diff --git a/package-lock.json b/package-lock.json
index 18ec494..62a3d34 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,15 +1,16 @@
{
"name": "alvinn",
- "version": "1.0.0",
+ "version": "0.2.1",
"lockfileVersion": 2,
"requires": true,
"packages": {
"": {
"name": "alvinn",
- "version": "1.0.0",
+ "version": "0.2.1",
"hasInstallScript": true,
"license": "UNLICENSED",
"dependencies": {
+ "@tensorflow/tfjs": "^4.17.0",
"dom7": "^4.0.6",
"framework7": "^8.3.0",
"framework7-icons": "^5.0.5",
@@ -3352,12 +3353,127 @@
"node": ">=6"
}
},
+ "node_modules/@tensorflow/tfjs": {
+ "version": "4.17.0",
+ "resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-4.17.0.tgz",
+ "integrity": "sha512-yXRBhpM3frlNA/YaPp6HNk9EfIi8han5RYeQA3R8OCa0Od+AfoG1PUmlxV8fE2wCorlGVyHsgpiJ6M9YZPB56w==",
+ "dependencies": {
+ "@tensorflow/tfjs-backend-cpu": "4.17.0",
+ "@tensorflow/tfjs-backend-webgl": "4.17.0",
+ "@tensorflow/tfjs-converter": "4.17.0",
+ "@tensorflow/tfjs-core": "4.17.0",
+ "@tensorflow/tfjs-data": "4.17.0",
+ "@tensorflow/tfjs-layers": "4.17.0",
+ "argparse": "^1.0.10",
+ "chalk": "^4.1.0",
+ "core-js": "3.29.1",
+ "regenerator-runtime": "^0.13.5",
+ "yargs": "^16.0.3"
+ },
+ "bin": {
+ "tfjs-custom-module": "dist/tools/custom_module/cli.js"
+ }
+ },
+ "node_modules/@tensorflow/tfjs-backend-cpu": {
+ "version": "4.17.0",
+ "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-backend-cpu/-/tfjs-backend-cpu-4.17.0.tgz",
+ "integrity": "sha512-2VSCHnX9qhYTjw9HiVwTBSnRVlntKXeBlK7aSVsmZfHGwWE2faErTtO7bWmqNqw0U7gyznJbVAjlow/p+0RNGw==",
+ "dependencies": {
+ "@types/seedrandom": "^2.4.28",
+ "seedrandom": "^3.0.5"
+ },
+ "engines": {
+ "yarn": ">= 1.3.2"
+ },
+ "peerDependencies": {
+ "@tensorflow/tfjs-core": "4.17.0"
+ }
+ },
+ "node_modules/@tensorflow/tfjs-backend-webgl": {
+ "version": "4.17.0",
+ "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-backend-webgl/-/tfjs-backend-webgl-4.17.0.tgz",
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+ "dependencies": {
+ "@tensorflow/tfjs-backend-cpu": "4.17.0",
+ "@types/offscreencanvas": "~2019.3.0",
+ "@types/seedrandom": "^2.4.28",
+ "seedrandom": "^3.0.5"
+ },
+ "engines": {
+ "yarn": ">= 1.3.2"
+ },
+ "peerDependencies": {
+ "@tensorflow/tfjs-core": "4.17.0"
+ }
+ },
+ "node_modules/@tensorflow/tfjs-converter": {
+ "version": "4.17.0",
+ "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-converter/-/tfjs-converter-4.17.0.tgz",
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+ "peerDependencies": {
+ "@tensorflow/tfjs-core": "4.17.0"
+ }
+ },
+ "node_modules/@tensorflow/tfjs-core": {
+ "version": "4.17.0",
+ "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-core/-/tfjs-core-4.17.0.tgz",
+ "integrity": "sha512-v9Q5430EnRpyhWNd9LVgXadciKvxLiq+sTrLKRowh26BHyAsams4tZIgX3lFKjB7b90p+FYifVMcqLTTHgjGpQ==",
+ "dependencies": {
+ "@types/long": "^4.0.1",
+ "@types/offscreencanvas": "~2019.7.0",
+ "@types/seedrandom": "^2.4.28",
+ "@webgpu/types": "0.1.38",
+ "long": "4.0.0",
+ "node-fetch": "~2.6.1",
+ "seedrandom": "^3.0.5"
+ },
+ "engines": {
+ "yarn": ">= 1.3.2"
+ }
+ },
+ "node_modules/@tensorflow/tfjs-core/node_modules/@types/offscreencanvas": {
