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ultralytics 8.0.93 HUB docs and JSON2YOLO converter (#2431)

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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: 李际朝 <tubkninght@gmail.com>
Co-authored-by: Danny Kim <imbird0312@gmail.com>
This commit is contained in:
Glenn Jocher
2023-05-06 01:12:43 +02:00
committed by GitHub
parent 0ebd3f2959
commit ddb354ce5e
34 changed files with 1107 additions and 759 deletions
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5
ultralytics/yolo/cfg/__init__.py
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@ -68,7 +68,7 @@ CFG_FRACTION_KEYS = ('dropout', 'iou', 'lr0', 'lrf', 'momentum', 'weight_decay',
'label_smoothing', 'hsv_h', 'hsv_s', 'hsv_v', 'translate', 'scale', 'perspective', 'flipud',
'fliplr', 'mosaic', 'mixup', 'copy_paste', 'conf', 'iou') # fractional floats limited to 0.0 - 1.0
CFG_INT_KEYS = ('epochs', 'patience', 'batch', 'workers', 'seed', 'close_mosaic', 'mask_ratio', 'max_det', 'vid_stride',
'line_thickness', 'workspace', 'nbs', 'save_period')
'line_width', 'workspace', 'nbs', 'save_period')
CFG_BOOL_KEYS = ('save', 'exist_ok', 'verbose', 'deterministic', 'single_cls', 'rect', 'cos_lr', 'overlap_mask', 'val',
'save_json', 'save_hybrid', 'half', 'dnn', 'plots', 'show', 'save_txt', 'save_conf', 'save_crop',
'show_labels', 'show_conf', 'visualize', 'augment', 'agnostic_nms', 'retina_masks', 'boxes', 'keras',
@ -152,6 +152,9 @@ def _handle_deprecation(custom):
if key == 'hide_conf':
deprecation_warn(key, 'show_conf')
custom['show_conf'] = custom.pop('hide_conf') == 'False'
if key == 'line_thickness':
deprecation_warn(key, 'line_width')
custom['line_width'] = custom.pop('line_thickness')
return custom

2
ultralytics/yolo/cfg/default.yaml
View File

@ -57,7 +57,7 @@ save_crop: False # save cropped images with results
show_labels: True # show object labels in plots
show_conf: True # show object confidence scores in plots
vid_stride: 1 # video frame-rate stride
line_thickness: 3 # bounding box thickness (pixels)
line_width: # line width of the bounding boxes
visualize: False # visualize model features
augment: False # apply image augmentation to prediction sources
agnostic_nms: False # class-agnostic NMS