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plat (v): plan out or make a map of

Utilities for exploring generative latent spaces as described in the Sampling Generative Networks paper.

Quickstart

Install this library, code supporting a model type, and go.

$ pip install plat
$ plat sample
Saving image file plat_20180401_NoModel_01.png

output image

Sampling Examples

By default, plat does a random sampling. The output file will be automatically generated, or can be given explicitly. To make the results repeatable, you can also specify a random seed.

$ plat sample \
--seed 1 \
--outfile examples/random_sample.jpg

output image

The number of rows and columns can be specified. Interpolation is done by specifying the spacing between samples.

$ plat sample \
--seed 1 \
--rows 1 --cols 7 \
--spacing 6 \
--outfile examples/random_interpolation.jpg

output image

Interpolation can be done across multiple points in two dimensions to create a mine grid (details in paper).

$ plat sample \
--seed 1 \
--rows 4 --cols 7 \
--spacing 3 \
--outfile examples/random_mine_grid.jpg

output image

There are many more options to explore. When experimenting, it can be useful to use a templated output filename.

$ plat sample \
--seed 17 \
--tight \
--rows 3 --cols 7 \
--spacing 2 \
--outfile examples/%DATE%_experiment_s%SEED%_%SEQ%.jpg

output image

Model types

plat comes with access to a growing list of models and model types in its model zoo. Each model type will have separate dependencies.

It's also possible to run plat on new types of models by providing a simple plat interface. There are a few examples and a template to get started. Here's an example of how to use plat sample with a manually specified model interface to generate a (random) mine grid from an iGAN model:

PYTHONPATH=. plat sample \
--model-interface plat.interface.igan.IganModel \
--model-file models/shoes_64.dcgan_theano \
--uniform \
--rows 4 --cols 10 \
--tight --spacing 3 \
--image-size 64 \
--seed 1

output image

About

No description, website, or topics provided.

Resources

Readme
MIT license
Activity

Stars

325 stars

Watchers

10 watching

Forks

46 forks
Report repository

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Used by

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
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plat (v): plan out or make a map of
Utilities for exploring generative latent spaces as described in the
Sampling Generative Networks paper.
Quickstart
Install this library, code supporting a model type, and go.
$ pip install plat
$ plat sample
Saving image file plat_20180401_NoModel_01.png

output image
Sampling Examples
By default, plat does a random sampling. The output file will be automatically
generated, or can be given explicitly. To make the results repeatable,
you can also specify a random seed.
$ plat sample \
--seed 1 \
--outfile examples/random_sample.jpg

output image
The number of rows and columns can be specified. Interpolation is
done by specifying the spacing between samples.
$ plat sample \
--seed 1 \
--rows 1 --cols 7 \
--spacing 6 \
--outfile examples/random_interpolation.jpg

output image
Interpolation can be done across multiple points in two dimensions to
create a mine grid (details in paper).
$ plat sample \
--seed 1 \
--rows 4 --cols 7 \
--spacing 3 \
--outfile examples/random_mine_grid.jpg

output image
There are many more options to explore. When experimenting, it can be
useful to use a templated output filename.
$ plat sample \
--seed 17 \
--tight \
--rows 3 --cols 7 \
--spacing 2 \
--outfile examples/%DATE%_experiment_s%SEED%_%SEQ%.jpg

output image
Model types
plat comes with access to a growing list of models and model types in its model zoo.
Each model type will have separate dependencies.
It's also possible to run plat on new types of models by providing a simple plat interface.
There are a few examples and a template
to get started. Here's an example of how to use plat sample with a manually specified
model interface to generate a (random) mine grid from an iGAN model:
PYTHONPATH=. plat sample \
--model-interface plat.interface.igan.IganModel \
--model-file models/shoes_64.dcgan_theano \
--uniform \
--rows 4 --cols 10 \
--tight --spacing 3 \
--image-size 64 \
--seed 1
output image
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
325 stars
Watchers
10 watching
Forks
46 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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plat (v): plan out or make a map of
Utilities for exploring generative latent spaces as described in the
Sampling Generative Networks paper.
Quickstart
Install this library, code supporting a model type, and go.
$ pip install plat
$ plat sample
Saving image file plat_20180401_NoModel_01.png

output image
Sampling Examples
By default, plat does a random sampling. The output file will be automatically
generated, or can be given explicitly. To make the results repeatable,
you can also specify a random seed.
$ plat sample \
--seed 1 \
--outfile examples/random_sample.jpg

output image
The number of rows and columns can be specified. Interpolation is
done by specifying the spacing between samples.
$ plat sample \
--seed 1 \
--rows 1 --cols 7 \
--spacing 6 \
--outfile examples/random_interpolation.jpg

output image
Interpolation can be done across multiple points in two dimensions to
create a mine grid (details in paper).
$ plat sample \
--seed 1 \
--rows 4 --cols 7 \
--spacing 3 \
--outfile examples/random_mine_grid.jpg

output image
There are many more options to explore. When experimenting, it can be
useful to use a templated output filename.
$ plat sample \
--seed 17 \
--tight \
--rows 3 --cols 7 \
--spacing 2 \
--outfile examples/%DATE%_experiment_s%SEED%_%SEQ%.jpg