+ "version": "2019.7.3",
+ "resolved": "https://registry.npmjs.org/@types/offscreencanvas/-/offscreencanvas-2019.7.3.tgz",
+ "integrity": "sha512-ieXiYmgSRXUDeOntE1InxjWyvEelZGP63M+cGuquuRLuIKKT1osnkXjxev9B7d1nXSug5vpunx+gNlbVxMlC9A=="
+ },
+ "node_modules/@tensorflow/tfjs-data": {
+ "version": "4.17.0",
+ "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-data/-/tfjs-data-4.17.0.tgz",
+ "integrity": "sha512-aPKrDFip+gXicWOFALeNT7KKQjRXFkHd/hNe/zs4mCFcIN00hy1PkZ6xkYsgrsdLDQMBSGeS4B4ZM0k5Cs88QA==",
+ "dependencies": {
+ "@types/node-fetch": "^2.1.2",
+ "node-fetch": "~2.6.1",
+ "string_decoder": "^1.3.0"
+ },
+ "peerDependencies": {
+ "@tensorflow/tfjs-core": "4.17.0",
+ "seedrandom": "^3.0.5"
+ }
+ },
+ "node_modules/@tensorflow/tfjs-layers": {
+ "version": "4.17.0",
+ "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-layers/-/tfjs-layers-4.17.0.tgz",
+ "integrity": "sha512-DEE0zRKvf3LJ0EcvG5XouJYOgFGWYAneZ0K1d23969z7LfSyqVmBdLC6BTwdLKuJk3ouUJIKXU1TcpFmjDuh7g==",
+ "peerDependencies": {
+ "@tensorflow/tfjs-core": "4.17.0"
+ }
+ },
+ "node_modules/@tensorflow/tfjs/node_modules/regenerator-runtime": {
+ "version": "0.13.11",
+ "resolved": "https://registry.npmjs.org/regenerator-runtime/-/regenerator-runtime-0.13.11.tgz",
+ "integrity": "sha512-kY1AZVr2Ra+t+piVaJ4gxaFaReZVH40AKNo7UCX6W+dEwBo/2oZJzqfuN1qLq1oL45o56cPaTXELwrTh8Fpggg=="
+ },
"node_modules/@types/estree": {
"version": "0.0.39",
"resolved": "https://registry.npmjs.org/@types/estree/-/estree-0.0.39.tgz",
"integrity": "sha512-EYNwp3bU+98cpU4lAWYYL7Zz+2gryWH1qbdDTidVd6hkiR6weksdbMadyXKXNPEkQFhXM+hVO9ZygomHXp+AIw==",
"dev": true
},
+ "node_modules/@types/long": {
+ "version": "4.0.2",
+ "resolved": "https://registry.npmjs.org/@types/long/-/long-4.0.2.tgz",
+ "integrity": "sha512-MqTGEo5bj5t157U6fA/BiDynNkn0YknVdh48CMPkTSpFTVmvao5UQmm7uEF6xBEo7qIMAlY/JSleYaE6VOdpaA=="
+ },
"node_modules/@types/minimist": {
"version": "1.2.5",
"resolved": "https://registry.npmjs.org/@types/minimist/-/minimist-1.2.5.tgz",
@@ -3368,17 +3484,30 @@
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"resolved": "https://registry.npmjs.org/@types/node/-/node-20.9.0.tgz",
"integrity": "sha512-nekiGu2NDb1BcVofVcEKMIwzlx4NjHlcjhoxxKBNLtz15Y1z7MYf549DFvkHSId02Ax6kGwWntIBPC3l/JZcmw==",
- "dev": true,
"dependencies": {
"undici-types": "~5.26.4"
}
},
+ "node_modules/@types/node-fetch": {
+ "version": "2.6.11",
+ "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.11.tgz",
+ "integrity": "sha512-24xFj9R5+rfQJLRyM56qh+wnVSYhyXC2tkoBndtY0U+vubqNsYXGjufB2nn8Q6gt0LrARwL6UBtMCSVCwl4B1g==",
+ "dependencies": {
+ "@types/node": "*",
+ "form-data": "^4.0.0"
+ }
+ },
"node_modules/@types/normalize-package-data": {
"version": "2.4.4",
"resolved": "https://registry.npmjs.org/@types/normalize-package-data/-/normalize-package-data-2.4.4.tgz",
"integrity": "sha512-37i+OaWTh9qeK4LSHPsyRC7NahnGotNuZvjLSgcPzblpHB3rrCJxAOgI5gCdKm7coonsaX1Of0ILiTcnZjbfxA==",
"dev": true
},
+ "node_modules/@types/offscreencanvas": {
+ "version": "2019.3.0",
+ "resolved": "https://registry.npmjs.org/@types/offscreencanvas/-/offscreencanvas-2019.3.0.tgz",
