update,

vinniesniper-54816/task1/build_archive.sh

@@ -0,0 +1,5 @@
+#!/usr/bin/env bash
+
+set -ex
+
+tar -zcvf project.tar.gz project

vinniesniper-54816/task1/clear.py

@@ -0,0 +1,12 @@
+#!/usr/bin/env python
+import os,sys
+from pprint import pprint
+
+for root, dirs, files in os.walk("_lab"):
+    for file in files:
+        if file.endswith(".jpg"):
+            os.remove(os.path.join(root, file))
+        if file.endswith(".jpeg"):
+            os.remove(os.path.join(root, file))
+        if file.endswith(".Identifier"):
+            os.remove(os.path.join(root, file))

vinniesniper-54816/task1/digest.md

@@ -0,0 +1,111 @@
+# CS4185 Multimedia Technologies and Applications
+
+## What does this program do?
+
+- Loads aninput imageand 1000 database imagesto be compared with it.
+
+- Converts the images to grayscale
+
+- Compares the base image with the database image using pixel-by-pixel difference.
+
+- Displays the numerical matching parameters obtained.
+
+- Displays the input image and the best match result.
+
+## Basic Requirements (80%)
+
+- Automatically changing some setting according to the extracted features is allowed.
+
+Students are required to finish the following four tasks in the basic requirements:
+
+1.  Improve the number of correctly matched images (20%)
+1.  Modify the above program to retrieve similar images (20%)
+
+    - Utilize color information.
+
+      - Color Models
+
+        - The RGB Color Models
+          - Quantization
+
+      - Color Histograms
+        - disadvantages
+          1. Color similarity across histogram bins is not considered
+          1. Spatial color layout is not considered
+
+    - Using different layout.
+
+      - Color Layout
+        - http://en.wikipedia.org/wiki/Color_layout_descriptor
+        - Need for Color Layout -> Global color features give too many false positives.
+        - How it works:
+          - Divide the whole image into sub-blocks.
+          - Extract features from each sub-block.
+        - Can we go one step further?
+          - Divide the image into regions based on color feature concentration.
+          - This process is called segmentation
+
+    - Utilize edge and shape information.
+
+      - Circle Hough transform:
+
+        - https://en.wikipedia.org/wiki/Circle_Hough_Transform
+        - http://docs.opencv.org/doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.html
+
+      - segmentation
+
+        - Features for local regions in the image
+        - Interest points: corners, edges and others
+        - Keypoints:
+          - points in images, which are invariant to image translation, scale and rotation, and are minimally affected by noise and small distortions
+        - Scale-invariant feature transform (SIFT) by David Lowe
+
+          - Image content is transformed into local feature coordinates that are invariant to translation, rotation, scale, and other imaging parameters
+          - advantages:
+
+            - Locality:features are local, so robust to occlusion and clutter (no prior segmentation)
+            - Distinctiveness:individual features can be matched to a large database of objects
+            - Quantity:many features can be generated for even small objects
+            - Efficiency:close to real-time performance - Extensibility:can easily be extended to wide range of differing feature types, with each adding robustness
+
+          - Detect keypoints using the SIFT detector
+            - `tutorial3` -> page 13 ~ 18
+          - R-trees, SR-Trees ?
+
+    - Features fusion
+      - Image Features Measures
+      - Image Distance Measures
+      - db
+        - tutorial4 -> page 9
+
+1.  Improve on the Precision (20%)
+
+    - The percentage of retrieved images that are matched
+
+1.  Improve on the Recall (20%)
+
+    - the percentage of matched images that are retrieved.
+
+## The extension includes two parts,
+
+technical improvementand UI design.
+
+### The technical improvement :
+
+- 15% of marks will be given based on the technical difficulties
+- may include new retrieval algorithms
+  - (e.g., 80+% of precision and 55+% of recall),
+- high dimensional data indexing
+  - (efficiently storing and managing the features extracted from the database, modifying the program so that it does not need to compute the features every time),
+- retrieval algorithms for particular types of images(e.g., sunset images, images containing human faces),
+- a crawler to obtain images from the internet, or adding semantic informationto help improve the retrieval performance.
+
+### UI design
+
+- 10% will be given based on the UI design.
+
+### Submission
+
+- Program
+- Demo
+- Report

vinniesniper-54816/task1/journal.md

@@ -0,0 +1,13 @@
+# Journal
+
+reference
+/home/logic/_wsl_workspace/comission-playlist/vinniesniper-54816/task1/_ref/mmta-main
+
+http://places.csail.mit.edu/cellImgs/b_beach.jpg
+
+
+```
+kill `ps -ef|grep -i draft |awk '{print $2}'`
+```
+
+https://youtu.be/6hcjr5ISmzo

vinniesniper-54816/task1/project/.editorconfig

@@ -0,0 +1,18 @@
+# Editor configuration, see http://editorconfig.org
+root = true
+
+[*]
+charset = utf-8
+end_of_line = lf
+indent_style = space
+indent_size = 2
+insert_final_newline = true
+trim_trailing_whitespace = true
+
+[*.md]
+max_line_length = off
+trim_trailing_whitespace = false
+
+[*.yml]
+[*.{yml,yaml}]
+indent_size = 2

