compressing repo by hosting models on drive

Author: codeperfectplus

.gitignore

@@ -44,4 +44,6 @@ env.bak/
 venv.bak/
 
 # others
-test.py
+test.py
+
+res10_300x300_ssd_iter_140000.caffemodel

07. Face Detection/README.md

@@ -0,0 +1,74 @@
+# Contributing to Algorithms and Data Structures
+
+We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:
+
+- Reporting a bug
+- Discussing the current state of the code
+- Submitting a fix
+- Proposing new features
+- Becoming a maintainer
+
+
+## Steps to contribute
+
+* Comment on the issue you want to work on. Make sure it's not assigned to someone else.
+
+* If you think an algorithm is missing, create an issue.
+
+### Making a PR
+
+- Make sure you have been assigned the issue to which you are making a PR.
+- If you make PR before being assigned, It will be labeled `invalid` and closed without merging.
+
+* Fork the repo and clone it on your machine.
+* Add a upstream link to main branch in your cloned repo
+    ```
+    git remote add upstream https://github.com/codePerfectPlus/ComputerVision-Essentials
+    ```
+* Keep your cloned repo upto date by pulling from upstream (this will also avoid any merge conflicts while committing new changes)
+    ```
+    git pull upstream master
+    ```
+* Create your feature branch
+    ```
+    git checkout -b <feature-name>
+    ```
+* Commit all the changes
+    ```
+    git commit -am "Meaningful commit message"
+    ```
+* Push the changes for review
+    ```
+    git push origin <branch-name>
+    ```
+* Create a PR from our repo on Github.
+
+### Additional Notes
+
+* Code should be properly commented to ensure it's readability.
+* If you've added code that should be tested, add tests as comments.
+* Make sure your code properly formatted.
+* Issue that pull request!
+
+## Issue suggestions/Bug reporting
+
+When you are creating an issue, make sure it's not already present. Furthermore, provide a proper description of the changes. If you are suggesting any code improvements, provide through details about the improvements.
+
+**Great Issue suggestions** tend to have:
+
+- A quick summary of the changes.
+- In case of any bug provide steps to reproduce
+  - Be specific!
+  - Give sample code if you can.
+  - What you expected would happen
+  - What actually happens
+  - Notes (possibly including why you think this might be happening, or stuff you tried that didn't work)
+
+## License
+
+By contributing, you agree that your contributions will be licensed under its  [MIT License](http://choosealicense.com/licenses/mit/).
+
+
+## References
+
+This document was adapted from the open-source contribution guidelines for [Facebook's Draft](https://github.com/facebook/draft-js/blob/a9316a723f9e918afde44dea68b5f9f39b7d9b00/CONTRIBUTING.md)

22. Optical Character Recognition/README.md

@@ -12,6 +12,7 @@
   - [License](#license)
   - [Citation](#citation)
   - [Author](#author)
+  - [Extra Downloads](#extra-downloads)
 
 ## Introduction
 
@@ -25,17 +26,16 @@ Computer vision tasks include methods for acquiring, processing, analyzing and u
 
 ## Used Libraries/Packages
 
-- **OpenCV** - OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. 
+- **OpenCV** - OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library.
+- **PixelLib** - PixelLib is a library created for performing image and video segmentation using few lines of code.
 - **CVLib** - A simple, high level, easy-to-use open source Computer Vision library for Python.
-- **Dlib** - Dlib is a general purpose cross-platform software library written in the programming language C++. 
+- **Dlib** - Dlib is a general purpose cross-platform software library written in the programming language C++.
 - **PIL/Pillow** - Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats
-- **Keras** - Keras is the most used deep learning framework among top-5 winning teams on Kaggle. 
+- **Keras** - Keras is the most used deep learning framework among top-5 winning teams on Kaggle.
 - **Tensorflow** - TensorFlow is a free and open-source software library for machine learning.
 - **Pytessarct** - Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and “read” the text embedded in images.
-- **IPSDK** - IPSDK offers a comprehensive and optimized range of functionalities for 2D and 3D image processing.
 - **scikit-image** - scikit-image is an open-source image processing library for the Python programming language. It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.
 - **Matplotlib** - Matplotlib is a cross-platform, data visualization and graphical plotting library for Python and its numerical extension NumPy.
-- **mahotas** - Mahotas is a computer vision and image processing library for Python.
 
 ## How To Run
 
@@ -51,6 +51,12 @@ pipenv shell
 
 NOTE- check the [guide](https://www.tensorflow.org/install) for tenosflow installation for your CPU/GPU. for using tensorflow-gpu install the CUDA-11.0 and necessary libraries.
 
+Large models and files hosted on google drive. **For downloading them run [utils.py](utils.py)**
+
+```bash
+python utils.py
+```
+
 ## Usage
 
 Computer vision allows the computer to perform the same kind of tasks as humans with the same efficiency. There are a two main task which are defined below:
@@ -66,7 +72,6 @@ contributers
 
 ## Roadmap
 
-More Data Analysis With Kaggle and improvement in previous Codes
 
 ## Contributing
 
@@ -107,3 +112,7 @@ Coelho, L.P. 2013. Mahotas: Open source software for scriptable computer vision.
 - Language : Python
 - Github : <https://github.com/codePerfectPlus>
 - Website : <http://codeperfectplus.herokuapp.com>
+
+## Extra Downloads
+
+1. FaceDetection Caffee Models

CONTRIBUTING.md

@@ -0,0 +1,14 @@
+from google_drive_downloader import GoogleDriveDownloader as gdd
+
+download_dict = {
+    "16gAKScYAW0bZkyRgcLF71x28du_mLY8-": "assets/res10_300x300_ssd_iter_140000.caffemodel",
+    "1jUIwxXjxz8oC7I2Ta9vtiozsB4i95043": "Media/people-walking.mp4"
+}
+
+for file_id, dest_path in download_dict.items():
+
+    gdd.download_file_from_google_drive(file_id=file_id,
+                                        dest_path=dest_path,
+                                        unzip=True)
+
+