+ "integrity": "sha512-esIJx9bQg+QYF0ra8GnvfianIY8qWB0GBx54PK5Eps6m+xTj86KLavHv6qDhzKcu5UUOgNfJ2pWaIIV7TRUd9Q=="
+ },
"node_modules/@types/resolve": {
"version": "1.17.1",
"resolved": "https://registry.npmjs.org/@types/resolve/-/resolve-1.17.1.tgz",
@@ -3388,6 +3517,11 @@
"@types/node": "*"
}
},
+ "node_modules/@types/seedrandom": {
+ "version": "2.4.34",
+ "resolved": "https://registry.npmjs.org/@types/seedrandom/-/seedrandom-2.4.34.tgz",
+ "integrity": "sha512-ytDiArvrn/3Xk6/vtylys5tlY6eo7Ane0hvcx++TKo6RxQXuVfW0AF/oeWqAj9dN29SyhtawuXstgmPlwNcv/A=="
+ },
"node_modules/@types/trusted-types": {
"version": "2.0.6",
"resolved": "https://registry.npmjs.org/@types/trusted-types/-/trusted-types-2.0.6.tgz",
@@ -3509,6 +3643,11 @@
"resolved": "https://registry.npmjs.org/@vue/shared/-/shared-3.3.8.tgz",
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},
+ "node_modules/@webgpu/types": {
+ "version": "0.1.38",
+ "resolved": "https://registry.npmjs.org/@webgpu/types/-/types-0.1.38.tgz",
+ "integrity": "sha512-7LrhVKz2PRh+DD7+S+PVaFd5HxaWQvoMqBbsV9fNJO1pjUs1P8bM2vQVNfk+3URTqbuTI7gkXi0rfsN0IadoBA=="
+ },
"node_modules/acorn": {
"version": "8.11.2",
"resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.2.tgz",
@@ -3581,7 +3720,6 @@
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"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
"integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
- "dev": true,
"engines": {
"node": ">=8"
}
@@ -3590,7 +3728,6 @@
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"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
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- "dev": true,
"dependencies": {
"color-convert": "^2.0.1"
},
@@ -3614,6 +3751,14 @@
"node": ">= 8"
}
},
+ "node_modules/argparse": {
+ "version": "1.0.10",
+ "resolved": "https://registry.npmjs.org/argparse/-/argparse-1.0.10.tgz",
+ "integrity": "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg==",
+ "dependencies": {
+ "sprintf-js": "~1.0.2"
+ }
+ },
"node_modules/array-buffer-byte-length": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/array-buffer-byte-length/-/array-buffer-byte-length-1.0.0.tgz",
@@ -3666,6 +3811,11 @@
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"dev": true
},
+ "node_modules/asynckit": {
+ "version": "0.4.0",
+ "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
+ "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
+ },
"node_modules/at-least-node": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/at-least-node/-/at-least-node-1.0.0.tgz",
@@ -4071,7 +4221,6 @@
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"integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
- "dev": true,
"dependencies": {
"ansi-styles": "^4.1.0",
"supports-color": "^7.1.0"
@@ -4206,6 +4355,16 @@
"node": ">= 10"
}
},
+ "node_modules/cliui": {
+ "version": "7.0.4",
+ "resolved": "https://registry.npmjs.org/cliui/-/cliui-7.0.4.tgz",
+ "integrity": "sha512-OcRE68cOsVMXp1Yvonl/fzkQOyjLSu/8bhPDfQt0e0/Eb283TKP20Fs2MqoPsr9SwA595rRCA+QMzYc9nBP+JQ==",
+ "dependencies": {
+ "string-width": "^4.2.0",
+ "strip-ansi": "^6.0.0",
