ultralytics 8.0.105
classification hyp fix and new onplot
callbacks (#2684)
Co-authored-by: ayush chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Ivan Shcheklein <shcheklein@gmail.com>
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@ -10,4 +10,4 @@ description: Ensure class names match filenames for easy imports. Use AutoBacken
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# check_class_names
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---
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:::ultralytics.nn.autobackend.check_class_names
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@ -10,4 +10,4 @@ description: Detect 80+ object categories with bounding box coordinates and clas
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# Detections
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---
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:::ultralytics.nn.autoshape.Detections
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@ -85,4 +85,4 @@ description: Explore ultralytics.nn.modules.block to build powerful YOLO object
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# BottleneckCSP
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---
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:::ultralytics.nn.modules.block.BottleneckCSP
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@ -65,4 +65,4 @@ description: Explore convolutional neural network modules & techniques such as L
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# autopad
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---
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:::ultralytics.nn.modules.conv.autopad
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@ -25,4 +25,4 @@ description: 'Learn about Ultralytics YOLO modules: Segment, Classify, and RTDET
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# RTDETRDecoder
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---
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:::ultralytics.nn.modules.head.RTDETRDecoder
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@ -50,4 +50,4 @@ description: Explore the Ultralytics nn modules pages on Transformer and MLP blo
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# DeformableTransformerDecoder
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---
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:::ultralytics.nn.modules.transformer.DeformableTransformerDecoder
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@ -25,4 +25,4 @@ description: 'Learn about Ultralytics NN modules: get_clones, linear_init_, and
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# multi_scale_deformable_attn_pytorch
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---
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:::ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
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@ -65,4 +65,4 @@ description: Learn how to work with Ultralytics YOLO Detection, Segmentation & C
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# guess_model_task
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---
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:::ultralytics.nn.tasks.guess_model_task
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