Add router debugging keys

Signed-off-by: Justin Georgi <justin.georgi@gmail.com>

.gitea/workflows/dev-build.yaml

@@ -0,0 +1,34 @@
+name: Build Dev PWA
+run-name: ${{ gitea.actor }} is building new dev pwa version
+on:
+  push:
+    branches:
+      - main 
+
+jobs:
+  Build-PWA:
+    runs-on: ubuntu-22.04
+    steps:
+      - name: Check out repository code
+        uses: actions/checkout@v4
+      - name: Install node modules
+        run: npm install
+      - name: Add build number
+        run: sed -i 's/####/#${{ github.run_number }}/' ./src/js/store.js
+      - name: Build pwa
+        run: npm run build
+      - name: Replace previous dev pwa
+        env:
+          DEV_HOST: ${{ secrets.DEV_HOST }}
+          DEV_KEY: ${{ secrets.DEV_KEY }}
+          DEV_FP: ${{ secrets.DEV_FINGERPRINT }}
+        run: |
+          echo "$DEV_KEY" > ~/.ssh/id_rsa
+          chmod 600 ~/.ssh/id_rsa
+          echo "$DEV_FP" > ~/.ssh/known_hosts
+          chmod 600 ~/.ssh/known_hosts
+          ssh root@$DEV_HOST "rm -R /var/www/html/alvinn-dev/*"
+          echo "Old files removed"
+          scp -r ${{ gitea.workspace }}/www/* root@$DEV_HOST:/var/www/html/alvinn-dev
+          ssh root@$DEV_HOST "chown -R www-data:www-data /var/www/html/alvinn-dev/*"
+          echo "New files copied"

.gitignore

@@ -40,7 +40,8 @@ cordova/platforms/
 cordova/plugins/
 cordova/www/
 
-
-
 # Production build
 www/
+
+# VSCode settings
+.vscode/settings.json

README.md

@@ -1,24 +1,34 @@
 # ALVINN
 
-Anatomy Lab Visual Identification Neural Net (A.L.V.I.N.N) is a f7 based app for using a computer vision neural net model to identify anatomical structures in photographic imagery.
+Anatomy Lab Visual Identification Neural Net (A.L.V.I.N.N.) is a f7 based app for using a computer vision neural net model to identify anatomical structures in photographic imagery.
 
 ## Install
 * **Android:** Download the latest Android apk in [packages](https://gitea.azgeorgis.net/Georgi_Lab/ALVINN_f7/packages) and open the downloaded file to install.
 * **iOS:** To do
-* **Web app:** To do
+* **Web app:** Download the latest Web zip file in [packages](https://gitea.azgeorgis.net/Georgi_Lab/ALVINN_f7/packages) and extract the files to a folder location available via web access then visit that location in your web browser.
 * **Run from source:** Clone this repository and in the root directory run `npm install` followed by `npm start`.  For more information see [f7 info](f7_info.md).
 
 ## Quick Start
-1. From the main screen of the app, select the menu icon in the upper left corner and go to `Settings`.
-1. Make sure that `Use external server` option is selected and fill in address and port parameters to connect to a back end serving the ALVINN models (Doods2 is the default backend).
-1. Save the settings and return to the main screen.
-1. Select the region of the body you want to identify structures from.
-1. In the region page, click on the camera icon to take a new picture or load a picture from storage. When the picture load, any identifiable structures will be listed as tags below the image.
-1. Click on each tag to see the structure highlighted in the image.
+1. Select the region of the body you want to identify structures from. The regions are:
+    * Thorax and back
+    * Abdomen and pelvis
+    * Limbs
+    * Head and neck
+1. Load an image in one of the following ways:
+    * Click on the camera icon to take a new picture.
+      * ALVINN will highlight areas with potential structures as you aim the camera.
+      * Press Capture to use the current camera view.
+    * Click on the image file icon to load a picture from the device storage.
+    * If demo mode is turned on, you can click on the marked image icon to load an ALVINN sample image.
+1. When the picture is captured or loaded, any identifiable structures will be listed as tags below the image:
+    * Click on each tag to see the structure highlighted in the image or click on the image to see the tag for that structure (additional clicks to the same area will select overlapping structres).
+    * Tag color and proportion filled indicate ALVINN's level of confidence in the identification.
+    * An incorrect tag can be deleted by clicking on the tag's X button.
 
