diff --git a/test/saliency/README.md b/test/saliency/README.md
deleted file mode 100644
index 580d7f24..00000000
--- a/test/saliency/README.md
+++ /dev/null
@@ -1,16 +0,0 @@
-# Crop strategy accuracy
-
-1. Download the [MSRA Salient Object Database](http://research.microsoft.com/en-us/um/people/jiansun/SalientObject/salient_object.htm) (101MB).
-2. Extract each image and its median human-labelled salient region.
-3. Generate a test report of percentage deviance of top and left edges for each crop strategy, plus a naive centre gravity crop as "control".
-
-```sh
-git clone https://github.com/lovell/sharp.git
-cd sharp/test/saliency
-./download.sh
-node report.js
-python -m SimpleHTTPServer
-```
-
-The test report will then be available at
-http://localhost:8000/report.html
diff --git a/test/saliency/download.sh b/test/saliency/download.sh
deleted file mode 100755
index 74784472..00000000
--- a/test/saliency/download.sh
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/bin/sh
-
-# Fetch and parse the MSRA Salient Object Database 'Image set B'
-# http://research.microsoft.com/en-us/um/people/jiansun/salientobject/salient_object.htm
-
-if [ ! -d Image ]; then
- if [ ! -f ImageB.zip ]; then
- echo "Downloading 5000 images (101MB)"
- curl -O http://research.microsoft.com/en-us/um/people/jiansun/salientobject/ImageSetB/ImageB.zip
- fi
- unzip ImageB.zip
-fi
-
-if [ ! -d UserData ]; then
- if [ ! -f UserDataB.zip ]; then
- echo "Downloading human-labelled regions"
- curl -O http://research.microsoft.com/en-us/um/people/jiansun/salientobject/ImageSetB/UserDataB.zip
- fi
- unzip UserDataB.zip
-fi
-
-if [ ! -f userData.json ]; then
- echo "Processing human-labelled regions"
- node userData.js
-fi
diff --git a/test/saliency/humanae/download.js b/test/saliency/humanae/download.js
deleted file mode 100644
index e3d07ddb..00000000
--- a/test/saliency/humanae/download.js
+++ /dev/null
@@ -1,40 +0,0 @@
-// Copyright 2013 Lovell Fuller and others.
-// SPDX-License-Identifier: Apache-2.0
-
-'use strict';
-
-const fs = require('fs');
-const request = require('request');
-const tumblr = require('tumblr.js');
-
-const client = tumblr.createClient({
- consumer_key: '***',
- consumer_secret: '***'
-});
-
-const fetchImages = function (offset) {
- console.log(`Fetching offset ${offset}`);
- client.posts('humanae', {
- type: 'photo',
- offset: offset
- }, function (err, response) {
- if (err) throw err;
- if (response.posts.length > 0) {
- response.posts.forEach((post) => {
- const url = post.photos[0].alt_sizes
- .filter((image) => image.width === 100)
- .map((image) => image.url)[0];
- const filename = `./images/${post.id}.jpg`;
- try {
- fs.statSync(filename);
- } catch (err) {
- if (err.code === 'ENOENT') {
- request(url).pipe(fs.createWriteStream(filename));
- }
- }
- });
- fetchImages(offset + 20);
- }
- });
-};
-fetchImages(0);
diff --git a/test/saliency/humanae/package.json b/test/saliency/humanae/package.json
deleted file mode 100644
index f436f5a2..00000000
--- a/test/saliency/humanae/package.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
- "name": "sharp-crop-strategy-attention-model-humanae",
- "version": "0.0.1",
- "private": true,
- "dependencies": {
- "request": "^2.75.0",
- "tumblr.js": "^1.1.1"
- }
-}
diff --git a/test/saliency/humanae/tone.js b/test/saliency/humanae/tone.js
deleted file mode 100644
index 7081614a..00000000
--- a/test/saliency/humanae/tone.js
+++ /dev/null
@@ -1,36 +0,0 @@
-// Copyright 2013 Lovell Fuller and others.
-// SPDX-License-Identifier: Apache-2.0
-
-'use strict';
-
-const fs = require('fs');
-const childProcess = require('child_process');
-
-const a = [];
-const b = [];
-
-fs.readdirSync('./images')
- .filter((file) => file.endsWith('.jpg'))
- .forEach((file) => {
- // Extract one pixel, avoiding first DCT block, and return value of A and B channels
- const command = `convert ./images/${file}[1x1+8+8] -colorspace lab -format "%[fx:u.g] %[fx:u.b]" info:`;
- const result = childProcess.execSync(command, { encoding: 'utf8' });
- const ab = result.split(' ');
- a.push(ab[0]);
- b.push(ab[1]);
- });
-
-a.sort((v1, v2) => v1 - v2);
-b.sort((v1, v2) => v1 - v2);
-
-// Convert from 0..1 to -128..128
-const convert = function (v) {
- return Math.round(256 * (v - 0.5));
-};
-
-const threshold = Math.round(a.length / 100);
-console.log(`Trimming lowest/highest ${threshold} for 98th percentile`);
-
-// Ignore ~2% outliers
-console.log(`a ${convert(a[threshold])} - ${convert(a[a.length - threshold])}`);
-console.log(`b ${convert(b[threshold])} - ${convert(b[b.length - threshold])}`);
diff --git a/test/saliency/report.html b/test/saliency/report.html
deleted file mode 100644
index 792d2737..00000000
--- a/test/saliency/report.html
+++ /dev/null
@@ -1,25 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
diff --git a/test/saliency/report.js b/test/saliency/report.js
deleted file mode 100644
index 66534675..00000000
--- a/test/saliency/report.js
+++ /dev/null
@@ -1,82 +0,0 @@
-// Copyright 2013 Lovell Fuller and others.
