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config.yaml

@@ -1,106 +1,62 @@
-task: detect
-mode: train
-model: yolo11n.pt
-data: data.yaml
-epochs: 1000
-time: null
-patience: 100
-batch: 16
-imgsz: 640
-save: true
-save_period: -1
-cache: false
-device: null
-workers: 8
-project: null
-name: train2
-exist_ok: false
-pretrained: true
-optimizer: auto
-verbose: true
-seed: 0
-deterministic: true
-single_cls: false
-rect: false
-cos_lr: false
-close_mosaic: 10
-resume: false
-amp: true
-fraction: 1.0
-profile: false
-freeze: null
-multi_scale: false
-overlap_mask: true
-mask_ratio: 4
-dropout: 0.0
-val: true
-split: val
-save_json: false
-save_hybrid: false
-conf: null
-iou: 0.7
-max_det: 300
-half: false
-dnn: false
-plots: true
-source: null
-vid_stride: 1
-stream_buffer: false
-visualize: false
-augment: false
-agnostic_nms: false
-classes: null
-retina_masks: false
-embed: null
-show: false
-save_frames: false
-save_txt: false
-save_conf: false
-save_crop: false
-show_labels: true
-show_conf: true
-show_boxes: true
-line_width: null
-format: torchscript
-keras: false
-optimize: false
-int8: false
-dynamic: false
-simplify: true
-opset: null
-workspace: null
-nms: false
-lr0: 0.001
-lrf: 0.01
-momentum: 0.937
-weight_decay: 0.0005
-warmup_epochs: 3.0
-warmup_momentum: 0.8
-warmup_bias_lr: 0.1
-box: 7.5
-cls: 0.5
-dfl: 1.5
-pose: 12.0
-kobj: 1.0
-nbs: 64
-hsv_h: 0.015
-hsv_s: 0.7
-hsv_v: 0.4
-degrees: 0.0
-translate: 0.1
-scale: 0.5
-shear: 0.0
-perspective: 0.0
-flipud: 0.0
-fliplr: 0.5
-bgr: 0.0
-mosaic: 1.0
-mixup: 0.0
-copy_paste: 0.0
-copy_paste_mode: flip
-auto_augment: randaugment
-erasing: 0.4
-crop_fraction: 1.0
-cfg: null
-tracker: botsort.yaml
-save_dir: runs/detect/train2
+
+# path: C:\\Users\\LykaA\\Downloads\\Lyka sgtech\\LEARN\\Image Annotation\\CVAT\\finetune_yolov8\\finetuning_yolo\\code\\small_dataset_from_lyka\\data  # objects test
+path: C:\\Users\\LykaA\\Downloads\\Lyka sgtech\\LEARN\\Image Annotation\\CVAT\\finetune_yolov8\\finetuning_yolo\\code\\activities_dataset\\data  # activities test
+train: train  # train images (relative to 'path')
+val: validation # val images (relative to 'path')
+
+# Classes
+nc: 53
+names:
+  0: Person
+  1: Scooter
+  2: bottle
+  3: Wheelchair
+  4: Skipping rope
+  5: food
+  6: Phone
+  7: Cup
+  8: Book
+  9: Cloth
+  10: Shoes
+  11: Bicycle
+  12: Fishing Rod
+  13: Skating Shoes
+  14: Toy
+  15: Headphone
+  16: Jogging
+  17: Drinking
+  18: Comforting
+  19: Crying
+  20: Throwing litter
+  21: Tying
+  22: Scooting
+  23: Cycling
+  24: Sliding
+  25: Climbing
+  26: Scolding
+  27: Guiding
+  28: Talking
+  29: Reading
+  30: Wiping
+  31: Pushing
+  32: Preparing
+  33: Holding
+  34: Waiting
+  35: Running
+  36: Playing
+  37: Exercising
+  38: Photography
+  39: Selfie
+  40: Eating
+  41: Looking
+  42: Pointing
+  43: Watching
+  44: Fishing
+  45: Falling
+  46: Searching
+  47: Shouting
+  48: Laughing
+  49: Shocked
+  50: Swinging
+  51: Clapping
+  52: Resting

config_cvat.yaml

@@ -0,0 +1,64 @@
+model:
+  type: YOLOv8
+  framework: PyTorch
+  weights: C:\Users\LykaA\Downloads\Lyka sgtech\LEARN\Image Annotation\CVAT\finetune_yolov8\finetuning_yolo\code\runs\detect	rain2\weightsest.pt
+  input_size: [640, 640]
+inference:
+  confidence_threshold: 0.25
+  iou_threshold: 0.45
+  max_detections: 300
+classes:
+  - 0: Person
+  - 1: Scooter
+  - 2: Wheelchair
+  - 3: Phone
+  - 4: Cup
+  - 5: Book
+  - 6: Cloth
+  - 7: Shoes
+  - 8: Bicycle
+  - 9: Skating Shoes
+  - 10: Toy
+  - 11: Headphone
+  - 12: Food
+  - 13: Bottle
+  - 14: Ball
+  - 15: Map
+  - 16: Ice cream
+  - 17: Camera
+  - 18: Shovel
+  - 19: Sandcastle bucket
+  - 20: Chair
+  - 21: Trolley
+  - 22: Swimming float
+  - 23: Slide
+  - 24: Water
+  - 25: Plate
+  - 26: Tray
+  - 27: Wallet
+  - 28: Ipad
+  - 29: Luggage
+  - 30: Car
+  - 31: Package
+  - 32: Microphone
+  - 33: Cleaning trolley
+  - 34: Stroller
+  - 35: Clothes
+  - 36: Flyers
+  - 37: Water can
+  - 38: Compost
+  - 39: Pot
+  - 40: Plant
+  - 41: Pitcher
+  - 42: Bin
+  - 43: Bucket
+  - 44: Aquarium
+  - 45: Fishing net
+  - 46: Sandcastle
+  - 47: Newspaper
+  - 48: Shell
+  - 49: Sunscreen
+  - 50: Water gun
+  - 51: Bookshelf
+  - 52: Yarn
+  - 53: Baby

data.yaml

@@ -1,9 +1,3 @@
-
-path: /home/besanhalwa/Eshan/YOLO/Try3_bigger_data_reduced_labels/code/data/nicpras_all_images/nicpras_obj_all/data  # dataset root dir
-train: train/  # train images (relative to 'path')
-val: validation/  # val images (relative to 'path')
-
-# Classes
 names:
   0: Person
   1: Scooter
@@ -59,3 +53,5 @@ names:
   51: Bookshelf
   52: Yarn
   53: Baby
+path: .
+train: train.txt