Add new 0.2.1 mini thorax

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

public/models/thorax-mini/descript.json

@@ -1,11 +1,11 @@
 {
-  "version": "0.2.1-n2",
+  "version": "0.2.1-n3",
   "region": "Thorax",
-  "size": 960,
-  "epochs": 1524,
-  "name": "nano2",
+  "size": 640,
+  "epochs": 1500,
+  "name": "nano3",
   "yolo-version": "8.2.16 docker",
-  "date": "2024-06-14",
+  "date": "2024-06-17",
   "export": "0.2.1-th",
   "grayscale": true,
   "background": 35

public/models/thorax-mini/metadata.yaml

@@ -1,6 +1,6 @@
-description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.2.1/thorax_g.yaml
+description: Ultralytics best model trained on /data/ALVINN/Thorax 0.2.1/thorax_g.yaml
 author: Ultralytics
-date: '2024-06-14T22:58:20.880058'
+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
@@ -8,8 +8,8 @@ stride: 32
 task: detect
 batch: 1
 imgsz:
-- 960
-- 960
+- 640
+- 640
 names:
   0: Abdominal diaphragm
   1: Aorta

public/models/thorax/descript.json

@@ -1,12 +1,12 @@
 {
-  "version": "0.3.1-s1",
+  "version": "0.2.1-n2",
   "region": "Thorax",
   "size": 960,
-  "epochs": 2000,
-  "epochsFinal:": 1656,
-  "name": "small1",
+  "epochs": 1524,
+  "name": "nano2",
   "yolo-version": "8.2.16 docker",
-  "date": "2024-06-05",
-  "export": "0.3.0-th",
-  "grayscale": true
+  "date": "2024-06-14",
+  "export": "0.2.1-th",
+  "grayscale": true,
+  "background": 35
 }

public/models/thorax/metadata.yaml

@@ -1,8 +1,9 @@
-description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.3.0/thorax_g.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: '2024-06-05T22:55:38.088791'
-version: 8.1.20
+date: '2024-06-14T22:58:20.880058'
+version: 8.2.16
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
 stride: 32
 task: detect
 batch: 1