 ## Advanced Features
 ### Detection Parameters
-After an image has been loaded and structure detection has been performed, the detection parameters can be adjusted using the third detection menu button (eye).
+If there are potential structures that do not satisfy the current detection settings, a badge on the detection menu icon will indicate the number of un-displayed structures.
+Clicking on the detection menu icon will open a menu of tools to adjust the detection settings.
 This button will make three tools available:
 1. Confidence slider: You can use the slider to change the confidence threshold for identifying structures.
 The default threshold is 50% confidence.
@@ -28,4 +38,36 @@ The default threshold is 50% confidence.
 ### Submitting Images
 If all of the detection tags that are currently visible have been viewed, then the final button (cloud upload) on the detection menu will be enabled.
 This button will cause the image and the verified structures to be uploaded to the ALVINN project servers where that data will be available for further training of the neural net.
-If after the image has been uploaded, the available detection tags change, then the option to re-upload the image will be available if all the new tags have been viewed and verified.
+If after the image has been uploaded, the available detection tags change, then the option to re-upload the image will be available if all the new tags have been viewed and verified.
+
+## Configuration
+Configuring aspects of the hosted ALVINN PWA is done through the `conf.yaml` file in the `conf` folder.
+### Site settings
+The following site settings are avaible:
+| name | description | values | default |
+| --- | --- | --- | --- |
+| `agreeExpire` | number of months before users are shown the site agreement dialog again<br />set to 0 to display dialog on every reload | integer >= 0 | 3 |
+| `demo` | set to **true** to enable demo mode by default | boolean | false |
+| `regions` | array of regions names to enable | thorax, abdomen, limbs, head | [thorax, abdomen, limbs, head] |
+| `useExternal` | detemines the ability to use an external detection server:<br />**none** - external server cannot be configured<br />**optional** - external server can be configured in the app's settings page<br />**list** - external server can be selected in the app's settings page but only the configured server(s) may be selected<br />**required** - external server settings from conf file will be used by default and disable server options in the settings page | none, optional, list, required | **optional** |
+| `disableWorkers` | force app to use a single thread for detection computations instead of multi threading web workers | boolean | **optional** |
+| `external` | properties of the external server(s) ALVINN may connect to<br />This setting must be a single element array if **useExternal** is set to **required**.<br />This setting must be an array of one or more elements if **useExternal** is set to **list** | external server settings array | []|
+| `infoUrl` | root url for links to information about identified structures<br />Structure labels with spaces replaced by underscores will be appended to this value for full information links (*e.g.,* Abdominal_diapragm) | string | info link not shown |
+
+### External server settings
+ALVINN can use an external object detection server instead of the built in models; settings for that external server are configured here. These settings must be configured if **site - useExternal** is set to **list** or **required**.
+| name | description | default |
+| --- | --- | --- |
+| `name` | identifier for external server | *none* |
+| `address` | ip or url of external server | *none* |
+| `port` | port to access on external server | 9001 |
+
+The external server's response must be json with a `detections` key that contains an array of the detected structure labels, bounding box data, and confidence values.
+```
+{
+  "detections": [
+    {"top": 0.1, "left": 0.1, "bottom": 0.9, "right": 0.9, "label": "Aorta", "confidence": 90.0 }
+    ...
+  ],
+}
+```

build/build-cordova.js

@@ -17,6 +17,7 @@ const build = async () => {
     format: 'iife',
     name: 'MyApp',
     sourcemap: false,
+    inlineDynamicImports :true
   });
 
   // Remove old chunk files

cordova/config.xml

@@ -1,5 +1,5 @@
 <?xml version='1.0' encoding='utf-8'?>
-<widget id="edu.midwestern.alvinn" version="0.2.1" xmlns="http://www.w3.org/ns/widgets" xmlns:cdv="http://cordova.apache.org/ns/1.0" xmlns:android="http://schemas.android.com/apk/res/android">
+<widget id="edu.midwestern.alvinn" version="0.5.0-alpha" xmlns="http://www.w3.org/ns/widgets" xmlns:cdv="http://cordova.apache.org/ns/1.0" xmlns:android="http://schemas.android.com/apk/res/android">
     <name>ALVINN</name>
     <description>Anatomy Lab Visual Identification Neural Network.</description>
     <author email="jgeorg@midwestern.edu" href="https://midwestern.edu">

