update tfjs-core to latest

60801128 · vincent · 3a314e8d · 60801128 · 60801128 · 60801128
Commit 60801128 authored Sep 13, 2019 by vincent
31 changed files
--- a/jasmine-node.js
+++ b/jasmine-node.js
-
 let spec_files = ['**/*.test.ts'].concat(
  process.env.EXCLUDE_UNCOMPRESSED
    ? ['!**/*.uncompressed.test.ts']

--- a/karma.conf.js
+++ b/karma.conf.js
@@ -38,6 +38,7 @@ exclude = exclude.concat(

 // exclude nodejs tests
 exclude = exclude.concat(['**/*.node.test.ts'])
+exclude = exclude.concat(['test/env.node.ts'])


 module.exports = function(config) {

--- a/package-lock.json
+++ b/package-lock.json
@@ -5,18 +5,18 @@
  "requires": true,
  "dependencies": {
    "@babel/code-frame": {
-      "version": "7.0.0",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.0.0.tgz",
-      "integrity": "sha512-OfC2uemaknXr87bdLUkWog7nYuliM9Ij5HUcajsVcMCpQrcLmtxRbVFTIqmcSkSeYRBFBRxs2FiUqFJDLdiebA==",
+      "version": "7.5.5",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.5.5.tgz",
+      "integrity": "sha512-27d4lZoomVyo51VegxI20xZPuSHusqbQag/ztrBC7wegWoQ1nLREPVSKSW8byhTlzTKyNE4ifaTA6lCp7JjpFw==",
      "dev": true,
      "requires": {
        "@babel/highlight": "^7.0.0"
      }
    },
    "@babel/highlight": {
-      "version": "7.0.0",
-      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.0.0.tgz",
-      "integrity": "sha512-UFMC4ZeFC48Tpvj7C8UgLvtkaUuovQX+5xNWrsIoMG8o2z+XFKjKaN9iVmS84dPwVN00W4wPmqvYoZF3EGAsfw==",
+      "version": "7.5.0",
+      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.5.0.tgz",
+      "integrity": "sha512-7dV4eu9gBxoM0dAnj/BCFDW9LFU0zvTrkq0ugM7pnHEgguOEeOz1so2ZghEdzviYzQEED0r4EAgpsBChKy1TRQ==",
      "dev": true,
      "requires": {
        "chalk": "^2.0.0",
@@ -25,48 +25,56 @@
      }
    },
    "@tensorflow/tfjs": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-1.2.2.tgz",
-      "integrity": "sha512-HfhSzL2eTWhlT0r/A5wmo+u3bHe+an16p5wsnFH3ujn21fQ8QtGpSfDHQZjWx1kVFaQnV6KBG+17MOrRHoHlLA==",
+      "version": "1.2.9",
+      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-1.2.9.tgz",
+      "integrity": "sha512-9UAQnSp638FyM5eedYEM+j2R7VcNajiFmkeT5EXtf7YIurmMFNEm1sbajKJx7/ckz31YcYrVoUPc/iLhhDQl2A==",
      "dev": true,
      "requires": {
-        "@tensorflow/tfjs-converter": "1.2.2",
-        "@tensorflow/tfjs-core": "1.2.2",
-        "@tensorflow/tfjs-data": "1.2.2",
-        "@tensorflow/tfjs-layers": "1.2.2"
+        "@tensorflow/tfjs-converter": "1.2.9",
+        "@tensorflow/tfjs-core": "1.2.9",
+        "@tensorflow/tfjs-data": "1.2.9",
+        "@tensorflow/tfjs-layers": "1.2.9"
+      },
+      "dependencies": {
+        "@tensorflow/tfjs-core": {
+          "version": "1.2.9",
+          "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-core/-/tfjs-core-1.2.9.tgz",
+          "integrity": "sha512-s0hHZSx6rGTlkkB8u8gs5n7sIPv1GXDNHmISRy+kqGzmlpkfI2kr6WXqOWQy6wFgjzopRD8cJQjBZ9USPZnYTQ==",
+          "dev": true,
+          "requires": {
+            "@types/offscreencanvas": "~2019.3.0",
+            "@types/seedrandom": "2.4.27",
+            "@types/webgl-ext": "0.0.30",
+            "@types/webgl2": "0.0.4",
+            "node-fetch": "~2.1.2",
+            "seedrandom": "2.4.3"
+          }
+        }
      }
    },
    "@tensorflow/tfjs-converter": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-converter/-/tfjs-converter-1.2.2.tgz",
-      "integrity": "sha512-NM2NcPRHpCNeJdBxHcYpmW9ZHTQ2lJFJgmgGpQ8CxSC9CtQB05bFONs3SKcwMNDE/69QBRVom5DYqLCVUg+A+g==",
+      "version": "1.2.9",
+      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-converter/-/tfjs-converter-1.2.9.tgz",
+      "integrity": "sha512-OKmiuZicIgadT3Bv9BvM+oom7wRz9eC5rTglQnuv7VN9H0syFVuhf5oD1Ff70tGDhJjJgL+cPz01fZRxTXjRWA==",
      "dev": true
    },
    "@tensorflow/tfjs-core": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-core/-/tfjs-core-1.2.2.tgz",
-      "integrity": "sha512-2hCHMKjh3UNpLEjbAEaurrTGJyj/KpLtMSAraWgHA1vGY0kmk50BBSbgCDmXWUVm7lyh/SkCq4/GrGDZktEs3g==",
+      "version": "1.2.9",
+      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-core/-/tfjs-core-1.2.9.tgz",
+      "integrity": "sha512-s0hHZSx6rGTlkkB8u8gs5n7sIPv1GXDNHmISRy+kqGzmlpkfI2kr6WXqOWQy6wFgjzopRD8cJQjBZ9USPZnYTQ==",
      "requires": {
        "@types/offscreencanvas": "~2019.3.0",
        "@types/seedrandom": "2.4.27",
        "@types/webgl-ext": "0.0.30",
        "@types/webgl2": "0.0.4",
        "node-fetch": "~2.1.2",
-        "rollup-plugin-visualizer": "~1.1.1",
        "seedrandom": "2.4.3"
-      },
-      "dependencies": {
-        "node-fetch": {
-          "version": "2.1.2",
-          "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.1.2.tgz",
-          "integrity": "sha1-q4hOjn5X44qUR1POxwb3iNF2i7U="
-        }
      }
    },
    "@tensorflow/tfjs-data": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-data/-/tfjs-data-1.2.2.tgz",
-      "integrity": "sha512-oHGBoGdnCl2RyouLKplQqo+iil0iJgPbi/aoHizhpO77UBuJXlKMblH8w5GbxVAw3hKxWlqzYpxPo6rVRgehNA==",
+      "version": "1.2.9",
+      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-data/-/tfjs-data-1.2.9.tgz",
+      "integrity": "sha512-Ti9Cj3pte9butuEsK5OPq0Lcqdi4wVUdtQXm0o7iYOZ0umseRzfbIb6zbdqucc2MQzOMTnRoxN+FL7LZmncsHg==",
      "dev": true,
      "requires": {
        "@types/node-fetch": "^2.1.2",
@@ -74,24 +82,44 @@
      }
    },
    "@tensorflow/tfjs-layers": {
-      "version": "1.2.2",
-      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-layers/-/tfjs-layers-1.2.2.tgz",
-      "integrity": "sha512-yzWZaZrCVpEyTkSrzMe4OOP4aGUfaaROE/zR9fPsPGGF8wLlbLNZUJjeYUmjy3G3pXGaM0mQUbLR5Vd707CVtQ==",
+      "version": "1.2.9",
+      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-layers/-/tfjs-layers-1.2.9.tgz",
+      "integrity": "sha512-OlXYaIb1rCk5dYmpaNsPEkO7R+T0oxfS3vQGIztNJB+YxrN8mwCu3hqgpbdKhAITiP+jxO0o+7bny8MsOCkOSQ==",
      "dev": true
    },
    "@tensorflow/tfjs-node": {
-      "version": "1.2.3",
-      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-node/-/tfjs-node-1.2.3.tgz",
-      "integrity": "sha512-6/V3JfoxnvUJhZle8+7V0ln7KjUIJOlDCk43EBQg+XoGudvp3L1x0RXcfCQ1nXFIlZVYixNJYd3XTIOHZBECSA==",
+      "version": "1.2.9",
+      "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-node/-/tfjs-node-1.2.9.tgz",
+      "integrity": "sha512-IGD4plBGy+2rQpYiI2LI/RC0nzyLKunJ2cPIx4etJ+V6n40mvEDOVXvUZCz/a72gKUKNPfx5uSsvImfRikWNjw==",
      "dev": true,
      "requires": {
-        "@tensorflow/tfjs": "~1.2.2",
+        "@tensorflow/tfjs": "1.2.9",
        "adm-zip": "^0.4.11",
-        "bindings": "~1.3.0",
        "https-proxy-agent": "^2.2.1",
+        "node-pre-gyp": "0.13.0",
        "progress": "^2.0.0",
        "rimraf": "^2.6.2",
        "tar": "^4.4.6"
+      },
+      "dependencies": {
+        "node-pre-gyp": {
+          "version": "0.13.0",
+          "resolved": "https://registry.npmjs.org/node-pre-gyp/-/node-pre-gyp-0.13.0.tgz",
+          "integrity": "sha512-Md1D3xnEne8b/HGVQkZZwV27WUi1ZRuZBij24TNaZwUPU3ZAFtvT6xxJGaUVillfmMKnn5oD1HoGsp2Ftik7SQ==",