-// SPDX-License-Identifier: Apache-2.0
-
-'use strict';
-
-const os = require('os');
-const fs = require('fs');
-const path = require('path');
-const async = require('async');
-const sharp = require('../../');
-
-const crops = {
- entropy: sharp.strategy.entropy,
- attention: sharp.strategy.attention
-};
-const concurrency = os.cpus().length;
-
-const scores = {};
-
-const incrementScore = function (accuracy, crop) {
- if (typeof scores[accuracy] === 'undefined') {
- scores[accuracy] = {};
- }
- if (typeof scores[accuracy][crop] === 'undefined') {
- scores[accuracy][crop] = 0;
- }
- scores[accuracy][crop]++;
-};
-
-const userData = require('./userData.json');
-const files = Object.keys(userData);
-
-async.eachLimit(files, concurrency, function (file, done) {
- const filename = path.join(__dirname, 'Image', file);
- const salientWidth = userData[file].right - userData[file].left;
- const salientHeight = userData[file].bottom - userData[file].top;
- sharp(filename).metadata(function (err, metadata) {
- if (err) console.log(err);
- const marginWidth = metadata.width - salientWidth;
- const marginHeight = metadata.height - salientHeight;
- async.each(Object.keys(crops), function (crop, done) {
- async.parallel([
- // Left edge accuracy
- function (done) {
- if (marginWidth) {
- sharp(filename).resize(salientWidth, metadata.height).crop(crops[crop]).toBuffer(function (err, data, info) {
- const delta = Math.abs(userData[file].left + info.cropOffsetLeft);
- const accuracy = Math.round(marginWidth / (marginWidth + delta) * 100);
- incrementScore(accuracy, crop);
- done(err);
- });
- } else {
- done();
- }
- },
- // Top edge accuracy
- function (done) {
- if (marginHeight) {
- sharp(filename).resize(metadata.width, salientHeight).crop(crops[crop]).toBuffer(function (err, data, info) {
- const delta = Math.abs(userData[file].top + info.cropOffsetTop);
- const accuracy = Math.round(marginHeight / (marginHeight + delta) * 100);
- incrementScore(accuracy, crop);
- done(err);
- });
- } else {
- done();
- }
- }
- ], done);
- }, done);
- });
-}, function () {
- const report = [];
- Object.keys(scores).forEach(function (accuracy) {
- report.push(
- Object.assign({
- accuracy: Number(accuracy)
- }, scores[accuracy])
- );
- });
- fs.writeFileSync('report.json', JSON.stringify(report, null, 2));
-});
diff --git a/test/saliency/userData.js b/test/saliency/userData.js
deleted file mode 100644
index 6284ce61..00000000
--- a/test/saliency/userData.js
+++ /dev/null
@@ -1,74 +0,0 @@
-// Copyright 2013 Lovell Fuller and others.
-// SPDX-License-Identifier: Apache-2.0
-
-'use strict';
-
-const fs = require('fs');
-const path = require('path');
-
-const userDataDir = 'UserData';
-
-const images = {};
-
-const median = function (values) {
- values.sort(function (a, b) {
- return a - b;
- });
- const half = Math.floor(values.length / 2);
- if (values.length % 2) {
- return values[half];
- } else {
- return Math.floor((values[half - 1] + values[half]) / 2);
- }
-};
-
-// List of files
-fs.readdirSync(userDataDir).forEach(function (file) {
- // Contents of file
- const lines = fs.readFileSync(path.join(userDataDir, file), { encoding: 'utf-8' }).split(/\r\n/);
- // First line = number of entries
- const entries = parseInt(lines[0], 10);
- // Verify number of entries
- if (entries !== 500) {
- throw new Error('Expecting 500 images in ' + file + ', found ' + entries);
- }
- // Keep track of which line we're on
- let linePos = 2;
- for (let i = 0; i < entries; i++) {
- // Get data for current image
- const filename = lines[linePos].replace(/\\/, path.sep);
- linePos = linePos + 2;
- const regions = lines[linePos].split('; ');
- linePos = linePos + 2;
- // Parse human-labelled regions for min/max coords
- const lefts = [];
- const tops = [];
- const rights = [];
- const bottoms = [];
- regions.forEach(function (region) {
- if (region.indexOf(' ') !== -1) {
- const coords = region.split(' ');
- lefts.push(parseInt(coords[0], 10));
- tops.push(parseInt(coords[1], 10));
- rights.push(parseInt(coords[2], 10));
- bottoms.push(parseInt(coords[3], 10));
- }
- });
- // Add image
- images[filename] = {
- left: median(lefts),
- top: median(tops),
- right: median(rights),
- bottom: median(bottoms)
- };
- }
-});
-
-// Verify number of images found
-const imageCount = Object.keys(images).length;
-if (imageCount === 5000) {
- // Write output
- fs.writeFileSync('userData.json', JSON.stringify(images, null, 2));
-} else {
- throw new Error('Expecting 5000 images, found ' + imageCount);
-}