vinniesniper-54816/task1/project/.gitignore

@@ -0,0 +1,344 @@
+# Created by https://www.toptal.com/developers/gitignore/api/node,nextjs,python
+# Edit at https://www.toptal.com/developers/gitignore?templates=node,nextjs,python
+
+### NextJS ###
+# dependencies
+/node_modules
+/.pnp
+.pnp.js
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.pnpm-debug.log*
+
+# local env files
+.env*.local
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts
+
+### Node ###
+# Logs
+logs
+*.log
+lerna-debug.log*
+
+# Diagnostic reports (https://nodejs.org/api/report.html)
+report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
+
+# Runtime data
+pids
+*.pid
+*.seed
+*.pid.lock
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+lib-cov
+
+# Coverage directory used by tools like istanbul
+coverage
+*.lcov
+
+# nyc test coverage
+.nyc_output
+
+# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
+.grunt
+
+# Bower dependency directory (https://bower.io/)
+bower_components
+
+# node-waf configuration
+.lock-wscript
+
+# Compiled binary addons (https://nodejs.org/api/addons.html)
+build/Release
+
+# Dependency directories
+node_modules/
+jspm_packages/
+
+# Snowpack dependency directory (https://snowpack.dev/)
+web_modules/
+
+# TypeScript cache
+
+# Optional npm cache directory
+.npm
+
+# Optional eslint cache
+.eslintcache
+
+# Optional stylelint cache
+.stylelintcache
+
+# Microbundle cache
+.rpt2_cache/
+.rts2_cache_cjs/
+.rts2_cache_es/
+.rts2_cache_umd/
+
+# Optional REPL history
+.node_repl_history
+
+# Output of 'npm pack'
+*.tgz
+
+# Yarn Integrity file
+.yarn-integrity
+
+# dotenv environment variable files
+.env
+.env.development.local
+.env.test.local
+.env.production.local
+.env.local
+
+# parcel-bundler cache (https://parceljs.org/)
+.cache
+.parcel-cache
+
+# Next.js build output
+.next
+out
+
+# Nuxt.js build / generate output
+.nuxt
+dist
+
+# Gatsby files
+.cache/
+# Comment in the public line in if your project uses Gatsby and not Next.js
+# https://nextjs.org/blog/next-9-1#public-directory-support
+# public
+
+# vuepress build output
+.vuepress/dist
+
+# vuepress v2.x temp and cache directory
+.temp
+
+# Docusaurus cache and generated files
+.docusaurus
+
+# Serverless directories
+.serverless/
+
+# FuseBox cache
+.fusebox/
+
+# DynamoDB Local files
+.dynamodb/
+
+# TernJS port file
+.tern-port
+
+# Stores VSCode versions used for testing VSCode extensions
+.vscode-test
+
+# yarn v2
+.yarn/cache
+.yarn/unplugged
+.yarn/build-state.yml
+.yarn/install-state.gz
+.pnp.*
+
+### Node Patch ###
+# Serverless Webpack directories
+.webpack/
+
+# Optional stylelint cache
+
+# SvelteKit build / generate output
+.svelte-kit
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### Python Patch ###
+# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
+poetry.toml
+
+# ruff
+.ruff_cache/
+
+# LSP config files
+pyrightconfig.json
+
+# End of https://www.toptal.com/developers/gitignore/api/node,nextjs,python

vinniesniper-54816/task1/project/.prettierrc.js

@@ -0,0 +1,17 @@
+module.exports = {
+  arrowParens: 'avoid',
+  bracketSpacing: true,
+  htmlWhitespaceSensitivity: 'css',
+  insertPragma: false,
+  bracketSameLine: false,
+  jsxSingleQuote: true,
+  printWidth: 120,
+  proseWrap: 'preserve',
+  quoteProps: 'as-needed',
+  requirePragma: false,
+  semi: false,
+  singleQuote: true,
+  tabWidth: 2,
+  trailingComma: 'none',
+  useTabs: false
+}

vinniesniper-54816/task1/project/README.md

@@ -0,0 +1,60 @@
+# README
+
+## spin up dev environment
+
+```bash
+# extract archive
+$ tar -zxvf project.tar.gz
+```
+
+### frontend
+
+```bash
+$ cd project/frontend
+$ yarn 
+$ yarn dev
+```
+
+### backend(py_classifier)
+```bash
+# install miniconda
+# https://docs.anaconda.com/miniconda/
+# https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe
+
+# download and install miniconda
+$ conda create --name opencv3 python=3
+$ conda activate opencv3
+
+# optional
+$ pip install opencv-contrib-python==3.4.2.16
+
+# run classifier backend
+$ cd src
+$ ./scripts/run.sh
+```
+
+## directory structure
+
+```bash
+├── docs                           # some documentation
+├── poc                            # proff of concept workspace
+    ├── 003-crawler                # image crawler   
+    ├── 010-flask                  # python flask tryout
+    └── 013-flask-nextjs-draft     # python / nextjs integration                
+├── training                       # classifier training code
+├── frontend                       # frontend code
+├── py_classifier                  # backend code
+└── test_images                    # test images
+```
+
+## References
+
+- https://youtu.be/6hcjr5ISmzo
+- https://docs.opencv.org/4.x/dc/d88/tutorial_traincascade.html
+- https://github.com/Paradiddle131/Cigarette-Detection-with-Haar-Cascade-Classifier/tree/master
+- https://pythonprogramming.net/haar-cascade-object-detection-python-opencv-tutorial/
+- https://saturncloud.io/blog/installing-opencv-with-conda-a-guide-for-data-scientists/
+- https://stackoverflow.com/questions/38787748/installing-opencv-3-1-with-anaconda-python3
+- https://huggingface.co/chat/conversation/67252f087c8610524e155288
+- https://github.com/search?q=opencv_createsamples&type=code&ref=advsearch
+- https://github.com/Paradiddle131/Cigarette-Detection-with-Haar-Cascade-Classifier/tree/master