+          "dev": true,
+          "requires": {
+            "detect-libc": "^1.0.2",
+            "mkdirp": "^0.5.1",
+            "needle": "^2.2.1",
+            "nopt": "^4.0.1",
+            "npm-packlist": "^1.1.6",
+            "npmlog": "^4.0.2",
+            "rc": "^1.2.7",
+            "rimraf": "^2.6.1",
+            "semver": "^5.3.0",
+            "tar": "^4"
+          }
+        }
      }
    },
    "@types/estree": {
@@ -101,21 +129,21 @@
      "dev": true
    },
    "@types/jasmine": {
-      "version": "3.3.13",
-      "resolved": "https://registry.npmjs.org/@types/jasmine/-/jasmine-3.3.13.tgz",
-      "integrity": "sha512-iczmLoIiVymaD1TIr2UctxjFkNEslVE/QtNAUmpDsD71cZfZBAsPCUv1Y+8AwsfA8bLx2ccr7d95T9w/UAirlQ==",
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/@types/jasmine/-/jasmine-3.4.0.tgz",
+      "integrity": "sha512-6pUnBg6DuSB55xnxJ5+gW9JOkFrPsXkYAuqqEE8oyrpgDiPQ+TZ+1Zt4S+CHcRJcxyNYXeIXG4vHSzdF6y9Uvw==",
      "dev": true
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-      "resolved": "https://registry.npmjs.org/@types/node/-/node-12.0.10.tgz",
-      "integrity": "sha512-LcsGbPomWsad6wmMNv7nBLw7YYYyfdYcz6xryKYQhx89c3XXan+8Q6AJ43G5XDIaklaVkK3mE4fCb0SBvMiPSQ==",
+      "version": "12.7.5",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-12.7.5.tgz",
+      "integrity": "sha512-9fq4jZVhPNW8r+UYKnxF1e2HkDWOWKM5bC2/7c9wPV835I0aOrVbS/Hw/pWPk2uKrNXQqg9Z959Kz+IYDd5p3w==",
      "dev": true
    },
    "@types/node-fetch": {
-      "version": "2.3.7",
-      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.3.7.tgz",
-      "integrity": "sha512-+bKtuxhj/TYSSP1r4CZhfmyA0vm/aDRQNo7vbAgf6/cZajn0SAniGGST07yvI4Q+q169WTa2/x9gEHfJrkcALw==",
+      "version": "2.5.0",
+      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.5.0.tgz",
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      "dev": true,
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@@ -167,15 +195,15 @@
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+      "version": "6.3.0",
+      "resolved": "https://registry.npmjs.org/acorn/-/acorn-6.3.0.tgz",
+      "integrity": "sha512-/czfa8BwS88b9gWQVhc8eknunSA2DoJpJyTQkhheIf5E48u1N0R4q/YxxsAeqRrmK9TQ/uYfgLDfZo91UlANIA==",
      "dev": true
    },
    "acorn-walk": {
-      "version": "6.1.1",
-      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-6.1.1.tgz",
-      "integrity": "sha512-OtUw6JUTgxA2QoqqmrmQ7F2NYqiBPi/L2jqHyFtllhOUvXYQXf0Z1CYUinIfyT4bTCGmrA7gX9FvHA81uzCoVw==",
+      "version": "6.2.0",
+      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-6.2.0.tgz",
+      "integrity": "sha512-7evsyfH1cLOCdAzZAd43Cic04yKydNx0cF+7tiA19p1XnLLPU4dpCQOqpjqwokFe//vS0QqfqqjCS2JkiIs0cA==",
      "dev": true
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@@ -237,24 +265,13 @@
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+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.0.tgz",
+      "integrity": "sha512-Ozz7l4ixzI7Oxj2+cw+p0tVUt27BpaJ+1+q1TCeANWxHpvyn2+Un+YamBdfKu0uh8xLodGhoa1v7595NhKDAuA==",
      "dev": true,
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-        "micromatch": "^3.1.4",
-        "normalize-path": "^2.1.1"
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-          "integrity": "sha1-GrKLVW4Zg2Oowab35vogE3/mrtk=",
-          "dev": true,
-          "requires": {
-            "remove-trailing-separator": "^1.0.1"
-          }
-        }
+        "normalize-path": "^3.0.0",
+        "picomatch": "^2.0.4"
      }
    },
    "aproba": {
@@ -354,24 +371,18 @@
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    "async": {
-      "version": "2.6.2",
-      "resolved": "https://registry.npmjs.org/async/-/async-2.6.2.tgz",
-      "integrity": "sha512-H1qVYh1MYhEEFLsP97cVKqCGo7KfCyTt6uEWqsTBr9SO84oK9Uwbyd/yCW+6rKJLHksBNUVWZDAjfS+Ccx0Bbg==",
+      "version": "2.6.3",
+      "resolved": "https://registry.npmjs.org/async/-/async-2.6.3.tgz",
+      "integrity": "sha512-zflvls11DCy+dQWzTW2dzuilv8Z5X/pjfmZOWba6TNIVDm+2UDaJmXSOXlasHKfNBs8oo3M0aT50fDEWfKZjXg==",
      "dev": true,
      "requires": {
-        "lodash": "^4.17.11"
+        "lodash": "^4.17.14"
      }
    },
-    "async-each": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/async-each/-/async-each-1.0.3.tgz",
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-      "dev": true
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-      "integrity": "sha512-jp/uFnooOiO+L211eZOoSyzpOITMXx1rBITauYykG3BRYPu8h0UcxsPNB04RR5vo4Tyz3+ay17tR6JVf9qzYWg==",
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/async-limiter/-/async-limiter-1.0.1.tgz",
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@@ -460,9 +471,9 @@
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@@ -481,15 +492,9 @@
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@@ -794,23 +799,54 @@
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-        "inherits": "^2.0.3",
-        "is-binary-path": "^1.0.0",
-        "is-glob": "^4.0.0",
+        "anymatch": "^3.0.1",
+        "braces": "^3.0.2",
+        "fsevents": "^2.0.6",
+        "glob-parent": "^5.0.0",
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-        "readdirp": "^2.2.1",
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+      "integrity": "sha512-W+jrUHJr3DXKhrsS7NUVxn3zqMOFn0hL/Ei6v0anCIMoKC93TjcflTagwIHLW7SfMFfiQuktQyFVCFHGUE0+yg==",
      "dev": true,
      "requires": {
-        "commander": "~2.17.1",
+        "commander": "~2.20.0",
        "source-map": "~0.6.1"
      }
    },
@@ -5457,12 +4971,6 @@
        }
      }
    },
-    "upath": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/upath/-/upath-1.1.2.tgz",
-      "integrity": "sha512-kXpym8nmDmlCBr7nKdIx8P2jNBa+pBpIUFRnKJ4dr8htyYGJFokkr2ZvERRtUN+9SY+JqXouNgUPtv6JQva/2Q==",
-      "dev": true
-    },
    "urix": {
      "version": "0.1.0",
      "resolved": "https://registry.npmjs.org/urix/-/urix-0.1.0.tgz",
@@ -5504,12 +5012,12 @@
      }
    },
    "util": {
-      "version": "0.12.0",
-      "resolved": "https://registry.npmjs.org/util/-/util-0.12.0.tgz",
-      "integrity": "sha512-pPSOFl7VLhZ7LO/SFABPraZEEurkJUWSMn3MuA/r3WQZc+Z1fqou2JqLSOZbCLl73EUIxuUVX8X4jkX2vfJeAA==",
+      "version": "0.12.1",
+      "resolved": "https://registry.npmjs.org/util/-/util-0.12.1.tgz",
+      "integrity": "sha512-MREAtYOp+GTt9/+kwf00IYoHZyjM8VU4aVrkzUlejyqaIjd2GztVl5V9hGXKlvBKE3gENn/FMfHE5v6hElXGcQ==",
      "dev": true,
      "requires": {
-        "inherits": "2.0.3",
+        "inherits": "^2.0.3",
        "is-arguments": "^1.0.4",
        "is-generator-function": "^1.0.7",
        "object.entries": "^1.1.0",
@@ -5607,9 +5115,9 @@
      "dev": true
    },
    "xtend": {
-      "version": "4.0.1",
-      "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.1.tgz",
-      "integrity": "sha1-pcbVMr5lbiPbgg77lDofBJmNY68=",
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
+      "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
      "dev": true
    },
    "yallist": {

