b9ac2c350da832e2b140cf229c0ca2b5a557252b13f0b1817e3467d945b7489

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page