+ "wrap-ansi": "^7.0.0"
+ }
+ },
"node_modules/clone": {
"version": "1.0.4",
"resolved": "https://registry.npmjs.org/clone/-/clone-1.0.4.tgz",
@@ -4231,7 +4390,6 @@
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- "dev": true,
"dependencies": {
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},
@@ -4242,8 +4400,7 @@
"node_modules/color-name": {
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"resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
- "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
- "dev": true
+ "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
},
"node_modules/colorette": {
"version": "2.0.20",
@@ -4251,6 +4408,17 @@
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"dev": true
},
+ "node_modules/combined-stream": {
+ "version": "1.0.8",
+ "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
+ "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
+ "dependencies": {
+ "delayed-stream": "~1.0.0"
+ },
+ "engines": {
+ "node": ">= 0.8"
+ }
+ },
"node_modules/commander": {
"version": "8.3.0",
"resolved": "https://registry.npmjs.org/commander/-/commander-8.3.0.tgz",
@@ -4313,6 +4481,16 @@
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"dev": true
},
+ "node_modules/core-js": {
+ "version": "3.29.1",
+ "resolved": "https://registry.npmjs.org/core-js/-/core-js-3.29.1.tgz",
+ "integrity": "sha512-+jwgnhg6cQxKYIIjGtAHq2nwUOolo9eoFZ4sHfUH09BLXBgxnH4gA0zEd+t+BO2cNB8idaBtZFcFTRjQJRJmAw==",
+ "hasInstallScript": true,
+ "funding": {
+ "type": "opencollective",
+ "url": "https://opencollective.com/core-js"
+ }
+ },
"node_modules/core-js-compat": {
"version": "3.33.2",
"resolved": "https://registry.npmjs.org/core-js-compat/-/core-js-compat-3.33.2.tgz",
@@ -4690,6 +4868,14 @@
"url": "https://github.com/sponsors/ljharb"
}
},
+ "node_modules/delayed-stream": {
+ "version": "1.0.0",
+ "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
+ "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
+ "engines": {
+ "node": ">=0.4.0"
+ }
+ },
"node_modules/dir-glob": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/dir-glob/-/dir-glob-3.0.1.tgz",
@@ -4847,8 +5033,7 @@
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- "dev": true
+ "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
},
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@@ -5002,7 +5187,6 @@
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- "dev": true,
"engines": {
"node": ">=6"
}
@@ -5169,6 +5353,19 @@
"is-callable": "^1.1.3"
}
},
+ "node_modules/form-data": {
+ "version": "4.0.0",
+ "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
+ "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
+ "dependencies": {
+ "asynckit": "^0.4.0",
+ "combined-stream": "^1.0.8",
+ "mime-types": "^2.1.12"
+ },
+ "engines": {
+ "node": ">= 6"
+ }
+ },
"node_modules/fraction.js": {
"version": "4.3.7",
"resolved": "https://registry.npmjs.org/fraction.js/-/fraction.js-4.3.7.tgz",
@@ -5313,6 +5510,14 @@
"node": ">=6.9.0"
}
},
+ "node_modules/get-caller-file": {
+ "version": "2.0.5",
+ "resolved": "https://registry.npmjs.org/get-caller-file/-/get-caller-file-2.0.5.tgz",