output image
Model types
plat comes with access to a growing list of models and model types in its model zoo.
Each model type will have separate dependencies.
It's also possible to run plat on new types of models by providing a simple plat interface.
There are a few examples and a template
to get started. Here's an example of how to use plat sample with a manually specified
model interface to generate a (random) mine grid from an iGAN model:
PYTHONPATH=. plat sample \
--model-interface plat.interface.igan.IganModel \
--model-file models/shoes_64.dcgan_theano \
--uniform \
--rows 4 --cols 10 \
--tight --spacing 3 \
--image-size 64 \
--seed 1
output image
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
325 stars
Watchers
10 watching
Forks
46 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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plat (v): plan out or make a map of
Utilities for exploring generative latent spaces as described in the
Sampling Generative Networks paper.
Quickstart
Install this library, code supporting a model type, and go.
$ pip install plat
$ plat sample
Saving image file plat_20180401_NoModel_01.png

output image
Sampling Examples
By default, plat does a random sampling. The output file will be automatically
generated, or can be given explicitly. To make the results repeatable,
you can also specify a random seed.
$ plat sample \
--seed 1 \
--outfile examples/random_sample.jpg

output image
The number of rows and columns can be specified. Interpolation is
done by specifying the spacing between samples.
$ plat sample \
--seed 1 \
--rows 1 --cols 7 \
--spacing 6 \
--outfile examples/random_interpolation.jpg

output image
Interpolation can be done across multiple points in two dimensions to
create a mine grid (details in paper).
$ plat sample \
--seed 1 \
--rows 4 --cols 7 \
--spacing 3 \
--outfile examples/random_mine_grid.jpg

output image
There are many more options to explore. When experimenting, it can be
useful to use a templated output filename.
$ plat sample \
--seed 17 \
--tight \
--rows 3 --cols 7 \
--spacing 2 \
--outfile examples/%DATE%_experiment_s%SEED%_%SEQ%.jpg

output image
Model types
plat comes with access to a growing list of models and model types in its model zoo.
Each model type will have separate dependencies.
It's also possible to run plat on new types of models by providing a simple plat interface.
There are a few examples and a template
to get started. Here's an example of how to use plat sample with a manually specified
model interface to generate a (random) mine grid from an iGAN model:
PYTHONPATH=. plat sample \
--model-interface plat.interface.igan.IganModel \
--model-file models/shoes_64.dcgan_theano \
--uniform \
--rows 4 --cols 10 \
--tight --spacing 3 \
--image-size 64 \
--seed 1
output image
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
325 stars
Watchers
10 watching
Forks
46 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
plat (v): plan out or make a map of
Utilities for exploring generative latent spaces as described in the
Sampling Generative Networks paper.
Quickstart
Install this library, code supporting a model type, and go.
$ pip install plat
$ plat sample
Saving image file plat_20180401_NoModel_01.png

output image
Sampling Examples
By default, plat does a random sampling. The output file will be automatically
generated, or can be given explicitly. To make the results repeatable,
you can also specify a random seed.
$ plat sample \
--seed 1 \
--outfile examples/random_sample.jpg

output image
The number of rows and columns can be specified. Interpolation is
done by specifying the spacing between samples.
$ plat sample \
--seed 1 \
--rows 1 --cols 7 \
--spacing 6 \
--outfile examples/random_interpolation.jpg

output image
Interpolation can be done across multiple points in two dimensions to
create a mine grid (details in paper).
$ plat sample \
--seed 1 \
--rows 4 --cols 7 \
--spacing 3 \
--outfile examples/random_mine_grid.jpg

output image
There are many more options to explore. When experimenting, it can be
useful to use a templated output filename.
$ plat sample \
--seed 17 \
--tight \
--rows 3 --cols 7 \
--spacing 2 \
--outfile examples/%DATE%_experiment_s%SEED%_%SEQ%.jpg

output image
Model types
plat comes with access to a growing list of models and model types in its model zoo.
Each model type will have separate dependencies.
It's also possible to run plat on new types of models by providing a simple plat interface.
There are a few examples and a template
to get started. Here's an example of how to use plat sample with a manually specified
model interface to generate a (random) mine grid from an iGAN model:
PYTHONPATH=. plat sample \
--model-interface plat.interface.igan.IganModel \
--model-file models/shoes_64.dcgan_theano \
--uniform \
--rows 4 --cols 10 \
--tight --spacing 3 \
--image-size 64 \
--seed 1
output image
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
325 stars
Watchers
10 watching
Forks
46 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
plat (v): plan out or make a map of
Utilities for exploring generative latent spaces as described in the
Sampling Generative Networks paper.
Quickstart
Install this library, code supporting a model type, and go.
$ pip install plat
$ plat sample
Saving image file plat_20180401_NoModel_01.png

output image
Sampling Examples
By default, plat does a random sampling. The output file will be automatically
generated, or can be given explicitly. To make the results repeatable,
you can also specify a random seed.
$ plat sample \
--seed 1 \
--outfile examples/random_sample.jpg