--- a/package.json
+++ b/package.json
@@ -13,7 +13,7 @@
    "build": "rm -rf ./build && rm -rf ./dist && npm run rollup && npm run rollup-min && npm run tsc && npm run tsc-es6",
    "test": "karma start",
    "test-browser": "karma start --single-run",
-    "test-node": "ts-node node_modules/jasmine/bin/jasmine --config=jasmine-node.js",
+    "test-node": "ts-node -r ./test/env.node.ts node_modules/jasmine/bin/jasmine --config=jasmine-node.js",
    "test-all": "npm run test-browser-exclude-uncompressed && npm run test-node-exclude-uncompressed",
    "test-all-include-uncompressed": "npm run test-browser && npm run test-node",
    "test-facelandmarknets": "set UUT=faceLandmarkNet&& karma start",
@@ -26,7 +26,7 @@
    "test-cpu": "set BACKEND_CPU=true&& karma start",
    "test-exclude-uncompressed": "set EXCLUDE_UNCOMPRESSED=true&& karma start",
    "test-browser-exclude-uncompressed": "set EXCLUDE_UNCOMPRESSED=true&& karma start --single-run",
-    "test-node-exclude-uncompressed": "set EXCLUDE_UNCOMPRESSED=true&& ts-node node_modules/jasmine/bin/jasmine --config=jasmine-node.js",
+    "test-node-exclude-uncompressed": "set EXCLUDE_UNCOMPRESSED=true&& npm run test-node",
    "docs": "typedoc --options ./typedoc.config.js ./src"
  },
  "keywords": [
@@ -39,27 +39,27 @@
  "author": "justadudewhohacks",
  "license": "MIT",
  "dependencies": {
-    "@tensorflow/tfjs-core": "1.2.2",
-    "tfjs-image-recognition-base": "^0.6.1",
+    "@tensorflow/tfjs-core": "1.2.9",
+    "tfjs-image-recognition-base": "^0.6.2",
    "tslib": "^1.10.0"
  },
  "devDependencies": {
-    "@tensorflow/tfjs-node": "^1.2.3",
-    "@types/jasmine": "^3.3.13",
-    "@types/node": "^12.0.10",
+    "@tensorflow/tfjs-node": "^1.2.9",
+    "@types/jasmine": "^3.4.0",
+    "@types/node": "^12.7.5",
    "canvas": "2.5.0",
    "jasmine": "^3.4.0",
    "jasmine-core": "^3.4.0",
-    "karma": "^4.1.0",
+    "karma": "^4.3.0",
    "karma-chrome-launcher": "^2.2.0",
    "karma-jasmine": "^2.0.1",
-    "karma-typescript": "^4.1.0",
-    "rollup": "^1.16.2",
-    "rollup-plugin-commonjs": "^10.0.1",
-    "rollup-plugin-node-resolve": "^5.1.0",
+    "karma-typescript": "^4.1.1",
+    "rollup": "^1.21.2",
+    "rollup-plugin-commonjs": "^10.1.0",
+    "rollup-plugin-node-resolve": "^5.2.0",
    "rollup-plugin-typescript2": "^0.21.2",
-    "rollup-plugin-uglify": "^6.0.2",
+    "rollup-plugin-uglify": "^6.0.3",
    "ts-node": "^8.3.0",
-    "typescript": "^3.5.2"
+    "typescript": "^3.6.3"
  }
 }
--- a/test/Environment.ts
+++ b/test/Environment.ts
+import { NeuralNetwork } from 'tfjs-image-recognition-base';
+
+export type TestEnv = {
+  loadImage: (uri: string) => Promise<HTMLImageElement>
+  loadJson: <T> (uri: string) => Promise<T>
+  initNet: <TNet extends NeuralNetwork<any>>(
+    net: TNet,
+    uncompressedFilename?: string | boolean,
+    isUnusedModel?: boolean
+  ) => any
+}
\ No newline at end of file
--- a/test/env.node.ts
+++ b/test/env.node.ts
+import * as fs from 'fs';
+import * as path from 'path';
+import { NeuralNetwork } from 'tfjs-image-recognition-base';
+
+import { env } from '../src';
+import { TestEnv } from './Environment';
+
+require('@tensorflow/tfjs-node')
+const canvas = require('canvas')
+
+const { Canvas, Image, ImageData } = canvas
+env.monkeyPatch({ Canvas, Image, ImageData })
+
+async function loadImageNode(uri: string): Promise<HTMLImageElement> {
+  return canvas.loadImage(path.resolve(__dirname, '../', uri))
+}
+
+async function loadJsonNode<T>(uri: string): Promise<T> {
+  return JSON.parse(fs.readFileSync(path.resolve(__dirname, '../', uri)).toString())
+}
+
+export async function initNetNode<TNet extends NeuralNetwork<any>>(net: TNet) {
+  await net.loadFromDisk(path.resolve(__dirname, '../weights'))
+}
+
+const nodeTestEnv: TestEnv = {
+  loadImage: loadImageNode,
+  loadJson: loadJsonNode,
+  initNet: initNetNode
+}
+
+global['nodeTestEnv'] = nodeTestEnv
\ No newline at end of file
--- a/test/env.ts
+++ b/test/env.ts
 import * as tf from '@tensorflow/tfjs-core';
 import { fetchNetWeights, NeuralNetwork } from 'tfjs-image-recognition-base';

