`ultralytics 8.0.216` fix hard-coded `batch=64` cls loss (#6523)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: HDW AI group <huzhongshan@gmail.com>

docs/hi/models/yolov3.md

@@ -82,7 +82,7 @@ YOLOv3 श्रृंखला, इनमें YOLOv3, YOLOv3-Ultralytics औ
 
 अगर आप अपने शोध में YOLOv3 का उपयोग करते हैं, तो कृपया मूल YOLO पेपर्स और Ultralytics YOLOv3 रिपॉज़िटरी को उद्धृत करें।
 
-!!! उध्दरण ""
+!!! Quote ""
 
     === "BibTeX"
 

docs/hi/models/yolov5.md

@@ -72,8 +72,7 @@ YOLOv5u वस्तु ज्ञापन के तरीकों में
         model.info()
 
         # COCO8 प्रायोगिक उदाहरण डेटासेट पर 100 एपॉक के लिए मॉडल
-
-ka प्रशिक्षित करें results = model.train(data='coco8.yaml', epochs=100, imgsz=640)
+        results = model.train(data='coco8.yaml', epochs=100, imgsz=640)
 
         # YOLOv5n मॉडल के साथ 'bus.jpg' छविमें ज्ञापन चलाएं
         results = model('path/to/bus.jpg')

docs/hi/models/yolov8.md

@@ -36,7 +36,7 @@ Yएक मॉडल के हर मानक, विशिष्ट कार
 
 ## प्रदर्शन की मापदंड
 
-!!! प्रदर्शन
+!!! Note "प्रदर्शन"
 
     === "वस्तुनिर्धारण (COCO)"
 

docs/mkdocs_ar.yml

@@ -188,6 +188,17 @@ nav:
       - الوضعية: tasks/pose.md
   - النماذج:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - المجموعات البيانية:
       - datasets/index.md
 

docs/mkdocs_de.yml

@@ -188,6 +188,17 @@ nav:
       - Pose: tasks/pose.md
   - Modelle:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Datensätze:
       - datasets/index.md
 

docs/mkdocs_es.yml

@@ -188,6 +188,17 @@ nav:
       - Pose: tasks/pose.md
   - Modelos:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Conjuntos de datos:
       - datasets/index.md
 

docs/mkdocs_fr.yml

@@ -188,6 +188,17 @@ nav:
       - Pose: tasks/pose.md
   - Modèles:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Jeux de données:
       - datasets/index.md
 

docs/mkdocs_hi.yml

@@ -188,6 +188,17 @@ nav:
       - मुद्रा: tasks/pose.md
   - मॉडल:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - डेटासेट्स:
       - datasets/index.md
 

docs/mkdocs_ja.yml

@@ -188,6 +188,17 @@ nav:
       - ポーズ: tasks/pose.md
   - モデル:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - データセット:
       - datasets/index.md
 

docs/mkdocs_ko.yml

@@ -188,6 +188,17 @@ nav:
       - 포즈: tasks/pose.md
   - 모델:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - 데이터셋:
       - datasets/index.md
 

docs/mkdocs_pt.yml

@@ -188,6 +188,17 @@ nav:
       - Pose: tasks/pose.md
   - Modelos:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Conjuntos de Dados:
       - datasets/index.md
 

docs/mkdocs_ru.yml

@@ -188,6 +188,17 @@ nav:
       - Поза: tasks/pose.md
   - Модели:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Данные:
       - datasets/index.md
 

docs/mkdocs_zh.yml

@@ -188,6 +188,17 @@ nav:
       - 姿态: tasks/pose.md
   - 模型:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - 数据集:
       - datasets/index.md
 

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = '8.0.215'
+__version__ = '8.0.216'
 
 from ultralytics.models import RTDETR, SAM, YOLO
 from ultralytics.models.fastsam import FastSAM

ultralytics/utils/loss.py

@@ -523,6 +523,6 @@ class v8ClassificationLoss:
 
     def __call__(self, preds, batch):
         """Compute the classification loss between predictions and true labels."""
-        loss = torch.nn.functional.cross_entropy(preds, batch['cls'], reduction='sum') / 64
+        loss = torch.nn.functional.cross_entropy(preds, batch['cls'], reduction='mean')
         loss_items = loss.detach()
         return loss, loss_items