cordova/package-lock.json

@@ -1,20 +1,18 @@
 {
   "name": "edu.midwestern.alvinn",
-  "version": "0.1.0-b",
+  "version": "0.4.0",
   "lockfileVersion": 2,
   "requires": true,
   "packages": {
     "": {
       "name": "edu.midwestern.alvinn",
-      "version": "0.1.0-b",
+      "version": "0.4.0",
       "license": "Apache-2.0",
       "devDependencies": {
         "cordova-android": "^12.0.1",
         "cordova-browser": "^7.0.0",
         "cordova-ios": "^7.0.1",
-        "cordova-plugin-camera": "^7.0.0",
-        "cordova-plugin-keyboard": "^1.2.0",
-        "cordova-plugin-statusbar": "^4.0.0"
+        "cordova-plugin-camera": "^7.0.0"
       }
     },
     "node_modules/@netflix/nerror": {
@@ -542,39 +540,6 @@
         }
       }
     },
-    "node_modules/cordova-plugin-keyboard": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/cordova-plugin-keyboard/-/cordova-plugin-keyboard-1.2.0.tgz",
-      "integrity": "sha512-Zng4SgDQQ2BCqeDOvrsgNlM9tcjnxmJoh0Qhex0KltMsoR0g/ONbMTpaVvI8EhNKVO8HJPnhFxxzHxrCPLQ7sQ==",
-      "dev": true,
-      "engines": [
-        {
-          "name": "cordova",
-          "version": ">=3.2.0"
-        }
-      ]
-    },
-    "node_modules/cordova-plugin-statusbar": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/cordova-plugin-statusbar/-/cordova-plugin-statusbar-4.0.0.tgz",
-      "integrity": "sha512-NTVdQhj9msydnarCH8ijOhASx+6fO16hg17AilAjfzWRvcBoF+4kKkPhTkZM7D2bOBePhfHEaMhEnxnA3M4Dlg==",
-      "dev": true,
-      "engines": {
-        "cordovaDependencies": {
-          "0.1.0": {
-            "cordova": ">=3.0.0"
-          },
-          "4.0.0": {
-            "cordova": ">=3.0.0",
-            "cordova-android": ">=10.0.0",
-            "cordova-ios": ">=6.0.0"
-          },
-          "5.0.0": {
-            "cordova": ">100"
-          }
-        }
-      }
-    },
     "node_modules/cordova-serve": {
       "version": "4.0.1",
       "resolved": "https://registry.npmjs.org/cordova-serve/-/cordova-serve-4.0.1.tgz",
@@ -2652,18 +2617,6 @@
       "integrity": "sha512-OVQWZTBb18Y6e5c+bbXt3E4Z1yGnYqaywh2h5vVr/+nxMcdMIE+lm527bRK5vLN/RUqhGYP/Z+5n+O7Fk7fVNw==",
       "dev": true
     },
-    "cordova-plugin-keyboard": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/cordova-plugin-keyboard/-/cordova-plugin-keyboard-1.2.0.tgz",
-      "integrity": "sha512-Zng4SgDQQ2BCqeDOvrsgNlM9tcjnxmJoh0Qhex0KltMsoR0g/ONbMTpaVvI8EhNKVO8HJPnhFxxzHxrCPLQ7sQ==",
-      "dev": true
-    },
-    "cordova-plugin-statusbar": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/cordova-plugin-statusbar/-/cordova-plugin-statusbar-4.0.0.tgz",
-      "integrity": "sha512-NTVdQhj9msydnarCH8ijOhASx+6fO16hg17AilAjfzWRvcBoF+4kKkPhTkZM7D2bOBePhfHEaMhEnxnA3M4Dlg==",
-      "dev": true
-    },
     "cordova-serve": {
       "version": "4.0.1",
       "resolved": "https://registry.npmjs.org/cordova-serve/-/cordova-serve-4.0.1.tgz",

cordova/package.json

@@ -1,7 +1,7 @@
 {
   "name": "edu.midwestern.alvinn",
   "displayName": "ALVINN",
-  "version": "0.2.1",
+  "version": "0.5.0-alpha",
   "description": "Anatomy Lab Visual Identification Neural Network.",
   "main": "index.js",
   "scripts": {
@@ -16,14 +16,10 @@
     "cordova-android": "^12.0.1",
     "cordova-browser": "^7.0.0",
     "cordova-ios": "^7.0.1",
-    "cordova-plugin-camera": "^7.0.0",
-    "cordova-plugin-keyboard": "^1.2.0",
-    "cordova-plugin-statusbar": "^4.0.0"
+    "cordova-plugin-camera": "^7.0.0"
   },
   "cordova": {
     "plugins": {
-      "cordova-plugin-statusbar": {},
-      "cordova-plugin-keyboard": {},
       "cordova-plugin-camera": {
         "ANDROIDX_CORE_VERSION": "1.6.+"
       }

f7_info.md

@@ -32,7 +32,7 @@ Framework7 app created with following options:
   },
   "theming": {
     "customColor": true,
-    "color": "#002f65",
+    "color": "#0f206c",
     "darkMode": false,
     "iconFonts": true
   },