-import { env, fetchImage, fetchJson } from '../src';
-
-export let fs: any, path: any, canvas: any
+import { fetchImage, fetchJson } from '../src';
+import { TestEnv } from './Environment';

 jasmine.DEFAULT_TIMEOUT_INTERVAL = 60000

-if (env.isNodejs()) {
-  require('@tensorflow/tfjs-node')
-  fs = require('fs')
-  path = require('path')
-  canvas = require('canvas')
-
-  const { Canvas, Image, ImageData } = canvas
-  env.monkeyPatch({ Canvas, Image, ImageData })
-} else {
-  if ((window['__karma__'].config.jasmine.args as string[]).some(arg => arg === 'backend_cpu')) {
-    tf.setBackend('cpu')
-  }
+if (typeof window !== 'undefined' && window['__karma__'] && (window['__karma__'].config.jasmine.args as string[]).some(arg => arg === 'backend_cpu')) {
+  tf.setBackend('cpu')
 }

-export async function initNet<TNet extends NeuralNetwork<any>>(
+async function loadImageBrowser(uri: string): Promise<HTMLImageElement> {
+  return fetchImage(`base${uri.startsWith('/') ? '' : '/'}${uri}`)
+}
+
+async function loadJsonBrowser<T>(uri: string): Promise<T> {
+  return fetchJson<T>(`base${uri.startsWith('/') ? '' : '/'}${uri}`)
+}
+
+async function initNetBrowser<TNet extends NeuralNetwork<any>>(
  net: TNet,
  uncompressedFilename: string | boolean,
  isUnusedModel: boolean = false
 ) {
-  if (env.isNodejs()) {
-    await net.loadFromDisk(path.resolve(__dirname, '../weights'))
-  } else {
-    const url = uncompressedFilename
-      ? await fetchNetWeights(`base/weights_uncompressed/${uncompressedFilename}`)
-      : (isUnusedModel ? 'base/weights_unused' : 'base/weights')
-    await net.load(url)
-  }
+  const url = uncompressedFilename
+    ? await fetchNetWeights(`base/weights_uncompressed/${uncompressedFilename}`)
+    : (isUnusedModel ? 'base/weights_unused' : 'base/weights')
+  await net.load(url)
 }

-export async function loadImage(uri: string): Promise<HTMLImageElement> {
-  if (env.isNodejs()) {
-    return canvas.loadImage(path.resolve(__dirname, '../', uri))
-  }
-  return fetchImage(`base${uri.startsWith('/') ? '' : '/'}${uri}`)
+const browserTestEnv: TestEnv = {
+  loadImage: loadImageBrowser,
+  loadJson: loadJsonBrowser,
+  initNet: initNetBrowser
 }

-export async function loadJson<T>(uri: string): Promise<T> {
-  if (env.isNodejs()) {
-    return JSON.parse(fs.readFileSync(path.resolve(__dirname, '../', uri)).toString())
-  }
-  return fetchJson<T>(`base${uri.startsWith('/') ? '' : '/'}${uri}`)
+export function getTestEnv(): TestEnv {
+  return global['nodeTestEnv'] || browserTestEnv
 }

--- a/test/tests/ageGenderNet/ageGenderNet.test.ts
+++ b/test/tests/ageGenderNet/ageGenderNet.test.ts
@@ -2,7 +2,7 @@ import * as tf from '@tensorflow/tfjs-core';

 import { createCanvasFromMedia, NetInput, toNetInput } from '../../../src';
 import { AgeAndGenderPrediction } from '../../../src/ageGenderNet/types';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';
 import { describeWithBackend, describeWithNets, expectAllTensorsReleased } from '../../utils';

 function expectResultsAngry(result: AgeAndGenderPrediction) {
@@ -25,8 +25,8 @@ describeWithBackend('ageGenderNet', () => {
  let imgElSurprised: HTMLImageElement

  beforeAll(async () => {
-    imgElAngry = await loadImage('test/images/angry_cropped.jpg')
-    imgElSurprised = await loadImage('test/images/surprised_cropped.jpg')
+    imgElAngry = await getTestEnv().loadImage('test/images/angry_cropped.jpg')
+    imgElSurprised = await getTestEnv().loadImage('test/images/surprised_cropped.jpg')
  })

  describeWithNets('quantized weights', { withAgeGenderNet: { quantized: true } }, ({ ageGenderNet }) => {

--- a/test/tests/dom/extractFaceTensors.test.ts
+++ b/test/tests/dom/extractFaceTensors.test.ts
 import { createCanvasFromMedia, extractFaceTensors, Rect, tf } from '../../../src';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';
 import { describeWithBackend } from '../../utils';

 describeWithBackend('extractFaceTensors', () => {
@@ -7,7 +7,7 @@ describeWithBackend('extractFaceTensors', () => {
  let imgTensor: tf.Tensor3D

  beforeAll(async () => {
-    imgTensor = tf.browser.fromPixels(createCanvasFromMedia(await loadImage('test/images/face1.png')))
+    imgTensor = tf.browser.fromPixels(createCanvasFromMedia(await getTestEnv().loadImage('test/images/face1.png')))
  })

  describe('extracts tensors', () => {

--- a/test/tests/dom/extractFaces.test.ts
+++ b/test/tests/dom/extractFaces.test.ts
 import { createCanvasFromMedia, env, extractFaces, Rect } from '../../../src';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';

 describe('extractFaces', () => {

  let imgEl: HTMLImageElement, canvasEl: HTMLCanvasElement, Canvas: typeof HTMLCanvasElement

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/face1.png')
+    imgEl = await getTestEnv().loadImage('test/images/face1.png')
    canvasEl = createCanvasFromMedia(imgEl)
    Canvas = env.getEnv().Canvas
  })

