From 933888cd0ca1c1f523a29ecd0113b32d6baec17e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Frederik=20Hvilsh=C3=B8j?= Date: Fri, 12 Aug 2022 08:54:22 +0200 Subject: [PATCH 1/7] Refactor and primary color. --- conf/config_example.yaml | 5 +- poetry.lock | 1549 ++++++++++++++++++++++++++++++++- pyproject.toml | 4 + viewer/.streamlit/config.toml | 2 + viewer/visualizer.py | 88 ++ 5 files changed, 1633 insertions(+), 15 deletions(-) create mode 100644 viewer/.streamlit/config.toml create mode 100644 viewer/visualizer.py diff --git a/conf/config_example.yaml b/conf/config_example.yaml index 7fb82183e..10be4c16a 100644 --- a/conf/config_example.yaml +++ b/conf/config_example.yaml @@ -4,4 +4,7 @@ paths: data: ~/data/encord encord: - project_name: "[External] [People for AI] YouTube-VOS" \ No newline at end of file + project_name: "[External] [People for AI] YouTube-VOS" + +streamlit: + port: 8502 \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 25e1e3b9e..bf6bf966a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,3 +1,22 @@ +[[package]] +name = "altair" +version = "4.2.0" +description = "Altair: A declarative statistical visualization library for Python." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +entrypoints = "*" +jinja2 = "*" +jsonschema = ">=3.0" +numpy = "*" +pandas = ">=0.18" +toolz = "*" + +[package.extras] +dev = ["black", "docutils", "ipython", "flake8", "pytest", "sphinx", "mistune (<2.0.0)", "m2r", "vega-datasets", "recommonmark"] + [[package]] name = "antlr4-python3-runtime" version = "4.9.3" @@ -6,6 +25,59 @@ category = "main" optional = false python-versions = "*" +[[package]] +name = "appnope" +version = "0.1.3" +description = "Disable App Nap on macOS >= 10.9" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "argon2-cffi" +version = "21.3.0" +description = "The secure Argon2 password hashing algorithm." +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +argon2-cffi-bindings = "*" + +[package.extras] +dev = ["pre-commit", "cogapp", "tomli", "coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "sphinx-notfound-page", "furo"] +docs = ["sphinx", "sphinx-notfound-page", "furo"] +tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"] + +[[package]] +name = "argon2-cffi-bindings" +version = "21.2.0" +description = "Low-level CFFI bindings for Argon2" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +cffi = ">=1.0.1" + +[package.extras] +dev = ["pytest", "cogapp", "pre-commit", "wheel"] +tests = ["pytest"] + +[[package]] +name = "asttokens" +version = "2.0.7" +description = "Annotate AST trees with source code positions" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +six = "*" + +[package.extras] +test = ["astroid (<=2.5.3)", "pytest"] + [[package]] name = "atomicwrites" version = "1.4.1" @@ -18,7 +90,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" name = "attrs" version = "22.1.0" description = "Classes Without Boilerplate" -category = "dev" +category = "main" optional = false python-versions = ">=3.5" @@ -28,6 +100,61 @@ docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"] tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"] tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"] +[[package]] +name = "backcall" +version = "0.2.0" +description = "Specifications for callback functions passed in to an API" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "beautifulsoup4" +version = "4.11.1" +description = "Screen-scraping library" +category = "main" +optional = false +python-versions = ">=3.6.0" + +[package.dependencies] +soupsieve = ">1.2" + +[package.extras] +html5lib = ["html5lib"] +lxml = ["lxml"] + +[[package]] +name = "bleach" +version = "5.0.1" +description = "An easy safelist-based HTML-sanitizing tool." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +six = ">=1.9.0" +webencodings = "*" + +[package.extras] +css = ["tinycss2 (>=1.1.0,<1.2)"] +dev = ["build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "Sphinx (==4.3.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)", "black (==22.3.0)", "mypy (==0.961)"] + +[[package]] +name = "blinker" +version = "1.5" +description = "Fast, simple object-to-object and broadcast signaling" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + +[[package]] +name = "cachetools" +version = "5.2.0" +description = "Extensible memoizing collections and decorators" +category = "main" +optional = false +python-versions = "~=3.7" + [[package]] name = "certifi" version = "2022.6.15" @@ -55,6 +182,17 @@ category = "main" optional = false python-versions = "*" +[[package]] +name = "click" +version = "8.1.3" +description = "Composable command line interface toolkit" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + [[package]] name = "colorama" version = "0.4.5" @@ -63,6 +201,17 @@ category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +[[package]] +name = "commonmark" +version = "0.9.1" +description = "Python parser for the CommonMark Markdown spec" +category = "main" +optional = false +python-versions = "*" + +[package.extras] +test = ["hypothesis (==3.55.3)", "flake8 (==3.7.8)"] + [[package]] name = "cryptography" version = "3.4.8" @@ -82,6 +231,30 @@ sdist = ["setuptools-rust (>=0.11.4)"] ssh = ["bcrypt (>=3.1.5)"] test = ["pytest (>=6.0)", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"] +[[package]] +name = "debugpy" +version = "1.6.2" +description = "An implementation of the Debug Adapter Protocol for Python" +category = "main" +optional = false +python-versions = ">=3.7" + +[[package]] +name = "decorator" +version = "5.1.1" +description = "Decorators for Humans" +category = "main" +optional = false +python-versions = ">=3.5" + +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + [[package]] name = "encord" version = "0.1.43" @@ -97,6 +270,55 @@ requests = "2.25.0" tqdm = ">=4.32.1,<5.0.0" uuid = ">=1.30,<2.0" +[[package]] +name = "entrypoints" +version = "0.4" +description = "Discover and load entry points from installed packages." +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] +name = "executing" +version = "0.9.1" +description = "Get the currently executing AST node of a frame, and other information" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "fastjsonschema" +version = "2.16.1" +description = "Fastest Python implementation of JSON schema" +category = "main" +optional = false +python-versions = "*" + +[package.extras] +devel = ["colorama", "jsonschema", "json-spec", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] + +[[package]] +name = "gitdb" +version = "4.0.9" +description = "Git Object Database" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +smmap = ">=3.0.1,<6" + +[[package]] +name = "gitpython" +version = "3.1.27" +description = "GitPython is a python library used to interact with Git repositories" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +gitdb = ">=4.0.1,<5" + [[package]] name = "hydra-core" version = "1.2.0" @@ -118,6 +340,246 @@ category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +[[package]] +name = "importlib-metadata" +version = "4.12.0" +description = "Read metadata from Python packages" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +zipp = ">=0.5" + +[package.extras] +docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"] +perf = ["ipython"] +testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"] + +[[package]] +name = "ipykernel" +version = "6.15.1" +description = "IPython Kernel for Jupyter" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +appnope = {version = "*", markers = "platform_system == \"Darwin\""} +debugpy = ">=1.0" +ipython = ">=7.23.1" +jupyter-client = ">=6.1.12" +matplotlib-inline = ">=0.1" +nest-asyncio = "*" +packaging = "*" +psutil = "*" +pyzmq = ">=17" +tornado = ">=6.1" +traitlets = ">=5.1.0" + +[package.extras] +test = ["flaky", "ipyparallel", "pre-commit", "pytest-cov", "pytest-timeout", "pytest (>=6.0)"] + +[[package]] +name = "ipython" +version = "8.4.0" +description = "IPython: Productive Interactive Computing" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +appnope = {version = "*", markers = "sys_platform == \"darwin\""} +backcall = "*" +colorama = {version = "*", markers = "sys_platform == \"win32\""} +decorator = "*" +jedi = ">=0.16" +matplotlib-inline = "*" +pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""} +pickleshare = "*" +prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0" +pygments = ">=2.4.0" +stack-data = "*" +traitlets = ">=5" + +[package.extras] +all = ["black", "Sphinx (>=1.3)", "ipykernel", "nbconvert", "nbformat", "ipywidgets", "notebook", "ipyparallel", "qtconsole", "pytest (<7.1)", "pytest-asyncio", "testpath", "curio", "matplotlib (!=3.2.0)", "numpy (>=1.19)", "pandas", "trio"] +black = ["black"] +doc = ["Sphinx (>=1.3)"] +kernel = ["ipykernel"] +nbconvert = ["nbconvert"] +nbformat = ["nbformat"] +notebook = ["ipywidgets", "notebook"] +parallel = ["ipyparallel"] +qtconsole = ["qtconsole"] +test = ["pytest (<7.1)", "pytest-asyncio", "testpath"] +test_extra = ["pytest (<7.1)", "pytest-asyncio", "testpath", "curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.19)", "pandas", "trio"] + +[[package]] +name = "ipython-genutils" +version = "0.2.0" +description = "Vestigial utilities from IPython" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "ipywidgets" +version = "7.7.1" +description = "IPython HTML widgets for Jupyter" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +ipykernel = ">=4.5.1" +ipython = {version = ">=4.0.0", markers = "python_version >= \"3.3\""} +ipython-genutils = ">=0.2.0,<0.3.0" +jupyterlab-widgets = {version = ">=1.0.0", markers = "python_version >= \"3.6\""} +traitlets = ">=4.3.1" +widgetsnbextension = ">=3.6.0,<3.7.0" + +[package.extras] +test = ["pytest (>=3.6.0)", "pytest-cov", "mock"] + +[[package]] +name = "jedi" +version = "0.18.1" +description = "An autocompletion tool for Python that can be used for text editors." +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +parso = ">=0.8.0,<0.9.0" + +[package.extras] +qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] +testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"] + +[[package]] +name = "jinja2" +version = "3.1.2" +description = "A very fast and expressive template engine." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +MarkupSafe = ">=2.0" + +[package.extras] +i18n = ["Babel (>=2.7)"] + +[[package]] +name = "jsonschema" +version = "4.9.1" +description = "An implementation of JSON Schema validation for Python" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +attrs = ">=17.4.0" +pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] + +[[package]] +name = "jupyter-client" +version = "7.3.4" +description = "Jupyter protocol implementation and client libraries" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +entrypoints = "*" +jupyter-core = ">=4.9.2" +nest-asyncio = ">=1.5.4" +python-dateutil = ">=2.8.2" +pyzmq = ">=23.0" +tornado = ">=6.0" +traitlets = "*" + +[package.extras] +doc = ["ipykernel", "myst-parser", "sphinx-rtd-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt"] +test = ["codecov", "coverage", "ipykernel (>=6.5)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "jupyter-core" +version = "4.11.1" +description = "Jupyter core package. A base package on which Jupyter projects rely." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} +traitlets = "*" + +[package.extras] +test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "jupyterlab-pygments" +version = "0.2.2" +description = "Pygments theme using JupyterLab CSS variables" +category = "main" +optional = false +python-versions = ">=3.7" + +[[package]] +name = "jupyterlab-widgets" +version = "1.1.1" +description = "A JupyterLab extension." +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] +name = "lxml" +version = "4.9.1" +description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*" + +[package.extras] +cssselect = ["cssselect (>=0.7)"] +html5 = ["html5lib"] +htmlsoup = ["beautifulsoup4"] +source = ["Cython (>=0.29.7)"] + +[[package]] +name = "markupsafe" +version = "2.1.1" +description = "Safely add untrusted strings to HTML/XML markup." +category = "main" +optional = false +python-versions = ">=3.7" + +[[package]] +name = "matplotlib-inline" +version = "0.1.3" +description = "Inline Matplotlib backend for Jupyter" +category = "main" +optional = false +python-versions = ">=3.5" + +[package.dependencies] +traitlets = "*" + +[[package]] +name = "mistune" +version = "0.8.4" +description = "The fastest markdown parser in pure Python" +category = "main" +optional = false +python-versions = "*" + [[package]] name = "more-itertools" version = "8.14.0" @@ -126,6 +588,125 @@ category = "dev" optional = false python-versions = ">=3.5" +[[package]] +name = "natsort" +version = "8.1.0" +description = "Simple yet flexible natural sorting in Python." +category = "main" +optional = false +python-versions = ">=3.6" + +[package.extras] +fast = ["fastnumbers (>=2.0.0)"] +icu = ["PyICU (>=1.0.0)"] + +[[package]] +name = "nbclient" +version = "0.6.6" +description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." +category = "main" +optional = false +python-versions = ">=3.7.0" + +[package.dependencies] +jupyter-client = ">=6.1.5" +nbformat = ">=5.0" +nest-asyncio = "*" +traitlets = ">=5.2.2" + +[package.extras] +sphinx = ["autodoc-traits", "mock", "moto", "myst-parser", "Sphinx (>=1.7)", "sphinx-book-theme"] +test = ["black", "check-manifest", "flake8", "ipykernel", "ipython (<8.0.0)", "ipywidgets (<8.0.0)", "mypy", "pip (>=18.1)", "pre-commit", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=60.0)", "testpath", "twine (>=1.11.0)", "xmltodict"] + +[[package]] +name = "nbconvert" +version = "6.5.2" +description = "Converting Jupyter Notebooks" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +beautifulsoup4 = "*" +bleach = "*" +defusedxml = "*" +entrypoints = ">=0.2.2" +jinja2 = ">=3.0" +jupyter-core = ">=4.7" +jupyterlab-pygments = "*" +lxml = "*" +MarkupSafe = ">=2.0" +mistune = ">=0.8.1,<2" +nbclient = ">=0.5.0" +nbformat = ">=5.1" +packaging = "*" +pandocfilters = ">=1.4.1" +pygments = ">=2.4.1" +tinycss2 = "*" +traitlets = ">=5.0" + +[package.extras] +all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)", "tornado (>=6.1)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"] +docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"] +serve = ["tornado (>=6.1)"] +test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)"] +webpdf = ["pyppeteer (>=1,<1.1)"] + +[[package]] +name = "nbformat" +version = "5.4.0" +description = "The Jupyter Notebook format" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +fastjsonschema = "*" +jsonschema = ">=2.6" +jupyter-core = "*" +traitlets = ">=5.1" + +[package.extras] +test = ["check-manifest", "testpath", "pytest", "pre-commit"] + +[[package]] +name = "nest-asyncio" +version = "1.5.5" +description = "Patch asyncio to allow nested event loops" +category = "main" +optional = false +python-versions = ">=3.5" + +[[package]] +name = "notebook" +version = "6.4.12" +description = "A web-based notebook environment for interactive computing" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +argon2-cffi = "*" +ipykernel = "*" +ipython-genutils = "*" +jinja2 = "*" +jupyter-client = ">=5.3.4" +jupyter-core = ">=4.6.1" +nbconvert = ">=5" +nbformat = "*" +nest-asyncio = ">=1.5" +prometheus-client = "*" +pyzmq = ">=17" +Send2Trash = ">=1.8.0" +terminado = ">=0.8.3" +tornado = ">=6.1" +traitlets = ">=4.2.1" + +[package.extras] +docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"] +json-logging = ["json-logging"] +test = ["pytest", "coverage", "requests", "testpath", "nbval", "selenium", "pytest-cov", "requests-unixsocket"] + [[package]] name = "numpy" version = "1.23.1" @@ -168,30 +749,173 @@ version = "21.3" description = "Core utilities for Python packages" category = "main" optional = false -python-versions = ">=3.6" - -[package.dependencies] -pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" +python-versions = ">=3.6" + +[package.dependencies] +pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" + +[[package]] +name = "pandas" +version = "1.4.3" +description = "Powerful data structures for data analysis, time series, and statistics" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +numpy = [ + {version = ">=1.18.5", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""}, + {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""}, + {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\""}, +] +python-dateutil = ">=2.8.1" +pytz = ">=2020.1" + +[package.extras] +test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] + +[[package]] +name = "pandocfilters" +version = "1.5.0" +description = "Utilities for writing pandoc filters in python" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[[package]] +name = "parso" +version = "0.8.3" +description = "A Python Parser" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.extras] +qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] +testing = ["docopt", "pytest (<6.0.0)"] + +[[package]] +name = "pexpect" +version = "4.8.0" +description = "Pexpect allows easy control of interactive console applications." +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +ptyprocess = ">=0.5" + +[[package]] +name = "pickleshare" +version = "0.7.5" +description = "Tiny 'shelve'-like database with concurrency 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a/viewer/visualizer.py b/viewer/visualizer.py new file mode 100644 index 000000000..3f6249d4a --- /dev/null +++ b/viewer/visualizer.py @@ -0,0 +1,88 @@ +from pathlib import Path +from typing import Dict, List, Tuple +import cv2 + +import streamlit as st +import pandas as pd +from natsort import natsorted +from functools import partial + + +@st.cache() +def load_available_projects_and_indices( + data_root: Path, + ) -> Tuple[Dict[str, List[str]], Dict[str, list[Path]]]: + out_names = {} + out_paths = {} + for project in data_root.iterdir(): + if not project.is_dir(): + continue + + if "indexes" not in {p.name for p in project.iterdir() if p.is_dir()}: + continue + + paths = [p for p in (project / "indexes").iterdir() if p.suffix == ".csv"] + names = [p.name.rsplit("_", 1)[0] for p in paths] + + out_names[project.name] = names + out_paths[project.name] = paths + + return out_names, out_paths + + +@st.cache() +def load_csv(path: Path): + return pd.read_csv(path).sort_values(['score', 'identifier'], ascending=False) + + +def key_to_pth(key, index_pth: Path) -> Path: + label_hash, du_hash, frame, *_ = key.split("_") + img_pth = index_pth.parent.parent / "data" / label_hash / "images" / f"{du_hash}.jpg" + return img_pth + +def build_card(row): + return 0 + +def main(): + st.title('Welcome to the Quality Metric project') + instructions = """ + Choose the project and the type of errors you want to display. + The results will be displayed below. + """ + st.write(instructions) + + cache_dir = Path("~/data/encord").expanduser() + + names, paths = load_available_projects_and_indices(cache_dir) + + project_names = natsorted(list(names.keys())) + project_name = st.sidebar.selectbox( + "Project", project_names) + + indexers = names[project_name] + + selected_indexer = st.sidebar.selectbox("Index type", indexers) + indexer_idx = indexers.index(selected_indexer) + + index_pth = paths[project_name][indexer_idx] + df = load_csv(index_pth) + + size = 4 + n = int(df.size // size**2) + + slider_index = st.slider("Choose quality", 0, n, value=n // 2) + + identifiers = df.iloc[slider_index * size**2:(slider_index+1)*size**2]["identifier"] + image_paths = list(map(partial(key_to_pth, index_pth=index_pth), identifiers)) + + st.write("Some examples:") + for i, img_pth in enumerate(image_paths): + img = cv2.imread(img_pth.as_posix()) + image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + + st.image(image) + st.write(img_pth) + + +if __name__ == '__main__': + main() From 8fcddc0922b143fcffa60f66413205d2b7089479 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Frederik=20Hvilsh=C3=B8j?= Date: Fri, 12 Aug 2022 08:55:20 +0200 Subject: [PATCH 2/7] Ignore `.hydra` subdir. --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 6bcf7a74b..1e50ab4f0 100644 --- a/.gitignore +++ b/.gitignore @@ -347,4 +347,5 @@ tags # End of https://www.toptal.com/developers/gitignore/api/macos,linux,vim,python,pycharm /conf/config.yaml /pocs/outputs/ +.hydra .idea \ No newline at end of file From b9f0a56162d5b81013d86c249fc748b494536d08 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Frederik=20Hvilsh=C3=B8j?= Date: Fri, 12 Aug 2022 09:45:01 +0200 Subject: [PATCH 3/7] Better visualizaiton of elements. --- viewer/visualizer.py | 60 ++++++++++++++++++++++++++++++++------------ 1 file changed, 44 insertions(+), 16 deletions(-) diff --git a/viewer/visualizer.py b/viewer/visualizer.py index 3f6249d4a..74996bc7b 100644 --- a/viewer/visualizer.py +++ b/viewer/visualizer.py @@ -21,33 +21,38 @@ def load_available_projects_and_indices( if "indexes" not in {p.name for p in project.iterdir() if p.is_dir()}: continue + project_name = project.name .split("_", 1)[1] + project_name = project_name.replace("-", " ") + paths = [p for p in (project / "indexes").iterdir() if p.suffix == ".csv"] - names = [p.name.rsplit("_", 1)[0] for p in paths] + names = [p.name.rsplit("_", 1)[0].split("-")[0] for p in paths] - out_names[project.name] = names - out_paths[project.name] = paths + out_names[project_name] = names + out_paths[project_name] = paths return out_names, out_paths @st.cache() def load_csv(path: Path): - return pd.read_csv(path).sort_values(['score', 'identifier'], ascending=False) + return pd.read_csv(path).sort_values(['score', 'identifier'], ascending=True).reset_index() def key_to_pth(key, index_pth: Path) -> Path: label_hash, du_hash, frame, *_ = key.split("_") img_pth = index_pth.parent.parent / "data" / label_hash / "images" / f"{du_hash}.jpg" - return img_pth -def build_card(row): - return 0 + if not img_pth.exists(): + img_pth = Path(__file__).parent / "resources" / "Image_not_available.jpeg" + + return img_pth def main(): - st.title('Welcome to the Quality Metric project') + st.write('', unsafe_allow_html=True) + + st.title('Quality Metric project') instructions = """ Choose the project and the type of errors you want to display. - The results will be displayed below. """ st.write(instructions) @@ -67,21 +72,44 @@ def main(): index_pth = paths[project_name][indexer_idx] df = load_csv(index_pth) - size = 4 - n = int(df.size // size**2) + size = 3 + n = int(len(df) // size**2) slider_index = st.slider("Choose quality", 0, n, value=n // 2) - identifiers = df.iloc[slider_index * size**2:(slider_index+1)*size**2]["identifier"] - image_paths = list(map(partial(key_to_pth, index_pth=index_pth), identifiers)) + subset = df.iloc[slider_index * size**2:(slider_index+1)*size**2] + print(subset) st.write("Some examples:") - for i, img_pth in enumerate(image_paths): + + def build_card(row, st_col): + img_pth = key_to_pth(row["identifier"], index_pth) + print(img_pth) img = cv2.imread(img_pth.as_posix()) image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) - st.image(image) - st.write(img_pth) + st_col.image(image) + info_line = f""" + Score: {row['score']:.3f} | + + + + Editor (frame {row['frame']}) + + + """ + st_col.write(info_line, unsafe_allow_html=True) + + if not pd.isnull(row["description"]): + st_col.write(f"Description: {row['description']}") + + cols = [] + for i, row in subset.iterrows(): + if not cols: + cols = list(st.columns(size)) + + build_card(row, cols.pop(0)) + if __name__ == '__main__': From 72b4c66d7b7666129a525018640e6d62105abe3f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Frederik=20Hvilsh=C3=B8j?