package.json

@@ -1,7 +1,7 @@
 {
   "name": "alvinn",
   "private": true,
-  "version": "0.2.1",
+  "version": "0.5.0-alpha",
   "description": "ALVINN",
   "repository": "",
   "license": "UNLICENSED",
@@ -14,7 +14,8 @@
     "cordova-ios": "cross-env TARGET=cordova cross-env NODE_ENV=production vite build && node ./build/build-cordova.js && cd cordova && cordova run ios",
     "build-cordova-android": "cross-env TARGET=cordova cross-env NODE_ENV=production vite build && node ./build/build-cordova.js && cd cordova && cordova build android",
     "cordova-android": "cross-env TARGET=cordova cross-env NODE_ENV=production vite build && node ./build/build-cordova.js && cd cordova && cordova run android",
-    "postinstall": "cpy --flat ./node_modules/framework7-icons/fonts/*.* ./src/fonts/ && cpy --flat ./node_modules/material-icons/iconfont/*.* ./src/fonts/"
+    "postinstall": "cpy --flat ./node_modules/framework7-icons/fonts/*.* ./src/fonts/",
+    "preview": "vite preview"
   },
   "browserslist": [
     "IOS >= 15",
@@ -23,14 +24,15 @@
     "last 5 Firefox versions"
   ],
   "dependencies": {
+    "@tensorflow/tfjs": "^4.21.0",
     "dom7": "^4.0.6",
     "framework7": "^8.3.0",
     "framework7-icons": "^5.0.5",
     "framework7-vue": "^8.3.0",
-    "material-icons": "^1.13.12",
     "skeleton-elements": "^4.0.1",
     "swiper": "^11.0.3",
-    "vue": "^3.3.8"
+    "vue": "^3.3.8",
+    "yaml": "^2.4.1"
   },
   "devDependencies": {
     "@vitejs/plugin-vue": "^4.4.1",

public/conf/conf.yaml

@@ -0,0 +1,17 @@
+demo: true
+agreeExpire: 3
+regions:
+  - thorax
+  - abdomen
+  - limbs
+  - head
+useExternal: none
+disableWorkers: false
+external:
+  - name: Mserver
+    address: "192.169.1.105"
+    port: 9001
+  - name: Georgi lab server
+    address: "10.188.0.98"
+    port: 9001
+infoUrl: http://anatlabwiki.midwestern.edu/vetlab/index.php/

public/models/abdomen-mini/descript.json

@@ -0,0 +1,10 @@
+{
+  "version": "0.1.0-n4",
+  "region": "Thorax",
+  "size": 640,
+  "epochs": 1000,
+  "name": "nano4",
+  "yolo-version": "8.1.20 docker",
+  "date": "2024-03-08",
+  "export": "0.1.0-th"
+}

public/models/abdomen-mini/metadata.yaml

@@ -0,0 +1,53 @@
+description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.1.0/thorax.yaml
+author: Ultralytics
+license: AGPL-3.0 https://ultralytics.com/license
+date: '2024-03-08T20:14:34.118186'
+version: 8.1.20
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: Abdominal diaphragm
+  1: Aorta
+  2: Azygous vein
+  3: Brachiocephalic trunk
+  4: Caudal vena cava
+  5: Cranial vena cava
+  6: Esophagus
+  7: External abdominal oblique
+  8: Iliocostalis
+  9: Latissimus dorsi
+  10: Left atrium
+  11: Left auricle
+  12: Left lung
+  13: Left subclavian artery
+  14: Left ventricle
+  15: Longissimus
+  16: Pectoralis profundus
+  17: Pectoralis superficialis
+  18: Pericardium
+  19: Phrenic nerve
+  20: Primary bronchus
+  21: Pulmonary artery
+  22: Pulmonary trunk
+  23: Pulmonary vein
+  24: Rectus abdominis
+  25: Rectus thoracis
+  26: Recurrent laryngeal nerve
+  27: Rhomboideus
+  28: Right atrium
+  29: Right auricle
+  30: Right lung
+  31: Right ventricle
+  32: Scalenus
+  33: Serratus dorsalis caudalis
+  34: Serratus dorsalis cranialis
+  35: Serratus ventralis
+  36: Spinalis
+  37: Sympathetic chain
+  38: Trachea
+  39: Trapezius
+  40: Vagus nerve

public/models/abdomen/classes.json

@@ -0,0 +1,43 @@
+[
+  "Abdominal diaphragm",
+  "Aorta",
+  "Azygous vein",
+  "Brachiocephalic trunk",
+  "Caudal vena cava",
+  "Cranial vena cava",
+  "Esophagus",
+  "External abdominal oblique",
+  "Iliocostalis",
+  "Latissimus dorsi",
+  "Left atrium",
+  "Left auricle",
+  "Left lung",
+  "Left subclavian artery",
+  "Left ventricle",
+  "Longissimus",
+  "Pectoralis profundus",
+  "Pectoralis superficialis",
+  "Pericardium",
+  "Phrenic nerve",
+  "Primary bronchus",
+  "Pulmonary artery",
+  "Pulmonary trunk",
+  "Pulmonary vein",
+  "Rectus abdominis",
+  "Rectus thoracis",
+  "Recurrent laryngeal nerve",
+  "Rhomboideus",
+  "Right atrium",
+  "Right auricle",
+  "Right lung",
+  "Right ventricle",
+  "Scalenus",
+  "Serratus dorsalis caudalis",
+  "Serratus dorsalis cranialis",
+  "Serratus ventralis",
+  "Spinalis",
+  "Sympathetic chain",
+  "Trachea",
+  "Trapezius",
+  "Vagus nerve"
+]