--- a/test/tests/faceExpressionNet/faceExpressionNet.test.ts
+++ b/test/tests/faceExpressionNet/faceExpressionNet.test.ts
 import * as tf from '@tensorflow/tfjs-core';

 import { createCanvasFromMedia, NetInput, toNetInput } from '../../../src';
-import { loadImage } from '../../env';
-import { describeWithBackend, describeWithNets, expectAllTensorsReleased } from '../../utils';
 import { FaceExpressions } from '../../../src/faceExpressionNet/FaceExpressions';
+import { getTestEnv } from '../../env';
+import { describeWithBackend, describeWithNets, expectAllTensorsReleased } from '../../utils';

 describeWithBackend('faceExpressionNet', () => {

@@ -11,8 +11,8 @@ describeWithBackend('faceExpressionNet', () => {
  let imgElSurprised: HTMLImageElement

  beforeAll(async () => {
-    imgElAngry = await loadImage('test/images/angry_cropped.jpg')
-    imgElSurprised = await loadImage('test/images/surprised_cropped.jpg')
+    imgElAngry = await getTestEnv().loadImage('test/images/angry_cropped.jpg')
+    imgElSurprised = await getTestEnv().loadImage('test/images/surprised_cropped.jpg')
  })

  describeWithNets('quantized weights', { withFaceExpressionNet: { quantized: true } }, ({ faceExpressionNet }) => {

--- a/test/tests/faceLandmarkNet/faceLandmark68Net.test.ts
+++ b/test/tests/faceLandmarkNet/faceLandmark68Net.test.ts
@@ -2,7 +2,7 @@ import * as tf from '@tensorflow/tfjs-core';

 import { createCanvasFromMedia, IDimensions, isTensor3D, NetInput, Point, TMediaElement, toNetInput } from '../../../src';
 import { FaceLandmarks68 } from '../../../src/classes/FaceLandmarks68';
-import { loadImage, loadJson } from '../../env';
+import { getTestEnv } from '../../env';
 import {
  describeWithBackend,
  describeWithNets,
@@ -29,12 +29,12 @@ describeWithBackend('faceLandmark68Net', () => {
  let faceLandmarkPositionsRect: Point[]

  beforeAll(async () => {
-    imgEl1 = await loadImage('test/images/face1.png')
-    imgEl2 = await loadImage('test/images/face2.png')
-    imgElRect = await loadImage('test/images/face_rectangular.png')
-    faceLandmarkPositions1 = await loadJson<Point[]>('test/data/faceLandmarkPositions1.json')
-    faceLandmarkPositions2 = await loadJson<Point[]>('test/data/faceLandmarkPositions2.json')
-    faceLandmarkPositionsRect = await loadJson<Point[]>('test/data/faceLandmarkPositionsRect.json')
+    imgEl1 = await getTestEnv().loadImage('test/images/face1.png')
+    imgEl2 = await getTestEnv().loadImage('test/images/face2.png')
+    imgElRect = await getTestEnv().loadImage('test/images/face_rectangular.png')
+    faceLandmarkPositions1 = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositions1.json')
+    faceLandmarkPositions2 = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositions2.json')
+    faceLandmarkPositionsRect = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositionsRect.json')
  })

  describeWithNets('quantized weights', { withFaceLandmark68Net: { quantized: true } }, ({ faceLandmark68Net }) => {

--- a/test/tests/faceLandmarkNet/faceLandmark68Net.uncompressed.test.ts
+++ b/test/tests/faceLandmarkNet/faceLandmark68Net.uncompressed.test.ts
 import { Point } from '../../../src';
 import { FaceLandmarks68 } from '../../../src/classes/FaceLandmarks68';
-import { loadImage, loadJson } from '../../env';
+import { getTestEnv } from '../../env';
 import { describeWithBackend, describeWithNets, expectPointClose } from '../../utils';

 describeWithBackend('faceLandmark68Net, uncompressed', () => {
@@ -11,10 +11,10 @@ describeWithBackend('faceLandmark68Net, uncompressed', () => {
  let faceLandmarkPositionsRect: Point[]

  beforeAll(async () => {
-    imgEl1 = await loadImage('test/images/face1.png')
-    imgElRect = await loadImage('test/images/face_rectangular.png')
-    faceLandmarkPositions1 = await loadJson<Point[]>('test/data/faceLandmarkPositions1.json')
-    faceLandmarkPositionsRect = await loadJson<Point[]>('test/data/faceLandmarkPositionsRect.json')
+    imgEl1 = await getTestEnv().loadImage('test/images/face1.png')
+    imgElRect = await getTestEnv().loadImage('test/images/face_rectangular.png')
+    faceLandmarkPositions1 = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositions1.json')
+    faceLandmarkPositionsRect = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositionsRect.json')
  })

  describeWithNets('uncompressed weights', { withFaceLandmark68Net: { quantized: false } }, ({ faceLandmark68Net }) => {

--- a/test/tests/faceLandmarkNet/faceLandmark68TinyNet.test.ts
+++ b/test/tests/faceLandmarkNet/faceLandmark68TinyNet.test.ts
@@ -2,7 +2,7 @@ import * as tf from '@tensorflow/tfjs-core';

 import { createCanvasFromMedia, IDimensions, isTensor3D, NetInput, Point, TMediaElement, toNetInput } from '../../../src';
 import { FaceLandmarks68 } from '../../../src/classes/FaceLandmarks68';
-import { loadImage, loadJson } from '../../env';
+import { getTestEnv } from '../../env';
 import { describeWithBackend, describeWithNets, expectAllTensorsReleased, expectPointClose } from '../../utils';

 function getInputDims (input: tf.Tensor | TMediaElement): IDimensions {
@@ -23,12 +23,12 @@ describeWithBackend('faceLandmark68TinyNet', () => {
  let faceLandmarkPositionsRect: Point[]

  beforeAll(async () => {
-    imgEl1 = await loadImage('test/images/face1.png')
-    imgEl2 = await loadImage('test/images/face2.png')
-    imgElRect = await loadImage('test/images/face_rectangular.png')
-    faceLandmarkPositions1 = await loadJson<Point[]>('test/data/faceLandmarkPositions1Tiny.json')
-    faceLandmarkPositions2 = await loadJson<Point[]>('test/data/faceLandmarkPositions2Tiny.json')
-    faceLandmarkPositionsRect = await loadJson<Point[]>('test/data/faceLandmarkPositionsRectTiny.json')
+    imgEl1 = await getTestEnv().loadImage('test/images/face1.png')
+    imgEl2 = await getTestEnv().loadImage('test/images/face2.png')
+    imgElRect = await getTestEnv().loadImage('test/images/face_rectangular.png')
+    faceLandmarkPositions1 = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositions1Tiny.json')
+    faceLandmarkPositions2 = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositions2Tiny.json')
+    faceLandmarkPositionsRect = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositionsRectTiny.json')
  })

  describeWithNets('quantized weights', { withFaceLandmark68TinyNet: { quantized: true } }, ({ faceLandmark68TinyNet }) => {