+ "integrity": "sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg==",
+ "engines": {
+ "node": "6.* || 8.* || >= 10.*"
+ }
+ },
"node_modules/get-intrinsic": {
"version": "1.2.2",
"resolved": "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.2.2.tgz",
@@ -5514,7 +5719,6 @@
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- "dev": true,
"engines": {
"node": ">=8"
}
@@ -5899,7 +6103,6 @@
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- "dev": true,
"engines": {
"node": ">=8"
}
@@ -6371,6 +6574,11 @@
"url": "https://github.com/sponsors/sindresorhus"
}
},
+ "node_modules/long": {
+ "version": "4.0.0",
+ "resolved": "https://registry.npmjs.org/long/-/long-4.0.0.tgz",
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+ },
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@@ -9516,6 +9793,22 @@
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@@ -9543,12 +9836,37 @@
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@@ -11525,12 +11851,105 @@
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+ "requires": {}
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"dev": true
},
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+ "resolved": "https://registry.npmjs.org/@types/long/-/long-4.0.2.tgz",
+ "integrity": "sha512-MqTGEo5bj5t157U6fA/BiDynNkn0YknVdh48CMPkTSpFTVmvao5UQmm7uEF6xBEo7qIMAlY/JSleYaE6VOdpaA=="
+ },
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- "dev": true,
"requires": {
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}
},
+ "@types/node-fetch": {
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+ "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.11.tgz",
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+ "requires": {
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"dev": true
},
+ "@types/offscreencanvas": {
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+ "resolved": "https://registry.npmjs.org/@types/offscreencanvas/-/offscreencanvas-2019.3.0.tgz",
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"resolved": "https://registry.npmjs.org/@types/resolve/-/resolve-1.17.1.tgz",
@@ -11561,6 +11993,11 @@
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+ "integrity": "sha512-ytDiArvrn/3Xk6/vtylys5tlY6eo7Ane0hvcx++TKo6RxQXuVfW0AF/oeWqAj9dN29SyhtawuXstgmPlwNcv/A=="
+ },
"@types/trusted-types": {
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"resolved": "https://registry.npmjs.org/@types/trusted-types/-/trusted-types-2.0.6.tgz",
@@ -11673,6 +12110,11 @@
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},
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diff --git a/package.json b/package.json
index 720d791..7cb7852 100644
--- a/package.json
+++ b/package.json
@@ -23,6 +23,7 @@
"last 5 Firefox versions"
],
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+ "@tensorflow/tfjs": "^4.17.0",
"dom7": "^4.0.6",
"framework7": "^8.3.0",
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new file mode 100644
index 0000000..e1bc9ee
--- /dev/null
+++ b/src/models/thorax_tfwm/classes.json
@@ -0,0 +1,12 @@
+[
+ "Right lung",
+ "Diaphragm",
+ "Heart",
+ "Caudal vena cava",
+ "Cranial vena cava",