public/models/abdomen/descript.json

@@ -0,0 +1,10 @@
+{
+  "version": "0.1.0-n4",
+  "region": "Thorax",
+  "size": 640,
+  "epochs": 1000,
+  "name": "nano4",
+  "yolo-version": "8.1.20 docker",
+  "date": "2024-03-08",
+  "export": "0.1.0-th"
+}

public/models/abdomen/metadata.yaml

@@ -0,0 +1,53 @@
+description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.1.0/thorax.yaml
+author: Ultralytics
+license: AGPL-3.0 https://ultralytics.com/license
+date: '2024-03-08T20:14:34.118186'
+version: 8.1.20
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: Abdominal diaphragm
+  1: Aorta
+  2: Azygous vein
+  3: Brachiocephalic trunk
+  4: Caudal vena cava
+  5: Cranial vena cava
+  6: Esophagus
+  7: External abdominal oblique
+  8: Iliocostalis
+  9: Latissimus dorsi
+  10: Left atrium
+  11: Left auricle
+  12: Left lung
+  13: Left subclavian artery
+  14: Left ventricle
+  15: Longissimus
+  16: Pectoralis profundus
+  17: Pectoralis superficialis
+  18: Pericardium
+  19: Phrenic nerve
+  20: Primary bronchus
+  21: Pulmonary artery
+  22: Pulmonary trunk
+  23: Pulmonary vein
+  24: Rectus abdominis
+  25: Rectus thoracis
+  26: Recurrent laryngeal nerve
+  27: Rhomboideus
+  28: Right atrium
+  29: Right auricle
+  30: Right lung
+  31: Right ventricle
+  32: Scalenus
+  33: Serratus dorsalis caudalis
+  34: Serratus dorsalis cranialis
+  35: Serratus ventralis
+  36: Spinalis
+  37: Sympathetic chain
+  38: Trachea
+  39: Trapezius
+  40: Vagus nerve

public/models/head-mini/descript.json

@@ -0,0 +1,10 @@
+{
+  "version": "0.1.0-n4",
+  "region": "Thorax",
+  "size": 640,
+  "epochs": 1000,
+  "name": "nano4",
+  "yolo-version": "8.1.20 docker",
+  "date": "2024-03-08",
+  "export": "0.1.0-th"
+}

public/models/head-mini/metadata.yaml

@@ -0,0 +1,53 @@
+description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.1.0/thorax.yaml
+author: Ultralytics
+license: AGPL-3.0 https://ultralytics.com/license
+date: '2024-03-08T20:14:34.118186'
+version: 8.1.20
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: Abdominal diaphragm
+  1: Aorta
+  2: Azygous vein
+  3: Brachiocephalic trunk
+  4: Caudal vena cava
+  5: Cranial vena cava
+  6: Esophagus
+  7: External abdominal oblique
+  8: Iliocostalis
+  9: Latissimus dorsi
+  10: Left atrium
+  11: Left auricle
+  12: Left lung
+  13: Left subclavian artery
+  14: Left ventricle
+  15: Longissimus
+  16: Pectoralis profundus
+  17: Pectoralis superficialis
+  18: Pericardium
+  19: Phrenic nerve
+  20: Primary bronchus
+  21: Pulmonary artery
+  22: Pulmonary trunk
+  23: Pulmonary vein
+  24: Rectus abdominis
+  25: Rectus thoracis
+  26: Recurrent laryngeal nerve
+  27: Rhomboideus
+  28: Right atrium
+  29: Right auricle
+  30: Right lung
+  31: Right ventricle
+  32: Scalenus
+  33: Serratus dorsalis caudalis
+  34: Serratus dorsalis cranialis
+  35: Serratus ventralis
+  36: Spinalis
+  37: Sympathetic chain
+  38: Trachea
+  39: Trapezius
+  40: Vagus nerve