--- a/test/tests/faceLandmarkNet/faceLandmark68TinyNet.uncompressed.test.ts
+++ b/test/tests/faceLandmarkNet/faceLandmark68TinyNet.uncompressed.test.ts
 import { Point } from '../../../src';
 import { FaceLandmarks68 } from '../../../src/classes/FaceLandmarks68';
-import { loadImage, loadJson } from '../../env';
-import { describeWithNets, expectPointClose, describeWithBackend } from '../../utils';
+import { getTestEnv } from '../../env';
+import { describeWithBackend, describeWithNets, expectPointClose } from '../../utils';

 describeWithBackend('faceLandmark68TinyNet, uncompressed', () => {

@@ -11,10 +11,10 @@ describeWithBackend('faceLandmark68TinyNet, uncompressed', () => {
  let faceLandmarkPositionsRect: Point[]

  beforeAll(async () => {
-    imgEl1 = await loadImage('test/images/face1.png')
-    imgElRect = await loadImage('test/images/face_rectangular.png')
-    faceLandmarkPositions1 = await loadJson<Point[]>('test/data/faceLandmarkPositions1Tiny.json')
-    faceLandmarkPositionsRect = await loadJson<Point[]>('test/data/faceLandmarkPositionsRectTiny.json')
+    imgEl1 = await getTestEnv().loadImage('test/images/face1.png')
+    imgElRect = await getTestEnv().loadImage('test/images/face_rectangular.png')
+    faceLandmarkPositions1 = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositions1Tiny.json')
+    faceLandmarkPositionsRect = await getTestEnv().loadJson<Point[]>('test/data/faceLandmarkPositionsRectTiny.json')
  })

  describeWithNets('uncompressed weights', { withFaceLandmark68TinyNet: { quantized: false } }, ({ faceLandmark68TinyNet }) => {

--- a/test/tests/faceRecognitionNet/faceRecognitionNet.test.ts
+++ b/test/tests/faceRecognitionNet/faceRecognitionNet.test.ts
@@ -2,7 +2,7 @@ import * as tf from '@tensorflow/tfjs-core';

 import { createCanvasFromMedia, NetInput, toNetInput } from '../../../src';
 import { euclideanDistance } from '../../../src/euclideanDistance';
-import { loadImage, loadJson } from '../../env';
+import { getTestEnv } from '../../env';
 import { describeWithBackend, describeWithNets, expectAllTensorsReleased } from '../../utils';

 describeWithBackend('faceRecognitionNet', () => {
@@ -15,12 +15,12 @@ describeWithBackend('faceRecognitionNet', () => {
  let faceDescriptorRect: number[]

  beforeAll(async () => {
-    imgEl1 = createCanvasFromMedia(await loadImage('test/images/face1.png'))
-    imgEl2 = createCanvasFromMedia(await loadImage('test/images/face2.png'))
-    imgElRect = createCanvasFromMedia(await loadImage('test/images/face_rectangular.png'))
-    faceDescriptor1 = await loadJson<number[]>('test/data/faceDescriptor1.json')
-    faceDescriptor2 = await loadJson<number[]>('test/data/faceDescriptor2.json')
-    faceDescriptorRect = await loadJson<number[]>('test/data/faceDescriptorRect.json')
+    imgEl1 = createCanvasFromMedia(await getTestEnv().loadImage('test/images/face1.png'))
+    imgEl2 = createCanvasFromMedia(await getTestEnv().loadImage('test/images/face2.png'))
+    imgElRect = createCanvasFromMedia(await getTestEnv().loadImage('test/images/face_rectangular.png'))
+    faceDescriptor1 = await getTestEnv().loadJson<number[]>('test/data/faceDescriptor1.json')
+    faceDescriptor2 = await getTestEnv().loadJson<number[]>('test/data/faceDescriptor2.json')
+    faceDescriptorRect = await getTestEnv().loadJson<number[]>('test/data/faceDescriptorRect.json')
  })

  describeWithNets('quantized weights', { withFaceRecognitionNet: { quantized: true } }, ({ faceRecognitionNet }) => {

--- a/test/tests/faceRecognitionNet/faceRecognitionNet.uncompressed.test.ts
+++ b/test/tests/faceRecognitionNet/faceRecognitionNet.uncompressed.test.ts
 import { createCanvasFromMedia } from '../../../src';
 import { euclideanDistance } from '../../../src/euclideanDistance';
-import { loadImage, loadJson } from '../../env';
+import { getTestEnv } from '../../env';
 import { describeWithBackend, describeWithNets } from '../../utils';

 describeWithBackend('faceRecognitionNet, uncompressed', () => {
@@ -11,10 +11,10 @@ describeWithBackend('faceRecognitionNet, uncompressed', () => {
  let faceDescriptorRect: number[]

  beforeAll(async () => {
-    imgEl1 = createCanvasFromMedia(await loadImage('test/images/face1.png'))
-    imgElRect = createCanvasFromMedia(await loadImage('test/images/face_rectangular.png'))
-    faceDescriptor1 = await loadJson<number[]>('test/data/faceDescriptor1.json')
-    faceDescriptorRect = await loadJson<number[]>('test/data/faceDescriptorRect.json')
+    imgEl1 = createCanvasFromMedia(await getTestEnv().loadImage('test/images/face1.png'))
+    imgElRect = createCanvasFromMedia(await getTestEnv().loadImage('test/images/face_rectangular.png'))
+    faceDescriptor1 = await getTestEnv().loadJson<number[]>('test/data/faceDescriptor1.json')
+    faceDescriptorRect = await getTestEnv().loadJson<number[]>('test/data/faceDescriptorRect.json')
  })

  describeWithNets('uncompressed weights', { withFaceRecognitionNet: { quantized: false } }, ({ faceRecognitionNet }) => {

--- a/test/tests/globalApi/detectAllFaces.test.ts
+++ b/test/tests/globalApi/detectAllFaces.test.ts
@@ -3,7 +3,7 @@ import { WithAge } from '../../../src/factories/WithAge';
 import { WithFaceDetection } from '../../../src/factories/WithFaceDetection';
 import { WithFaceExpressions } from '../../../src/factories/WithFaceExpressions';
 import { WithGender } from '../../../src/factories/WithGender';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';
 import { expectedTinyFaceDetectorBoxes } from '../../expectedTinyFaceDetectorBoxes';
 import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWithLandmarks';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
@@ -49,7 +49,7 @@ describeWithBackend('globalApi', () => {
  let expectedFullFaceDescriptions: ExpectedFullFaceDescription[]

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
    expectedFullFaceDescriptions = await assembleExpectedFullFaceDescriptions(expectedTinyFaceDetectorBoxes)
  })


--- a/test/tests/globalApi/detectSingleFace.test.ts
+++ b/test/tests/globalApi/detectSingleFace.test.ts
@@ -2,7 +2,7 @@ import * as faceapi from '../../../src';
 import { WithAge } from '../../../src/factories/WithAge';
 import { WithFaceExpressions } from '../../../src/factories/WithFaceExpressions';
 import { WithGender } from '../../../src/factories/WithGender';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';
 import { expectedTinyFaceDetectorBoxes } from '../../expectedTinyFaceDetectorBoxes';
 import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWithLandmarks';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
@@ -40,7 +40,7 @@ describeWithBackend('globalApi', () => {
  let expectedFullFaceDescriptions: ExpectedFullFaceDescription[]

