Initial commit: Recycling object detection project

- Added Fast api web application for recycling object detection
- Included YOLOv8 model training notebook
- Set up project structure with datasets and training directories
- Added requirements.txt for dependencies
- Configured .gitignore for Python virtual environment and cache files

datasets/runs/detect/train/args.yaml

@@ -0,0 +1,104 @@
+task: detect
+mode: train
+model: yolov8n.pt
+data: c:\Users\babaw\Documents\Work\Mana Knight Digital\ds_task_recycling_project\datasets\data.yaml
+epochs: 10
+time: null
+patience: 100
+batch: 16
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: null
+workers: 8
+project: null
+name: train
+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
+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: 0.01
+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
+cfg: null
+tracker: botsort.yaml
+save_dir: c:\Users\babaw\Documents\Work\Mana Knight Digital\ds_task_recycling_project\datasets\runs\detect\train

datasets/runs/detect/train/results.csv

@@ -0,0 +1,11 @@
+epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
+1,5.84441,2.52572,4.05767,2.33015,0.01111,0.83333,0.01397,0.00503,1.80865,3.21124,1.88138,0,0,0
+2,14.1917,2.49251,3.90367,2.29723,0.01222,0.91667,0.01909,0.00577,1.75159,3.20293,1.83773,1.802e-05,1.802e-05,1.802e-05
+3,21.6495,2.35908,3.84944,2.26983,0.01222,0.91667,0.02178,0.00655,1.70747,3.19626,1.79613,3.208e-05,3.208e-05,3.208e-05
+4,28.189,2.00446,3.79535,1.99834,0.01222,0.91667,0.03132,0.00904,1.64821,3.16944,1.75366,4.218e-05,4.218e-05,4.218e-05
+5,34.8909,1.99184,3.67331,1.94502,0.01333,1,0.0291,0.01058,1.58662,3.16606,1.70011,4.832e-05,4.832e-05,4.832e-05
+6,41.335,1.87066,3.55622,1.81437,0.01333,1,0.04292,0.01751,1.53459,3.13911,1.66568,5.05e-05,5.05e-05,5.05e-05
+7,49.1966,1.7327,3.25049,1.64998,0.01333,1,0.04882,0.02294,1.50023,3.0825,1.61293,4.872e-05,4.872e-05,4.872e-05
+8,56.5369,1.69186,3.23316,1.53494,0.01278,0.95833,0.06212,0.02922,1.45621,3.04023,1.56708,4.298e-05,4.298e-05,4.298e-05
+9,63.2091,1.53858,3.09146,1.50261,0.01278,0.95833,0.08811,0.03331,1.39336,3.0391,1.51951,3.328e-05,3.328e-05,3.328e-05
+10,69.7537,1.67113,3.06553,1.46777,0.01278,0.95833,0.08706,0.03455,1.38625,3.03201,1.50917,1.962e-05,1.962e-05,1.962e-05