public/models/head/classes.json

@@ -0,0 +1,43 @@
+[
+  "Abdominal diaphragm",
+  "Aorta",
+  "Azygous vein",
+  "Brachiocephalic trunk",
+  "Caudal vena cava",
+  "Cranial vena cava",
+  "Esophagus",
+  "External abdominal oblique",
+  "Iliocostalis",
+  "Latissimus dorsi",
+  "Left atrium",
+  "Left auricle",
+  "Left lung",
+  "Left subclavian artery",
+  "Left ventricle",
+  "Longissimus",
+  "Pectoralis profundus",
+  "Pectoralis superficialis",
+  "Pericardium",
+  "Phrenic nerve",
+  "Primary bronchus",
+  "Pulmonary artery",
+  "Pulmonary trunk",
+  "Pulmonary vein",
+  "Rectus abdominis",
+  "Rectus thoracis",
+  "Recurrent laryngeal nerve",
+  "Rhomboideus",
+  "Right atrium",
+  "Right auricle",
+  "Right lung",
+  "Right ventricle",
+  "Scalenus",
+  "Serratus dorsalis caudalis",
+  "Serratus dorsalis cranialis",
+  "Serratus ventralis",
+  "Spinalis",
+  "Sympathetic chain",
+  "Trachea",
+  "Trapezius",
+  "Vagus nerve"
+]

public/models/head/descript.json

@@ -0,0 +1,12 @@
+{
+  "version": "0.3.1-s1",
+  "region": "Thorax",
+  "size": 960,
+  "epochs": 2000,
+  "epochsFinal:": 1656,
+  "name": "small1",
+  "yolo-version": "8.2.16 docker",
+  "date": "2024-06-05",
+  "export": "0.3.0-th",
+  "grayscale": true
+}

public/models/head/metadata.yaml

@@ -0,0 +1,53 @@
+description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.3.0/thorax_g.yaml
+author: Ultralytics
+license: AGPL-3.0 https://ultralytics.com/license
+date: '2024-06-05T22:55:38.088791'
+version: 8.1.20
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 960
+- 960
+names:
+  0: Abdominal diaphragm
+  1: Aorta
+  2: Azygous vein
+  3: Brachiocephalic trunk
+  4: Caudal vena cava
+  5: Cranial vena cava
+  6: Esophagus
+  7: External abdominal oblique
+  8: Iliocostalis
+  9: Latissimus dorsi
+  10: Left atrium
+  11: Left auricle
+  12: Left lung
+  13: Left subclavian artery
+  14: Left ventricle
+  15: Longissimus
+  16: Pectoralis profundus
+  17: Pectoralis superficialis
+  18: Pericardium
+  19: Phrenic nerve
+  20: Primary bronchus
+  21: Pulmonary artery
+  22: Pulmonary trunk
+  23: Pulmonary vein
+  24: Rectus abdominis
+  25: Rectus thoracis
+  26: Recurrent laryngeal nerve
+  27: Rhomboideus
+  28: Right atrium
+  29: Right auricle
+  30: Right lung
+  31: Right ventricle
+  32: Scalenus
+  33: Serratus dorsalis caudalis
+  34: Serratus dorsalis cranialis
+  35: Serratus ventralis
+  36: Spinalis
+  37: Sympathetic chain
+  38: Trachea
+  39: Trapezius
+  40: Vagus nerve

public/models/limbs-mini/descript.json

@@ -0,0 +1,10 @@
+{
+  "version": "0.0.1-n1",
+  "region": "Yolov8",
+  "size": 640,
+  "epochs": "NA",
+  "name": "nano1",
+  "yolo-version": "8.1.20 docker",
+  "date": "2024-03-28",
+  "export": "yolov8n.pt"
+}

public/models/limbs-mini/metadata.yaml

@@ -0,0 +1,92 @@
+description: Ultralytics YOLOv8n model trained on coco.yaml
+author: Ultralytics
+license: AGPL-3.0 https://ultralytics.com/license
+date: '2024-03-28T19:04:56.039396'
+version: 8.1.20
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: person
+  1: bicycle
+  2: car
+  3: motorcycle
+  4: airplane
+  5: bus
+  6: train
+  7: truck
+  8: boat
+  9: traffic light
+  10: fire hydrant
+  11: stop sign
+  12: parking meter
+  13: bench
+  14: bird
+  15: cat
+  16: dog
+  17: horse
+  18: sheep
+  19: cow
+  20: elephant
+  21: bear
+  22: zebra
+  23: giraffe
+  24: backpack
+  25: umbrella
+  26: handbag
+  27: tie
+  28: suitcase
+  29: frisbee
+  30: skis
+  31: snowboard
+  32: sports ball
+  33: kite
+  34: baseball bat
+  35: baseball glove
+  36: skateboard
+  37: surfboard
+  38: tennis racket
+  39: bottle
+  40: wine glass
+  41: cup
+  42: fork
+  43: knife
+  44: spoon
+  45: bowl
+  46: banana
+  47: apple
+  48: sandwich
+  49: orange
+  50: broccoli
+  51: carrot
+  52: hot dog
+  53: pizza
+  54: donut
+  55: cake
+  56: chair
+  57: couch
+  58: potted plant
+  59: bed
+  60: dining table
+  61: toilet
+  62: tv
+  63: laptop
+  64: mouse
+  65: remote
+  66: keyboard
+  67: cell phone
+  68: microwave
+  69: oven
+  70: toaster
+  71: sink
+  72: refrigerator
+  73: book
+  74: clock
+  75: vase
+  76: scissors
+  77: teddy bear
+  78: hair drier
+  79: toothbrush