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
    expectedFullFaceDescriptions = await assembleExpectedFullFaceDescriptions(expectedTinyFaceDetectorBoxes)
  })


--- a/test/tests/mtcnn/mtcnn.forward.test.ts
+++ b/test/tests/mtcnn/mtcnn.forward.test.ts
 import { IPoint } from '../../../src';
-import { loadImage, loadJson } from '../../env';
+import { getTestEnv } from '../../env';
 import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectMtcnnResults } from './expectMtcnnResults';

@@ -9,8 +9,8 @@ describeWithBackend('mtcnn.forward', () => {
  let expectedMtcnnLandmarks: IPoint[][]

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
-    expectedMtcnnLandmarks = await loadJson<IPoint[][]>('test/data/mtcnnFaceLandmarkPositions.json')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
+    expectedMtcnnLandmarks = await getTestEnv().loadJson<IPoint[][]>('test/data/mtcnnFaceLandmarkPositions.json')
  })

  // "quantized" actually means loaded from manifest.json, since there is no quantization applied to the mtcnn model

--- a/test/tests/mtcnn/mtcnn.forward.uncompressed.test.ts
+++ b/test/tests/mtcnn/mtcnn.forward.uncompressed.test.ts
 import { IPoint } from '../../../src';
-import { loadImage, loadJson } from '../../env';
+import { getTestEnv } from '../../env';
 import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectMtcnnResults } from './expectMtcnnResults';

@@ -9,8 +9,8 @@ describeWithBackend('mtcnn.forward', () => {
  let expectedMtcnnLandmarks: IPoint[][]

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
-    expectedMtcnnLandmarks = await loadJson<IPoint[][]>('test/data/mtcnnFaceLandmarkPositions.json')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
+    expectedMtcnnLandmarks = await getTestEnv().loadJson<IPoint[][]>('test/data/mtcnnFaceLandmarkPositions.json')
  })

  describeWithNets('uncompressed weights', { withMtcnn: { quantized: false } }, ({ mtcnn }) => {

--- a/test/tests/mtcnn/mtcnn.test.ts
+++ b/test/tests/mtcnn/mtcnn.test.ts
 import * as faceapi from '../../../src';
 import { MtcnnOptions } from '../../../src/mtcnn/MtcnnOptions';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';
 import { expectFaceDetections } from '../../expectFaceDetections';
 import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWithLandmarks';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
@@ -20,7 +20,7 @@ describeWithBackend('mtcnn', () => {
  const expectedScores = [1.0, 1.0, 1.0, 1.0, 0.99, 0.99]

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
    expectedFullFaceDescriptions = await assembleExpectedFullFaceDescriptions(expectedMtcnnBoxes)
  })


--- a/test/tests/ssdMobilenetv1/ssdMobilenetv1.locateFaces.test.ts
+++ b/test/tests/ssdMobilenetv1/ssdMobilenetv1.locateFaces.test.ts
 import * as faceapi from '../../../src';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';
 import { expectFaceDetections } from '../../expectFaceDetections';
 import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectedSsdBoxes } from './expectedBoxes';
@@ -9,7 +9,7 @@ describeWithBackend('ssdMobilenetv1.locateFaces', () => {
  let imgEl: HTMLImageElement

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
  })

  describeWithNets('quantized weights', { withSsdMobilenetv1: { quantized: true } }, ({ ssdMobilenetv1 }) => {

--- a/test/tests/ssdMobilenetv1/ssdMobilenetv1.locateFaces.uncompressed.test.ts
+++ b/test/tests/ssdMobilenetv1/ssdMobilenetv1.locateFaces.uncompressed.test.ts
 import * as faceapi from '../../../src';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';
 import { expectFaceDetections } from '../../expectFaceDetections';
 import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectedSsdBoxes } from './expectedBoxes';
@@ -9,7 +9,7 @@ describeWithBackend('ssdMobilenetv1.locateFaces, uncompressed', () => {
  let imgEl: HTMLImageElement

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
  })

  describeWithNets('uncompressed weights', { withSsdMobilenetv1: { quantized: false } }, ({ ssdMobilenetv1 }) => {

--- a/test/tests/ssdMobilenetv1/ssdMobilenetv1.node.test.ts
+++ b/test/tests/ssdMobilenetv1/ssdMobilenetv1.node.test.ts
@@ -5,8 +5,8 @@ import { expectFaceDetections } from '../../expectFaceDetections';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
 import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWithLandmarks';
 import { expectedSsdBoxes } from './expectedBoxes';
-import { loadImage } from '../../env';
 import * as tf from '@tensorflow/tfjs-core';
+import { getTestEnv } from '../../env';

 describe('ssdMobilenetv1 - node', () => {

@@ -15,7 +15,7 @@ describe('ssdMobilenetv1 - node', () => {
  const expectedScores = [0.54, 0.81, 0.97, 0.88, 0.84, 0.61]

  beforeAll(async () => {
-    imgTensor = tf.browser.fromPixels(createCanvasFromMedia(await loadImage('test/images/faces.jpg')))
+    imgTensor = tf.browser.fromPixels(createCanvasFromMedia(await getTestEnv().loadImage('test/images/faces.jpg')))
    expectedFullFaceDescriptions = await assembleExpectedFullFaceDescriptions(expectedSsdBoxes)
  })

@@ -88,7 +88,7 @@ describe('ssdMobilenetv1 - node', () => {
        maxLandmarksDelta: 4,
        maxDescriptorDelta: 0.2
      }
-    
+
      expect(!!result).toBeTruthy()
      expectFullFaceDescriptions(
        result ? [result] : [],

--- a/test/tests/ssdMobilenetv1/ssdMobilenetv1.test.ts
+++ b/test/tests/ssdMobilenetv1/ssdMobilenetv1.test.ts
@@ -5,7 +5,7 @@ import { expectFaceDetections } from '../../expectFaceDetections';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
 import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWithLandmarks';
 import { expectedSsdBoxes } from './expectedBoxes';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';

 describeWithBackend('ssdMobilenetv1', () => {

@@ -14,7 +14,7 @@ describeWithBackend('ssdMobilenetv1', () => {
  const expectedScores = [0.54, 0.81, 0.97, 0.88, 0.84, 0.61]

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
    expectedFullFaceDescriptions = await assembleExpectedFullFaceDescriptions(expectedSsdBoxes)
  })


--- a/test/tests/tinyFaceDetector/tinyFaceDetector.locateFaces.test.ts
+++ b/test/tests/tinyFaceDetector/tinyFaceDetector.locateFaces.test.ts
 import * as faceapi from '../../../src';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';
+import { expectedTinyFaceDetectorBoxes } from '../../expectedTinyFaceDetectorBoxes';
 import { expectFaceDetections } from '../../expectFaceDetections';
 import { describeWithBackend, describeWithNets } from '../../utils';
-import { expectedTinyFaceDetectorBoxes } from '../../expectedTinyFaceDetectorBoxes';

 describeWithBackend('tinyFaceDetector.locateFaces', () => {

  let imgEl: HTMLImageElement

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
  })

  describeWithNets('quantized weights', { withTinyFaceDetector: { quantized: true } }, ({ tinyFaceDetector }) => {

