Start export implementation (#110)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/yolo/utils/configs/default.yaml

@@ -1,102 +0,0 @@
-# YOLO 🚀 by Ultralytics, GPL-3.0 license
-# Default training settings and hyperparameters for medium-augmentation COCO training
-
-# Task and Mode
-task: "classify"  # choices=['detect', 'segment', 'classify', 'init'] # init is a special case
-mode: "train"  # choice=['train', 'val', 'predict']
-
-# Train settings -------------------------------------------------------------------------------------------------------
-model: null  # i.e. yolov5s.pt, yolo.yaml
-data: null  # i.e. coco128.yaml
-epochs: 100
-batch_size: 16
-imgsz: 640
-nosave: False
-cache: False  # True/ram, disk or False
-device: ''  # cuda device, i.e. 0 or 0,1,2,3 or cpu
-workers: 8
-project: null
-name: null
-exist_ok: False
-pretrained: False
-optimizer: 'SGD'  # choices=['SGD', 'Adam', 'AdamW', 'RMSProp']
-verbose: False
-seed: 0
-deterministic: True
-local_rank: -1
-single_cls: False  # train multi-class data as single-class
-image_weights: False  # use weighted image selection for training
-rect: False  # support rectangular training
-cos_lr: False  # use cosine LR scheduler
-close_mosaic: 10  # disable mosaic for final 10 epochs
-# Segmentation
-overlap_mask: True  # masks overlap
-mask_ratio: 4  # mask downsample ratio
-# Classification
-dropout: False  # use dropout
-resume: False
-
-
-# Val/Test settings ----------------------------------------------------------------------------------------------------
-noval: False
-save_json: False
-save_hybrid: False
-conf_thres: 0.001
-iou_thres: 0.7
-max_det: 300
-half: True
-dnn: False  # use OpenCV DNN for ONNX inference
-plots: True
-
-# Prediction settings:
-source: "ultralytics/assets/"
-view_img: False
-save_txt: False
-save_conf: False
-save_crop: False
-hide_labels: False  # hide labels
-hide_conf: False
-vid_stride: 1  # video frame-rate stride
-line_thickness: 3  # bounding box thickness (pixels)
-update: False  # Update all models
-visualize: False
-augment: False
-agnostic_nms: False  # class-agnostic NMS
-retina_masks: False
-
-# Hyperparameters ------------------------------------------------------------------------------------------------------
-lr0: 0.01  # initial learning rate (SGD=1E-2, Adam=1E-3)
-lrf: 0.01  # final OneCycleLR learning rate (lr0 * lrf)
-momentum: 0.937  # SGD momentum/Adam beta1
-weight_decay: 0.0005  # optimizer weight decay 5e-4
-warmup_epochs: 3.0  # warmup epochs (fractions ok)
-warmup_momentum: 0.8  # warmup initial momentum
-warmup_bias_lr: 0.1  # warmup initial bias lr
-box: 7.5  # box loss gain
-cls: 0.5  # cls loss gain (scale with pixels)
-dfl: 1.5  # dfl loss gain
-fl_gamma: 0.0  # focal loss gamma (efficientDet default gamma=1.5)
-label_smoothing: 0.0
-nbs: 64  # nominal batch size
-hsv_h: 0.015  # image HSV-Hue augmentation (fraction)
-hsv_s: 0.7  # image HSV-Saturation augmentation (fraction)
-hsv_v: 0.4  # image HSV-Value augmentation (fraction)
-degrees: 0.0  # image rotation (+/- deg)
-translate: 0.1  # image translation (+/- fraction)
-scale: 0.5  # image scale (+/- gain)
-shear: 0.0  # image shear (+/- deg)
-perspective: 0.0  # image perspective (+/- fraction), range 0-0.001
-flipud: 0.0  # image flip up-down (probability)
-fliplr: 0.5  # image flip left-right (probability)
-mosaic: 1.0  # image mosaic (probability)
-mixup: 0.0  # image mixup (probability)
-copy_paste: 0.0  # segment copy-paste (probability)
-
-# For debugging. Don't change
-v5loader: True
-
-# Hydra configs --------------------------------------------------------------------------------------------------------
-hydra:
-  output_subdir: null  # disable hydra directory creation
-  run:
-    dir: .