public/models/limbs/classes.json

@@ -0,0 +1,82 @@
+[
+  "person",
+  "bicycle",
+  "car",
+  "motorcycle",
+  "airplane",
+  "bus",
+  "train",
+  "truck",
+  "boat",
+  "traffic light",
+  "fire hydrant",
+  "stop sign",
+  "parking meter",
+  "bench",
+  "bird",
+  "cat",
+  "dog",
+  "horse",
+  "sheep",
+  "cow",
+  "elephant",
+  "bear",
+  "zebra",
+  "giraffe",
+  "backpack",
+  "umbrella",
+  "handbag",
+  "tie",
+  "suitcase",
+  "frisbee",
+  "skis",
+  "snowboard",
+  "sports ball",
+  "kite",
+  "baseball bat",
+  "baseball glove",
+  "skateboard",
+  "surfboard",
+  "tennis racket",
+  "bottle",
+  "wine glass",
+  "cup",
+  "fork",
+  "knife",
+  "spoon",
+  "bowl",
+  "banana",
+  "apple",
+  "sandwich",
+  "orange",
+  "broccoli",
+  "carrot",
+  "hot dog",
+  "pizza",
+  "donut",
+  "cake",
+  "chair",
+  "couch",
+  "potted plant",
+  "bed",
+  "dining table",
+  "toilet",
+  "tv",
+  "laptop",
+  "mouse",
+  "remote",
+  "keyboard",
+  "cell phone",
+  "microwave",
+  "oven",
+  "toaster",
+  "sink",
+  "refrigerator",
+  "book",
+  "clock",
+  "vase",
+  "scissors",
+  "teddy bear",
+  "hair drier",
+  "toothbrush"
+]

public/models/limbs/descript.json

@@ -0,0 +1,10 @@
+{
+  "version": "0.0.1-s1",
+  "region": "Yolov8",
+  "size": 640,
+  "epochs": "NA",
+  "name": "small1",
+  "yolo-version": "8.1.20 docker",
+  "date": "2024-03-28",
+  "export": "yolov8s.pt"
+}

public/models/limbs/metadata.yaml

@@ -0,0 +1,92 @@
+description: Ultralytics YOLOv8s model trained on coco.yaml
+author: Ultralytics
+license: AGPL-3.0 https://ultralytics.com/license
+date: '2024-03-28T18:46:16.622181'
+version: 8.1.20
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: person
+  1: bicycle
+  2: car
+  3: motorcycle
+  4: airplane
+  5: bus
+  6: train
+  7: truck
+  8: boat
+  9: traffic light
+  10: fire hydrant
+  11: stop sign
+  12: parking meter
+  13: bench
+  14: bird
+  15: cat
+  16: dog
+  17: horse
+  18: sheep
+  19: cow
+  20: elephant
+  21: bear
+  22: zebra
+  23: giraffe
+  24: backpack
+  25: umbrella
+  26: handbag
+  27: tie
+  28: suitcase
+  29: frisbee
+  30: skis
+  31: snowboard
+  32: sports ball
+  33: kite
+  34: baseball bat
+  35: baseball glove
+  36: skateboard
+  37: surfboard
+  38: tennis racket
+  39: bottle
+  40: wine glass
+  41: cup
+  42: fork
+  43: knife
+  44: spoon
+  45: bowl
+  46: banana
+  47: apple
+  48: sandwich
+  49: orange
+  50: broccoli
+  51: carrot
+  52: hot dog
+  53: pizza
+  54: donut
+  55: cake
+  56: chair
+  57: couch
+  58: potted plant
+  59: bed
+  60: dining table
+  61: toilet
+  62: tv
+  63: laptop
+  64: mouse
+  65: remote
+  66: keyboard
+  67: cell phone
+  68: microwave
+  69: oven
+  70: toaster
+  71: sink
+  72: refrigerator
+  73: book
+  74: clock
+  75: vase
+  76: scissors
+  77: teddy bear
+  78: hair drier
+  79: toothbrush

public/models/thorax-mini/descript.json

@@ -0,0 +1,12 @@
+{
+  "version": "0.2.1-n3",
+  "region": "Thorax",
+  "size": 640,
+  "epochs": 1500,
+  "name": "nano3",
+  "yolo-version": "8.2.16 docker",
+  "date": "2024-06-17",
+  "export": "0.2.1-th",
+  "grayscale": true,
+  "background": 35
+}