+ "Phrenic nerve",
+ "Trachea",
+ "Vagus nerve",
+ "Left Lung",
+ "Aorta"
+]
\ No newline at end of file
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new file mode 100644
index 0000000..c37d0b2
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"model/tf_conv/sequential/conv2d/BiasAdd/ReadVariableOp", "shape": [32], "dtype": "float32"}, {"name": "model/tf_conv_1/sequential_1/tf_pad_1/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf_conv_1/sequential_1/conv2d_1/Conv2D/ReadVariableOp", "shape": [3, 3, 32, 64], "dtype": "float32"}, {"name": "model/tf_conv_1/sequential_1/conv2d_1/BiasAdd/ReadVariableOp", "shape": [64], "dtype": "float32"}, {"name": "model/tfc3/tf_conv_3/conv2d_3/Conv2D/ReadVariableOp", "shape": [1, 1, 64, 32], "dtype": "float32"}, {"name": "model/tfc3/tf_conv_3/conv2d_3/BiasAdd/ReadVariableOp", "shape": [32], "dtype": "float32"}, {"name": "model/tfc3/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tfc3/tf_conv_4/conv2d_4/Conv2D/ReadVariableOp", "shape": [1, 1, 64, 64], "dtype": "float32"}, {"name": "model/tfc3/tf_conv_4/conv2d_4/BiasAdd/ReadVariableOp", "shape": [64], "dtype": "float32"}, {"name": "model/tf_conv_7/sequential_3/tf_pad_2/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf_conv_7/sequential_3/conv2d_7/Conv2D/ReadVariableOp", "shape": [3, 3, 64, 128], "dtype": "float32"}, {"name": "model/tf_conv_7/sequential_3/conv2d_7/BiasAdd/ReadVariableOp", "shape": [128], "dtype": "float32"}, {"name": "model/tfc3_1/tf_conv_9/conv2d_9/Conv2D/ReadVariableOp", "shape": [1, 1, 128, 64], "dtype": "float32"}, {"name": "model/tfc3_1/tf_conv_9/conv2d_9/BiasAdd/ReadVariableOp", "shape": [64], "dtype": "float32"}, {"name": "model/tfc3_1/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tfc3_1/tf_conv_10/conv2d_10/Conv2D/ReadVariableOp", "shape": [1, 1, 128, 128], "dtype": "float32"}, {"name": "model/tfc3_1/tf_conv_10/conv2d_10/BiasAdd/ReadVariableOp", "shape": [128], "dtype": "float32"}, {"name": "model/tf_conv_15/sequential_5/tf_pad_3/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf_conv_15/sequential_5/conv2d_15/Conv2D/ReadVariableOp", "shape": [3, 3, 128, 256], "dtype": "float32"}, {"name": "model/tf_conv_15/sequential_5/conv2d_15/BiasAdd/ReadVariableOp", "shape": [256], "dtype": "float32"}, {"name": "model/tfc3_2/tf_conv_17/conv2d_17/Conv2D/ReadVariableOp", "shape": [1, 1, 256, 128], "dtype": "float32"}, {"name": "model/tfc3_2/tf_conv_17/conv2d_17/BiasAdd/ReadVariableOp", "shape": [128], "dtype": "float32"}, {"name": "model/tfc3_2/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tfc3_2/tf_conv_18/conv2d_18/Conv2D/ReadVariableOp", "shape": [1, 1, 256, 256], "dtype": "float32"}, {"name": "model/tfc3_2/tf_conv_18/conv2d_18/BiasAdd/ReadVariableOp", "shape": [256], "dtype": "float32"}, {"name": "model/tf_conv_25/sequential_7/tf_pad_4/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf_conv_25/sequential_7/conv2d_25/Conv2D/ReadVariableOp", "shape": [3, 3, 256, 512], "dtype": "float32"}, {"name": "model/tf_conv_25/sequential_7/conv2d_25/BiasAdd/ReadVariableOp", "shape": [512], "dtype": "float32"}, {"name": "model/tfc3_3/tf_conv_27/conv2d_27/Conv2D/ReadVariableOp", "shape": [1, 