Update thorax to first nano grayscale model

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

public/models/thorax-mini/descript.json

@@ -1,10 +1,11 @@
 {
-  "version": "0.1.0-n4",
+  "version": "0.2.1-n1",
   "region": "Thorax",
-  "size": 640,
-  "epochs": 1000,
-  "name": "nano4",
-  "yolo-version": "8.1.20 docker",
-  "date": "2024-03-08",
-  "export": "0.1.0-th"
-}
+  "size": 960,
+  "epochs": 1518,
+  "name": "med1",
+  "yolo-version": "8.2.16 docker",
+  "date": "2024-06-11",
+  "export": "0.2.1-th",
+  "grayscale": true
+}

public/models/thorax-mini/metadata.yaml

@@ -1,14 +1,15 @@
-description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.1.0/thorax.yaml
+description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.2.1/thorax_g.yaml
 author: Ultralytics
-license: AGPL-3.0 https://ultralytics.com/license
-date: '2024-03-08T20:14:34.118186'
-version: 8.1.20
+date: '2024-06-11T23:10:26.670526'
+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
+- 960
+- 960
 names:
   0: Abdominal diaphragm
   1: Aorta

public/models/thorax/descript.json

@@ -1,10 +1,12 @@
 {
-  "version": "0.1.0-s1",
+  "version": "0.3.1-s1",
   "region": "Thorax",
-  "size": 640,
-  "epochs": 1000,
+  "size": 960,
+  "epochs": 2000,
+  "epochsFinal:": 1656,
   "name": "small1",
-  "yolo-version": "8.1.20 docker",
-  "date": "2024-03-07",
-  "export": "0.1.0-th"
+  "yolo-version": "8.2.16 docker",
+  "date": "2024-06-05",
+  "export": "0.3.0-th",
+  "grayscale": true
 }

public/models/thorax/metadata.yaml

@@ -1,14 +1,14 @@
-description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.1.0/thorax.yaml
+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: '2024-03-07T16:03:03.296997'
+date: '2024-06-05T22:55:38.088791'
 version: 8.1.20
 stride: 32
 task: detect
 batch: 1
 imgsz:
-- 640
-- 640
+- 960
+- 960
 names:
   0: Abdominal diaphragm
   1: Aorta