public/models/thorax-mini/metadata.yaml

@@ -0,0 +1,54 @@
+description: Ultralytics best model trained on /data/ALVINN/Thorax 0.2.1/thorax_g.yaml
+author: Ultralytics
+date: '2024-06-17T22:40:05.967309'
+version: 8.2.16
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: Abdominal diaphragm
+  1: Aorta
+  2: Azygous vein
+  3: Brachiocephalic trunk
+  4: Caudal vena cava
+  5: Cranial vena cava
+  6: Esophagus
+  7: External abdominal oblique
+  8: Iliocostalis
+  9: Latissimus dorsi
+  10: Left atrium
+  11: Left auricle
+  12: Left lung
+  13: Left subclavian artery
+  14: Left ventricle
+  15: Longissimus
+  16: Pectoralis profundus
+  17: Pectoralis superficialis
+  18: Pericardium
+  19: Phrenic nerve
+  20: Primary bronchus
+  21: Pulmonary artery
+  22: Pulmonary trunk
+  23: Pulmonary vein
+  24: Rectus abdominis
+  25: Rectus thoracis
+  26: Recurrent laryngeal nerve
+  27: Rhomboideus
+  28: Right atrium
+  29: Right auricle
+  30: Right lung
+  31: Right ventricle
+  32: Scalenus
+  33: Serratus dorsalis caudalis
+  34: Serratus dorsalis cranialis
+  35: Serratus ventralis
+  36: Spinalis
+  37: Sympathetic chain
+  38: Trachea
+  39: Trapezius
+  40: Vagus nerve

public/models/thorax/classes.json

@@ -0,0 +1,43 @@
+[
+  "Abdominal diaphragm",
+  "Aorta",
+  "Azygous vein",
+  "Brachiocephalic trunk",
+  "Caudal vena cava",
+  "Cranial vena cava",
+  "Esophagus",
+  "External abdominal oblique",
+  "Iliocostalis",
+  "Latissimus dorsi",
+  "Left atrium",
+  "Left auricle",
+  "Left lung",
+  "Left subclavian artery",
+  "Left ventricle",
+  "Longissimus",
+  "Pectoralis profundus",
+  "Pectoralis superficialis",
+  "Pericardium",
+  "Phrenic nerve",
+  "Primary bronchus",
+  "Pulmonary artery",
+  "Pulmonary trunk",
+  "Pulmonary vein",
+  "Rectus abdominis",
+  "Rectus thoracis",
+  "Recurrent laryngeal nerve",
+  "Rhomboideus",
+  "Right atrium",
+  "Right auricle",
+  "Right lung",
+  "Right ventricle",
+  "Scalenus",
+  "Serratus dorsalis caudalis",
+  "Serratus dorsalis cranialis",
+  "Serratus ventralis",
+  "Spinalis",
+  "Sympathetic chain",
+  "Trachea",
+  "Trapezius",
+  "Vagus nerve"
+]

public/models/thorax/descript.json

@@ -0,0 +1,12 @@
+{
+  "version": "0.2.1-s1",
+  "region": "Thorax",
+  "size": 1080,
+  "epochs": 1399,
+  "name": "small1",
+  "yolo-version": "8.2.16 docker",
+  "date": "2024-06-18",
+  "export": "0.2.1-th",
+  "grayscale": true,
+  "background": 35
+}

public/models/thorax/metadata.yaml

@@ -0,0 +1,54 @@
+description: Ultralytics best model trained on /data/ALVINN/Thorax 0.2.1/thorax_g.yaml
+author: Ultralytics
+date: '2024-06-18T23:10:47.568324'
+version: 8.2.16
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 1088
+- 1088
+names:
+  0: Abdominal diaphragm
+  1: Aorta
+  2: Azygous vein
+  3: Brachiocephalic trunk
+  4: Caudal vena cava
+  5: Cranial vena cava
+  6: Esophagus
+  7: External abdominal oblique
+  8: Iliocostalis
+  9: Latissimus dorsi
+  10: Left atrium
+  11: Left auricle
+  12: Left lung
+  13: Left subclavian artery
+  14: Left ventricle
+  15: Longissimus
+  16: Pectoralis profundus
+  17: Pectoralis superficialis
+  18: Pericardium
+  19: Phrenic nerve
+  20: Primary bronchus
+  21: Pulmonary artery
+  22: Pulmonary trunk
+  23: Pulmonary vein
+  24: Rectus abdominis
+  25: Rectus thoracis
+  26: Recurrent laryngeal nerve
+  27: Rhomboideus
+  28: Right atrium
+  29: Right auricle
+  30: Right lung
+  31: Right ventricle
+  32: Scalenus
+  33: Serratus dorsalis caudalis
+  34: Serratus dorsalis cranialis
+  35: Serratus ventralis
+  36: Spinalis
+  37: Sympathetic chain
+  38: Trachea
+  39: Trapezius
+  40: Vagus nerve