1, 512, 256], "dtype": "float32"}, {"name": "model/tfc3_3/tf_conv_27/conv2d_27/BiasAdd/ReadVariableOp", "shape": [256], "dtype": "float32"}, {"name": "model/tfc3_3/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tfc3_3/tf_conv_28/conv2d_28/Conv2D/ReadVariableOp", "shape": [1, 1, 512, 512], "dtype": "float32"}, {"name": "model/tfc3_3/tf_conv_28/conv2d_28/BiasAdd/ReadVariableOp", "shape": [512], "dtype": "float32"}, {"name": "model/tfsppf/tf_conv_31/conv2d_31/Conv2D/ReadVariableOp", "shape": [1, 1, 512, 256], "dtype": "float32"}, {"name": "model/tfsppf/tf_conv_31/conv2d_31/BiasAdd/ReadVariableOp", "shape": [256], "dtype": "float32"}, {"name": "model/tfsppf/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tfsppf/tf_conv_32/conv2d_32/Conv2D/ReadVariableOp", "shape": [1, 1, 1024, 512], "dtype": "float32"}, {"name": "model/tfsppf/tf_conv_32/conv2d_32/BiasAdd/ReadVariableOp", "shape": [512], "dtype": "float32"}, {"name": "model/tf_conv_33/conv2d_33/Conv2D/ReadVariableOp", "shape": [1, 1, 512, 256], "dtype": "float32"}, {"name": "model/tf_conv_33/conv2d_33/BiasAdd/ReadVariableOp", "shape": [256], "dtype": "float32"}, {"name": "model/tf_concat_3/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tfc3_7/tf_conv_53/conv2d_53/Conv2D/ReadVariableOp", "shape": [1, 1, 512, 256], "dtype": "float32"}, {"name": "model/tfc3_7/tf_conv_53/conv2d_53/BiasAdd/ReadVariableOp", "shape": [256], "dtype": "float32"}, {"name": "model/tfc3_7/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tfc3_7/tf_conv_54/conv2d_54/Conv2D/ReadVariableOp", "shape": [1, 1, 512, 512], "dtype": "float32"}, {"name": "model/tfc3_7/tf_conv_54/conv2d_54/BiasAdd/ReadVariableOp", "shape": [512], "dtype": "float32"}, {"name": "model/tf_detect/tf_conv2d_2/conv2d_59/Conv2D/ReadVariableOp", "shape": [1, 1, 512, 45], "dtype": "float32"}, {"name": "model/tf_detect/tf_conv2d_2/conv2d_59/BiasAdd/ReadVariableOp", "shape": [45], "dtype": "float32"}, {"name": "model/tf_detect/Reshape_4/shape_1", "shape": [4], "dtype": "int32"}, {"name": "model/tf_detect/strided_slice_23/stack", "shape": [2], "dtype": "int32"}, {"name": "model/tf_detect/strided_slice_23/stack_1", "shape": [2], "dtype": "int32"}, {"name": "model/tf_detect/strided_slice_23/stack_2", "shape": [2], "dtype": "int32"}, {"name": "model/tf_detect/concat_2/axis", "shape": [], "dtype": "int32"}, {"name": "model/tf_detect/Reshape_5/shape_1", "shape": [3], "dtype": "int32"}, {"name": "model/tf_detect/concat_3/axis", "shape": [], "dtype": "int32"}, {"name": "model/tf.__operators__.getitem_2/strided_slice/stack", "shape": [3], "dtype": "int32"}, {"name": "model/tf.__operators__.getitem_2/strided_slice/stack_1", "shape": [3], "dtype": "int32"}, {"name": "model/tf.__operators__.getitem_2/strided_slice/stack_2", "shape": [3], "dtype": "int32"}, {"name": 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\ No newline at end of file
diff --git a/src/pages/detect.vue b/src/pages/detect.vue
index 51c4a6b..5627e5e 100644
--- a/src/pages/detect.vue
+++ b/src/pages/detect.vue
@@ -21,7 +21,7 @@
:style="chipGradient(result.confidence)"
/>
No results.