output image
The number of rows and columns can be specified. Interpolation is
done by specifying the spacing between samples.
$ plat sample \
--seed 1 \
--rows 1 --cols 7 \
--spacing 6 \
--outfile examples/random_interpolation.jpg

output image
Interpolation can be done across multiple points in two dimensions to
create a mine grid (details in paper).
$ plat sample \
--seed 1 \
--rows 4 --cols 7 \
--spacing 3 \
--outfile examples/random_mine_grid.jpg

output image
There are many more options to explore. When experimenting, it can be
useful to use a templated output filename.
$ plat sample \
--seed 17 \
--tight \
--rows 3 --cols 7 \
--spacing 2 \
--outfile examples/%DATE%_experiment_s%SEED%_%SEQ%.jpg

output image
Model types
plat comes with access to a growing list of models and model types in its model zoo.
Each model type will have separate dependencies.
It's also possible to run plat on new types of models by providing a simple plat interface.
There are a few examples and a template
to get started. Here's an example of how to use plat sample with a manually specified
model interface to generate a (random) mine grid from an iGAN model:
PYTHONPATH=. plat sample \
--model-interface plat.interface.igan.IganModel \
--model-file models/shoes_64.dcgan_theano \
--uniform \
--rows 4 --cols 10 \
--tight --spacing 3 \
--image-size 64 \
--seed 1
output image
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
325 stars
Watchers
10 watching
Forks
46 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
plat (v): plan out or make a map of
Utilities for exploring generative latent spaces as described in the
Sampling Generative Networks paper.
Quickstart
Install this library, code supporting a model type, and go.
$ pip install plat
$ plat sample
Saving image file plat_20180401_NoModel_01.png

output image
Sampling Examples
By default, plat does a random sampling. The output file will be automatically
generated, or can be given explicitly. To make the results repeatable,
you can also specify a random seed.
$ plat sample \
--seed 1 \
--outfile examples/random_sample.jpg

output image
The number of rows and columns can be specified. Interpolation is
done by specifying the spacing between samples.
$ plat sample \
--seed 1 \
--rows 1 --cols 7 \
--spacing 6 \
--outfile examples/random_interpolation.jpg

output image
Interpolation can be done across multiple points in two dimensions to
create a mine grid (details in paper).
$ plat sample \
--seed 1 \
--rows 4 --cols 7 \
--spacing 3 \
--outfile examples/random_mine_grid.jpg

output image
There are many more options to explore. When experimenting, it can be
useful to use a templated output filename.
$ plat sample \
--seed 17 \
--tight \
--rows 3 --cols 7 \
--spacing 2 \
--outfile examples/%DATE%_experiment_s%SEED%_%SEQ%.jpg

output image
Model types
plat comes with access to a growing list of models and model types in its model zoo.
Each model type will have separate dependencies.
It's also possible to run plat on new types of models by providing a simple plat interface.
There are a few examples and a template
to get started. Here's an example of how to use plat sample with a manually specified
model interface to generate a (random) mine grid from an iGAN model:
PYTHONPATH=. plat sample \
--model-interface plat.interface.igan.IganModel \
--model-file models/shoes_64.dcgan_theano \
--uniform \
--rows 4 --cols 10 \
--tight --spacing 3 \
--image-size 64 \
--seed 1
output image
About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
325 stars
Watchers
10 watching
Forks
46 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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plat (v): plan out or make a map of
Utilities for exploring generative latent spaces as described in the
Sampling Generative Networks paper.
Quickstart
Install this library, code supporting a model type, and go.
$ pip install plat
$ plat sample
Saving image file plat_20180401_NoModel_01.png

output image
Sampling Examples
By default, plat does a random sampling. The output file will be automatically
generated, or can be given explicitly. To make the results repeatable,
you can also specify a random seed.
$ plat sample \
--seed 1 \
--outfile examples/random_sample.jpg

output image
The number of rows and columns can be specified. Interpolation is
done by specifying the spacing between samples.
$ plat sample \
--seed 1 \
--rows 1 --cols 7 \
--spacing 6 \
--outfile examples/random_interpolation.jpg

output image
Interpolation can be done across multiple points in two dimensions to
create a mine grid (details in paper).
$ plat sample \
--seed 1 \
--rows 4 --cols 7 \
--spacing 3 \
--outfile examples/random_mine_grid.jpg

output image
There are many more options to explore. When experimenting, it can be
useful to use a templated output filename.
$ plat sample \
--seed 17 \
--tight \
--rows 3 --cols 7 \
--spacing 2 \
--outfile examples/%DATE%_experiment_s%SEED%_%SEQ%.jpg

output image
Model types
plat comes with access to a growing list of models and model types in its model zoo.
Each model type will have separate dependencies.
It's also possible to run plat on new types of models by providing a simple plat interface.
There are a few examples and a template
to get started. Here's an example of how to use plat sample with a manually specified
model interface to generate a (random) mine grid from an iGAN model:
PYTHONPATH=. plat sample \
--model-interface plat.interface.igan.IganModel \
--model-file models/shoes_64.dcgan_theano \
--uniform \
--rows 4 --cols 10 \
--tight --spacing 3 \
--image-size 64 \
--seed 1
output image
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