--- a/test/tests/tinyFaceDetector/tinyFaceDetector.node.test.ts
+++ b/test/tests/tinyFaceDetector/tinyFaceDetector.node.test.ts
@@ -5,8 +5,8 @@ import { expectFaceDetections } from '../../expectFaceDetections';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
 import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWithLandmarks';
 import { expectedTinyFaceDetectorBoxes } from '../../expectedTinyFaceDetectorBoxes';
-import { loadImage } from '../../env';
 import * as tf from '@tensorflow/tfjs-core';
+import { getTestEnv } from '../../env';

 describe('tinyFaceDetector - node', () => {

@@ -15,7 +15,7 @@ describe('tinyFaceDetector - node', () => {
  const expectedScores = [0.7, 0.82, 0.93, 0.86, 0.79, 0.84]

  beforeAll(async () => {
-    imgTensor = tf.browser.fromPixels(createCanvasFromMedia(await loadImage('test/images/faces.jpg')))
+    imgTensor = tf.browser.fromPixels(createCanvasFromMedia(await getTestEnv().loadImage('test/images/faces.jpg')))
    expectedFullFaceDescriptions = await assembleExpectedFullFaceDescriptions(expectedTinyFaceDetectorBoxes)
  })


--- a/test/tests/tinyFaceDetector/tinyFaceDetector.test.ts
+++ b/test/tests/tinyFaceDetector/tinyFaceDetector.test.ts
@@ -5,7 +5,7 @@ import { expectFaceDetections } from '../../expectFaceDetections';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
 import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWithLandmarks';
 import { expectedTinyFaceDetectorBoxes } from '../../expectedTinyFaceDetectorBoxes';
-import { loadImage } from '../../env';
+import { getTestEnv } from '../../env';

 describeWithBackend('tinyFaceDetector', () => {

@@ -20,7 +20,7 @@ describeWithBackend('tinyFaceDetector', () => {
  }

  beforeAll(async () => {
-    imgEl = await loadImage('test/images/faces.jpg')
+    imgEl = await getTestEnv().loadImage('test/images/faces.jpg')
    expectedFullFaceDescriptions = await assembleExpectedFullFaceDescriptions(expectedTinyFaceDetectorBoxes)
  })


--- a/test/utils.ts
+++ b/test/utils.ts
@@ -10,7 +10,7 @@ import { FaceLandmark68Net } from '../src/faceLandmarkNet/FaceLandmark68Net';
 import { FaceLandmark68TinyNet } from '../src/faceLandmarkNet/FaceLandmark68TinyNet';
 import { SsdMobilenetv1 } from '../src/ssdMobilenetv1/SsdMobilenetv1';
 import { TinyFaceDetector } from '../src/tinyFaceDetector/TinyFaceDetector';
-import { initNet, loadJson } from './env';
+import { getTestEnv } from './env';

 export function expectMaxDelta(val1: number, val2: number, maxDelta: number) {
  expect(Math.abs(val1 - val2)).toBeLessThanOrEqual(maxDelta)
@@ -93,8 +93,8 @@ export async function assembleExpectedFullFaceDescriptions(
  detections: IRect[],
  landmarksFile: string = 'facesFaceLandmarkPositions.json'
 ): Promise<ExpectedFullFaceDescription[]> {
-  const landmarks = await loadJson<any[]>(`test/data/${landmarksFile}`)
-  const descriptors = await loadJson<any[]>('test/data/facesFaceDescriptors.json')
+  const landmarks = await getTestEnv().loadJson<any[]>(`test/data/${landmarksFile}`)
+  const descriptors = await getTestEnv().loadJson<any[]>('test/data/facesFaceDescriptors.json')

  return detections.map((detection, i) => ({
    detection,
@@ -211,63 +211,63 @@ export function describeWithNets(
      } = options

      if (withSsdMobilenetv1 || withAllFacesSsdMobilenetv1) {
-        await initNet<SsdMobilenetv1>(
+        await getTestEnv().initNet<SsdMobilenetv1>(
          ssdMobilenetv1,
          !!withSsdMobilenetv1 && !withSsdMobilenetv1.quantized && 'ssd_mobilenetv1_model.weights'
        )
      }

      if (withTinyFaceDetector || withAllFacesTinyFaceDetector) {
-        await initNet<TinyFaceDetector>(
+        await getTestEnv().initNet<TinyFaceDetector>(
          tinyFaceDetector,
          !!withTinyFaceDetector && !withTinyFaceDetector.quantized && 'tiny_face_detector_model.weights'
        )
      }

      if (withFaceLandmark68Net || withAllFacesSsdMobilenetv1  || withAllFacesTinyFaceDetector|| withAllFacesMtcnn || withAllFacesTinyYolov2) {
-        await initNet<FaceLandmark68Net>(
+        await getTestEnv().initNet<FaceLandmark68Net>(
          faceLandmark68Net,
          !!withFaceLandmark68Net && !withFaceLandmark68Net.quantized && 'face_landmark_68_model.weights'
        )
      }

      if (withFaceLandmark68TinyNet) {
-        await initNet<FaceLandmark68TinyNet>(
+        await getTestEnv().initNet<FaceLandmark68TinyNet>(
          faceLandmark68TinyNet,
          !!withFaceLandmark68TinyNet && !withFaceLandmark68TinyNet.quantized && 'face_landmark_68_tiny_model.weights'
        )
      }

      if (withFaceRecognitionNet || withAllFacesSsdMobilenetv1  || withAllFacesTinyFaceDetector|| withAllFacesMtcnn || withAllFacesTinyYolov2) {
-        await initNet<FaceRecognitionNet>(
+        await getTestEnv().initNet<FaceRecognitionNet>(
          faceRecognitionNet,
          !!withFaceRecognitionNet && !withFaceRecognitionNet.quantized && 'face_recognition_model.weights'
        )
      }

      if (withMtcnn || withAllFacesMtcnn) {
-        await initNet<Mtcnn>(
+        await getTestEnv().initNet<Mtcnn>(
          mtcnn,
          !!withMtcnn && !withMtcnn.quantized && 'mtcnn_model.weights'
        )
      }

      if (withFaceExpressionNet) {
-        await initNet<FaceExpressionNet>(
+        await getTestEnv().initNet<FaceExpressionNet>(
          faceExpressionNet,
          !!withFaceExpressionNet && !withFaceExpressionNet.quantized && 'face_expression_model.weights'
        )
      }

      if (withAgeGenderNet) {
-        await initNet<AgeGenderNet>(
+        await getTestEnv().initNet<AgeGenderNet>(
          ageGenderNet,
          !!withAgeGenderNet && !withAgeGenderNet.quantized && 'age_gender_model.weights'
        )
      }

      if (withTinyYolov2 || withAllFacesTinyYolov2) {
-        await initNet<TinyYolov2>(
+        await getTestEnv().initNet<TinyYolov2>(
          tinyYolov2,
          !!withTinyYolov2 && !withTinyYolov2.quantized && 'tiny_yolov2_model.weights',
          true

--- a/tsconfig.json
+++ b/tsconfig.json
@@ -18,6 +18,7 @@
    "suppressImplicitAnyIndexErrors": true,
    "strictNullChecks": true,
    "importHelpers": true,
+    "skipLibCheck": true,
    "outDir": "build/commonjs",
    "module": "commonjs",
    "target": "es5",