-
+
@@ -286,9 +286,12 @@
import SvgIcon from '../components/svg-icon.vue'
import submitMixin from './submit-mixin'
+ import detectMixin from './local-detect'
+
+ import thoraxClasses from '../models/thorax_tfwm/classes.json'
export default {
- mixins: [submitMixin],
+ mixins: [submitMixin, detectMixin],
props: {
f7route: Object,
},
@@ -302,6 +305,7 @@
resultData: {},
selectedChip: -1,
activeRegion: 4,
+ classesList: [],
imageLoaded: false,
imageView: null,
imageLoadMode: "environment",
@@ -314,7 +318,9 @@
serverSettings: {},
isCordova: !!window.cordova,
uploadUid: null,
- uploadDirty: false
+ uploadDirty: false,
+ modelLocation: '',
+ modelLoading: false
}
},
setup() {
@@ -325,6 +331,8 @@
case 'thorax':
this.activeRegion = 0
this.detectorName = 'thorax'
+ this.classesList = thoraxClasses
+ this.modelLocation = '../models/thorax_tfwm/model.json'
break;
case 'abdomen':
this.activeRegion = 1
@@ -364,6 +372,12 @@
}
xhr.send()
+ } else {
+ self.modelLoading = true
+ self.detectorLabels = self.classesList.map( l => { return {'name': l, 'detect': true} } )
+ self.loadModel(self.modelLocation).then(() => {
+ self.modelLoading = false
+ })
}
window.onresize = (e) => { this.selectChip('redraw') }
},
@@ -431,8 +445,11 @@
xhr.send(JSON.stringify(doodsData))
} else {
- //TODO
- f7.dialog.alert('Using built-in model')
+ this.localDetect(this.imageView).then(dets => {
+ self.detecting = false
+ self.resultData = dets
+ self.uploadDirty = true
+ })
}
},
remoteTimeout () {
@@ -526,7 +543,15 @@
}).then( () => {
const [imCanvas, _] = this.resetView()
imCanvas.style['background-image'] = `url(${this.imageView.src})`
- this.setData()
+ /******
+ * setTimeout is not a good solution,
+ * but it's the only way I can find to
+ * not cut off drawing of of the progress
+ * spinner
+ ******/
+ setTimeout(() => {
+ this.setData()
+ }, 250)
}).catch((e) => {
console.log(e.message)
f7.dialog.alert(`Error loading image: ${e.message}`)
diff --git a/src/pages/local-detect.js b/src/pages/local-detect.js
new file mode 100644
index 0000000..c6fd09e
--- /dev/null
+++ b/src/pages/local-detect.js
@@ -0,0 +1,48 @@
+import * as tf from '@tensorflow/tfjs'
+
+var model = null
+
+export default {
+ methods: {
+ async loadModel(weights) {
+ model = await tf.loadGraphModel(weights).then(graphModel => {
+ return graphModel
+ })
+ },
+ async localDetect(imageData) {
+ const [modelWidth, modelHeight] = model.inputs[0].shape.slice(1, 3);
+
+ const input = tf.tidy(() => {
+ return tf.image.resizeBilinear(tf.browser.fromPixels(imageData), [modelWidth, modelHeight]).div(255.0).expandDims(0)
+ })
+ var results = model.executeAsync(input).then(res => {
+ const [boxes, scores, classes, valid_detections] = res;
+ const boxes_data = boxes.dataSync();
+ const scores_data = scores.dataSync();
+ const classes_data = classes.dataSync();
+ const valid_detections_data = valid_detections.dataSync()[0];
+
+ tf.dispose(res)
+
+ var output = {
+ detections: []
+ }
+ for (var i =0; i < valid_detections_data; i++) {
+ var [dLeft, dTop, dRight, dBottom] = boxes_data.slice(i * 4, (i + 1) * 4);
+ output.detections.push({
+ "top": dTop,
+ "left": dLeft,
+ "bottom": dBottom,
+ "right": dRight,
+ "label": this.detectorLabels[classes_data[i]].name,
+ "confidence": scores_data[i] * 100
+ })
+ }
+
+ return output
+ })
+
+ return results
+ }
+ }
+}
\ No newline at end of file