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.gitattributes CHANGED
@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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Makefile ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ provision:
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+ conda create --name aero-detection python=3.10 -y
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+
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+ build:
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+ pip install ultralytics
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+
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+ run:
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+ python main.py
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main.py ADDED
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+ from ultralytics import YOLO
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+
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+ # Load a model
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+ model = YOLO("best.pt") # load a pretrained model (recommended for training)
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+
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+ # Use the model
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+ # model.train(data="/data.yaml", epochs=3) # train the model
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+ # metrics = model.val() # evaluate model performance on the validation set
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+ results = model("data/Screenshot 2023-10-21 at 14.28.32.png", stream=True, show=True, save=True, conf=0.7) # predict on an image
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+ # path = model.export(format="onnx") # export the model to ONNX format
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+
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+ # Process results generator
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+ for result in results:
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+ boxes = result.boxes # Boxes object for bbox outputs
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+ masks = result.masks # Masks object for segmentation masks outputs
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+ keypoints = result.keypoints # Keypoints object for pose outputs
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+ probs = result.probs # Probs object for classification outputs
train/.DS_Store ADDED
Binary file (6.15 kB). View file
 
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+ task: detect
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+ mode: train
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+ model: yolov8s.yaml
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+ data: /kaggle/working/datasets/Aerial-Airport-1/data.yaml
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+ epochs: 250
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+ patience: 50
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+ batch: 16
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+ imgsz: 640
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+ save: true
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+ save_period: 50
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+ cache: true
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+ device: null
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+ workers: 8
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+ project: null
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+ name: train
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+ exist_ok: false
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+ pretrained: true
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+ optimizer: auto
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+ verbose: true
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+ seed: 0
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+ deterministic: true
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+ single_cls: false
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+ rect: false
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+ cos_lr: false
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+ close_mosaic: 10
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+ resume: false
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+ amp: true
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+ fraction: 1.0
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+ profile: false
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+ freeze: null
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+ overlap_mask: true
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+ mask_ratio: 4
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+ dropout: 0.0
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+ val: true
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+ split: val
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+ save_json: false
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+ save_hybrid: false
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+ conf: null
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+ iou: 0.7
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+ max_det: 300
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+ half: false
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+ dnn: false
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+ plots: true
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+ source: null
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+ show: false
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+ save_txt: false
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+ save_conf: false
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+ save_crop: false
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+ show_labels: true
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+ show_conf: true
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+ vid_stride: 1
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+ stream_buffer: false
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+ line_width: null
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+ visualize: false
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+ augment: false
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+ agnostic_nms: false
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+ classes: null
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+ retina_masks: false
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+ boxes: true
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+ format: torchscript
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+ keras: false
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+ optimize: false
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+ int8: false
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+ dynamic: false
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+ simplify: false
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+ opset: null
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+ workspace: 4
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+ nms: false
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+ lr0: 0.01
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+ lrf: 0.01
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+ momentum: 0.937
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+ weight_decay: 0.0005
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+ warmup_epochs: 3.0
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+ warmup_momentum: 0.8
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+ warmup_bias_lr: 0.1
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+ box: 7.5
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+ cls: 0.5
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+ dfl: 1.5
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+ pose: 12.0
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+ kobj: 1.0
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+ label_smoothing: 0.0
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+ nbs: 64
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+ hsv_h: 0.015
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+ copy_paste: 0.0
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+ cfg: null
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+ tracker: botsort.yaml
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+ save_dir: runs/detect/train
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176
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train/val_batch2_pred.jpg ADDED