= Date: Fri, 12 Aug 2022 10:20:11 +0200 Subject: [PATCH 4/7] Improvements to visualizer. --- viewer/visualizer.py | 148 +++++++++++++++++++++++++++++++++---------- 1 file changed, 113 insertions(+), 35 deletions(-) diff --git a/viewer/visualizer.py b/viewer/visualizer.py index 74996bc7b..888dd649a 100644 --- a/viewer/visualizer.py +++ b/viewer/visualizer.py @@ -3,15 +3,16 @@ import cv2 import streamlit as st +import numpy as np import pandas as pd from natsort import natsorted -from functools import partial +import json @st.cache() def load_available_projects_and_indices( - data_root: Path, - ) -> Tuple[Dict[str, List[str]], Dict[str, list[Path]]]: + data_root: Path, +) -> Tuple[Dict[str, List[str]], Dict[str, list[Path]]]: out_names = {} out_paths = {} for project in data_root.iterdir(): @@ -21,7 +22,7 @@ def load_available_projects_and_indices( if "indexes" not in {p.name for p in project.iterdir() if p.is_dir()}: continue - project_name = project.name .split("_", 1)[1] + project_name = project.name.split("_", 1)[1] project_name = project_name.replace("-", " ") paths = [p for p in (project / "indexes").iterdir() if p.suffix == ".csv"] @@ -35,22 +36,122 @@ def load_available_projects_and_indices( @st.cache() def load_csv(path: Path): - return pd.read_csv(path).sort_values(['score', 'identifier'], ascending=True).reset_index() + return ( + pd.read_csv(path) + .sort_values(["score", "identifier"], ascending=True) + .reset_index() + ) def key_to_pth(key, index_pth: Path) -> Path: label_hash, du_hash, frame, *_ = key.split("_") - img_pth = index_pth.parent.parent / "data" / label_hash / "images" / f"{du_hash}.jpg" + img_pth = ( + index_pth.parent.parent / "data" / label_hash / "images" / f"{du_hash}.jpg" + ) if not img_pth.exists(): img_pth = Path(__file__).parent / "resources" / "Image_not_available.jpeg" return img_pth + +def __hex_to_rgb(value, alpha=None): + value = value.lstrip("#") + lv = len(value) + color = list(int(value[i : i + lv // 3], 16) for i in range(0, lv, lv // 3)) + + return tuple(color) + + +def __get_geometry(obj, w, h): + if obj["shape"] == "polygon": + p = obj["polygon"] + polygon = np.array( + [[p[str(i)]["x"] * w, p[str(i)]["y"] * h] for i in range(len(p))] + ) + else: + b = obj["boundingBox"] + polygon = np.arary( + [ + [b["x"] * w, b["y"] * h], + [(b["x"] + b["w"]) * w, b["y"] * h], + [(b["x"] + b["w"]) * w, (b["y"] + b["h"]) * h], + [b["x"] * w, (b["y"] + b["h"]) * h], + ] + ) + polygon = polygon.reshape((-1, 1, 2)).astype(int) + return polygon + + +def get_geometries(row, img_pth): + label_hash, du_hash, frame, *rest = row["identifier"].split("_") + if rest: + object_hash = rest[0] + + json_pth = img_pth.parent.parent / "label_row.json" + + with json_pth.open("r") as f: + label_row = json.load(f) + + du = label_row["data_units"][du_hash] + + w = int(du["width"]) + h = int(du["height"]) + geometries = [] + if object_hash: + # Return all geometries + for obj in du["labels"]["objects"]: + if obj["objectHash"] == object_hash: + geometries.append((obj["color"], __get_geometry(obj, w, h))) + else: + # Get all geometries + for obj in du["labels"]["objects"]: + if obj["shape"] not in {"polygon", "bounding_box"}: + continue + geometries.append((obj["color"], __get_geometry(obj, w, h))) + + return geometries + + +def build_card(row, index_pth, st_col): + img_pth = key_to_pth(row["identifier"], index_pth) + + img = cv2.imread(img_pth.as_posix()) + image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + + if "not_available" not in img_pth.as_posix(): + isClosed = True + thickness = 5 + + print(row) + for color, geometry in get_geometries(row, img_pth): + image = cv2.polylines( + image, [geometry], isClosed, __hex_to_rgb(color), thickness + ) + + st_col.image(image) + info_line = f""" + Score: {row['score']:.3f} | + + + + Editor (frame {row['frame']}) + + + """ + st_col.write(info_line, unsafe_allow_html=True) + + if not pd.isnull(row["description"]): + st_col.write(f"Description: {row['description']}") + + def main(): - st.write('', unsafe_allow_html=True) + st.write( + '', + unsafe_allow_html=True, + ) - st.title('Quality Metric project') + st.title("Quality Metric project") instructions = """ Choose the project and the type of errors you want to display. """ @@ -61,8 +162,7 @@ def main(): names, paths = load_available_projects_and_indices(cache_dir) project_names = natsorted(list(names.keys())) - project_name = st.sidebar.selectbox( - "Project", project_names) + project_name = st.sidebar.selectbox("Project", project_names) indexers = names[project_name] @@ -77,40 +177,18 @@ def main(): slider_index = st.slider("Choose quality", 0, n, value=n // 2) - subset = df.iloc[slider_index * size**2:(slider_index+1)*size**2] + subset = df.iloc[slider_index * size**2 : (slider_index + 1) * size**2] print(subset) st.write("Some examples:") - def build_card(row, st_col): - img_pth = key_to_pth(row["identifier"], index_pth) - print(img_pth) - img = cv2.imread(img_pth.as_posix()) - image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) - - st_col.image(image) - info_line = f""" - Score: {row['score']:.3f} | - - - - Editor (frame {row['frame']}) - - - """ - st_col.write(info_line, unsafe_allow_html=True) - - if not pd.isnull(row["description"]): - st_col.write(f"Description: {row['description']}") - cols = [] for i, row in subset.iterrows(): if not cols: cols = list(st.columns(size)) - build_card(row, cols.pop(0)) - + build_card(row, index_pth, cols.pop(0)) -if __name__ == '__main__': +if __name__ == "__main__": main() From e5f16564fa5a797cd967b5a272861b331816d43b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Frederik=20Hvilsh=C3=B8j?= Date: Fri, 12 Aug 2022 10:20:47 +0200 Subject: [PATCH 5/7] Remove unused config. --- conf/config_example.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/conf/config_example.yaml b/conf/config_example.yaml index 10be4c16a..46648ef63 100644 --- a/conf/config_example.yaml +++ b/conf/config_example.yaml @@ -5,6 +5,3 @@ paths: encord: project_name: "[External] [People for AI] YouTube-VOS" - -streamlit: - port: 8502 \ No newline at end of file From 45c058bc2a45dca8fa84afa33921d3c903ff4dd3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Frederik=20Hvilsh=C3=B8j?= Date: Fri, 12 Aug 2022 10:42:55 +0200 Subject: [PATCH 6/7] Clean up and docstrings. --- viewer/{visualizer.py => visualiser.py} | 108 ++++++++++++++++++------ 1 file changed, 81 insertions(+), 27 deletions(-) rename viewer/{visualizer.py => visualiser.py} (60%) diff --git a/viewer/visualizer.py b/viewer/visualiser.py similarity index 60% rename from viewer/visualizer.py rename to viewer/visualiser.py index 888dd649a..65a26b172 100644 --- a/viewer/visualizer.py +++ b/viewer/visualiser.py @@ -1,18 +1,30 @@ +import json from pathlib import Path from typing import Dict, List, Tuple -import cv2 -import streamlit as st +import cv2 import numpy as np import pandas as pd +import streamlit as st from natsort import natsorted -import json +from pandas import Series, DataFrame +from streamlit.delta_generator import DeltaGenerator @st.cache() def load_available_projects_and_indices( data_root: Path, ) -> Tuple[Dict[str, List[str]], Dict[str, list[Path]]]: + """ + Search for directories which contain indexes and populate two dictionaries. + #. A dictionary of key-value-pairs (project name, index name) + #. A dictinary of key-value-paiers (project name, path to index file) + + This function is the source for populating the sidepanel. + + :param data_root: The data root which contains project folders. + :return: The two dictinaries. + """ out_names = {} out_paths = {} for project in data_root.iterdir(): @@ -35,7 +47,13 @@ def load_available_projects_and_indices( @st.cache() -def load_csv(path: Path): +def load_csv(path: Path) -> DataFrame: + """ + Load and sort the selected csv file and cache it so we don't need to perform this + heavy computation each time the slider in the UI is moved. + :param path: the path to the csv file. + :return: a pandas data frame. + """ return ( pd.read_csv(path) .sort_values(["score", "identifier"], ascending=True) @@ -44,6 +62,12 @@ def load_csv(path: Path): def key_to_pth(key, index_pth: Path) -> Path: + """ + Infer image path from the identifier stored in the csv files. + :param key: the row["identifier"] from a csv row + :param index_pth: the path to the selected index file. + :return: The associated image path if it exists or a path to a placeholder otherwise + """ label_hash, du_hash, frame, *_ = key.split("_") img_pth = ( index_pth.parent.parent / "data" / label_hash / "images" / f"{du_hash}.jpg" @@ -55,15 +79,28 @@ def key_to_pth(key, index_pth: Path) -> Path: return img_pth -def __hex_to_rgb(value, alpha=None): +def __hex_to_rgb(value: str) -> Tuple[int, ...]: + """ + "#000011" -> (0, 0, 255) + :param value: the hex color. + :return: the rgb values. + """ value = value.lstrip("#") lv = len(value) - color = list(int(value[i : i + lv // 3], 16) for i in range(0, lv, lv // 3)) + return tuple(int(value[i : i + lv // 3], 16) for i in range(0, lv, lv // 3)) - return tuple(color) -def __get_geometry(obj, w, h): +def __get_geometry(obj: dict, w: int, h: int) -> np.ndarray: + """ + Convert Encord object dictionary to polygon coordinates used to draw geometries + with opencv. + + :param obj: the encord object dict + :param w: the image width + :param h: the image height + :return: The polygon coordinates + """ if obj["shape"] == "polygon": p = obj["polygon"] polygon = np.array( @@ -83,10 +120,17 @@ def __get_geometry(obj, w, h): return polygon -def get_geometries(row, img_pth): +def get_geometries(row: Series, img_pth: Path) -> List[Tuple[str, np.ndarray]]: + """ + Loads cached label row and computes geometries from the label row. + If the ``identifier`` in the ``row`` contains an object hash, only that object will + be drawn. If no object hash exists, all polygons / bboxes will be drawn. + :param row: the pandes row of the selected csv file. + :param img_pth: the path to the associated image (used for infering the location + of the cached label row. + :return: List of tuples of (hex color, polygon: [[x, y], ...]) + """ label_hash, du_hash, frame, *rest = row["identifier"].split("_") - if rest: - object_hash = rest[0] json_pth = img_pth.parent.parent / "label_row.json" @@ -98,8 +142,9 @@ def get_geometries(row, img_pth): w = int(du["width"]) h = int(du["height"]) geometries = [] - if object_hash: - # Return all geometries + if rest: + # Return specific geometry + object_hash = rest[0] for obj in du["labels"]["objects"]: if obj["objectHash"] == object_hash: geometries.append((obj["color"], __get_geometry(obj, w, h))) @@ -113,23 +158,32 @@ def get_geometries(row, img_pth): return geometries -def build_card(row, index_pth, st_col): +def build_card(row: Series, index_pth: Path, st_col: DeltaGenerator): + """ + Builds each sub card (the content displayed for each row in a csv file). + :param row: The pandas rows from the csv file. + :param index_pth: The path to the csv index file. + :param st_col: The streamlit container for the content. + """ img_pth = key_to_pth(row["identifier"], index_pth) + # === Read and annotate the image === # img = cv2.imread(img_pth.as_posix()) image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + # === Draw polygons / bboxes if available === # if "not_available" not in img_pth.as_posix(): isClosed = True thickness = 5 - print(row) for color, geometry in get_geometries(row, img_pth): image = cv2.polylines( image, [geometry], isClosed, __hex_to_rgb(color), thickness ) st_col.image(image) + + # === Write scores and link to editor === # info_line = f""" Score: {row['score']:.3f} | @@ -146,21 +200,21 @@ def build_card(row, index_pth, st_col): def main(): + # Add font-awesome. st.write( '', unsafe_allow_html=True, ) + # === Title and instructions === # st.title("Quality Metric project") - instructions = """ - Choose the project and the type of errors you want to display. - """ - st.write(instructions) + st.write("Choose the project and the type of errors you want to display.") + # === Find available data === # cache_dir = Path("~/data/encord").expanduser() - names, paths = load_available_projects_and_indices(cache_dir) + # === Construct sidebar === # project_names = natsorted(list(names.keys())) project_name = st.sidebar.selectbox("Project", project_names) @@ -170,23 +224,23 @@ def main(): indexer_idx = indexers.index(selected_indexer) index_pth = paths[project_name][indexer_idx] + + # === Load selected data === # df = load_csv(index_pth) - size = 3 - n = int(len(df) // size**2) + # === Visualise results === # + size = 3 # Number of rows / cols for each slider position. + n = int(len(df) // size**2) # Number of steps in the slider. slider_index = st.slider("Choose quality", 0, n, value=n // 2) - subset = df.iloc[slider_index * size**2 : (slider_index + 1) * size**2] - print(subset) - - st.write("Some examples:") + # === Fill in the container === # cols = [] for i, row in subset.iterrows(): + print(type(row)) if not cols: cols = list(st.columns(size)) - build_card(row, index_pth, cols.pop(0)) From 31348485b415c72c0c74e5d5d09772747e44214e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Frederik=20Hvilsh=C3=B8j?= Date: Fri, 12 Aug 2022 10:44:08 +0200 Subject: [PATCH 7/7] README. --- README.md | 10 ++++++++++ viewer/visualiser.py | 1 - 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index c85187c15..e9b687e4f 100644 --- a/README.md +++ b/README.md @@ -31,3 +31,13 @@ or if you use pycharm, mark `data_quality_pocs` as a source root and just run th ## Developing new QMs Make a new file in the `pocs` directory and use the template provided in `pocs/example.py`. + + +## Visualising results + +To visualise results, you do the following: + +```shell +> cd viewer +> streamlit run visualiser.py +``` \ No newline at end of file diff --git a/viewer/visualiser.py b/viewer/visualiser.py index 65a26b172..26c2e6074 100644 --- a/viewer/visualiser.py +++ b/viewer/visualiser.py @@ -238,7 +238,6 @@ def main(): # === Fill in the container === # cols = [] for i, row in subset.iterrows(): - print(type(row)) if not cols: cols = list(st.columns(size)) build_card(row, index_pth, cols.pop(0))