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a/runs/detect/train392/val_batch1_pred.jpg b/runs/detect/train392/val_batch1_pred.jpg new file mode 100644 index 0000000..b2ff5f6 Binary files /dev/null and b/runs/detect/train392/val_batch1_pred.jpg differ diff --git a/runs/detect/train392/val_batch2_labels.jpg b/runs/detect/train392/val_batch2_labels.jpg new file mode 100644 index 0000000..1443d38 Binary files /dev/null and b/runs/detect/train392/val_batch2_labels.jpg differ diff --git a/runs/detect/train392/val_batch2_pred.jpg b/runs/detect/train392/val_batch2_pred.jpg new file mode 100644 index 0000000..2222dd7 Binary files /dev/null and b/runs/detect/train392/val_batch2_pred.jpg differ diff --git a/runs/detect/train40/args.yaml b/runs/detect/train40/args.yaml new file mode 100644 index 0000000..9e6278a --- /dev/null +++ b/runs/detect/train40/args.yaml @@ -0,0 +1,105 @@ +task: detect +mode: train +model: yolov8n.pt +data: data.yaml +epochs: 100 +time: null +patience: 100 +batch: 8 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: cpu +workers: 8 +project: null +name: train40 +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: true +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 +cutmix: 0.0 +copy_paste: 0.0 +copy_paste_mode: flip +auto_augment: randaugment +erasing: 0.4 +cfg: null +tracker: botsort.yaml +save_dir: C:\workspace\le-yolo\runs\detect\train40 diff --git a/runs/detect/train40/labels.jpg b/runs/detect/train40/labels.jpg new file mode 100644 index 0000000..add08e6 Binary files /dev/null and b/runs/detect/train40/labels.jpg differ diff --git a/runs/detect/train40/results.csv b/runs/detect/train40/results.csv new file mode 100644 index 0000000..db1ae07 --- /dev/null +++ b/runs/detect/train40/results.csv @@ -0,0 +1,6 @@ +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 +1,17.6253,1.58673,4.02966,1.4629,0.00306,0.95745,0.25147,0.21701,0.59831,3.4472,0.93484,0.00016,0.00016,0.00016 +2,34.157,0.97453,2.5837,1.00845,1,0.29022,0.93511,0.7284,0.72794,2.90934,0.85501,0.000336634,0.000336634,0.000336634 +3,50.8526,0.84409,2.14524,0.93347,0.01141,0.97872,0.95462,0.65143,0.72545,2.96458,0.86384,0.000509704,0.000509704,0.000509704 +4,68.8891,0.92823,1.93303,0.99896,1,0.17404,0.8576,0.66888,0.93772,3.1365,0.99018,0.00067921,0.00067921,0.00067921 +5,88.2008,0.86695,1.72383,0.99086,1,0.14981,0.89164,0.65259,0.85707,3.08949,0.94664,0.000845152,0.000845152,0.000845152 diff --git a/runs/detect/train40/train_batch0.jpg b/runs/detect/train40/train_batch0.jpg new file mode 100644 index 0000000..9d604dc Binary files /dev/null and b/runs/detect/train40/train_batch0.jpg differ diff --git a/runs/detect/train40/train_batch1.jpg b/runs/detect/train40/train_batch1.jpg new file mode 100644 index 0000000..0704687 Binary files /dev/null and b/runs/detect/train40/train_batch1.jpg differ diff --git a/runs/detect/train40/train_batch2.jpg b/runs/detect/train40/train_batch2.jpg new file mode 100644 index 0000000..2dcd9a0 Binary files /dev/null and b/runs/detect/train40/train_batch2.jpg differ diff --git a/runs/detect/train40/weights/best.pt b/runs/detect/train40/weights/best.pt new file mode 100644 index 0000000..0fc1115 Binary files /dev/null and b/runs/detect/train40/weights/best.pt differ diff --git a/runs/detect/train40/weights/last.pt b/runs/detect/train40/weights/last.pt new file mode 100644 index 0000000..a2db2d6 Binary files /dev/null and b/runs/detect/train40/weights/last.pt differ diff --git a/src/data.yaml b/src/data.yaml index b3e0e63..71c2d01 100644 --- a/src/data.yaml +++ b/src/data.yaml @@ -1,7 +1,7 @@ path: C:\workspace\le-yolo\data -train: images/test 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diff --git a/src/detected_objects/detected_object_0_99.0.jpg b/src/detected_objects/detected_object_0_99.0.jpg index 2fec66a..2e5276e 100644 Binary files a/src/detected_objects/detected_object_0_99.0.jpg and b/src/detected_objects/detected_object_0_99.0.jpg differ diff --git a/src/labels.py b/src/labels.py index 3d06ad9..af8b28c 100644 --- a/src/labels.py +++ b/src/labels.py @@ -35,7 +35,7 @@ def txt_construct(save_path, label_text): txt_file.write('\n') if __name__ == '__main__': - model_path = r'C:\workspace\le-yolo\runs\detect\train38\weights\best.pt' + model_path = r'C:\workspace\le-yolo\runs\detect\train39\weights\best.pt' model = Yolov8Detect(model_path) import glob image_path = glob.glob('../data/images/test/*.jpg') diff --git a/src/pic.py b/src/pic.py index 84e8afc..0657418 100644 --- a/src/pic.py +++ b/src/pic.py @@ -1,9 +1,9 @@ from ultralytics import YOLO import cv2 import os -model = YOLO(r"C:\workspace\le-yolo\runs\detect\train38\weights\best.pt") +model = YOLO(r"C:\workspace\le-yolo\runs\detect\train39\weights\best.pt") target_class = 0 -cap = cv2.VideoCapture('../res/1.mp4') +cap = cv2.VideoCapture('../res/4.mp4') if not os.path.exists('detected_objects'): os.makedirs('detected_objects') while cap.isOpened(): diff --git a/src/test.py b/src/test.py index f673eeb..fa435a3 100644 --- a/src/test.py +++ b/src/test.py @@ -1,3 +1,3 @@ from ultralytics import YOLO -model = YOLO(r"C:\workspace\le-yolo\runs\detect\train38\weights\best.pt") +model = YOLO(r"C:\workspace\le-yolo\runs\detect\train39\weights\best.pt") results = model.predict("../res/4.mp4", show=True, save=True) diff --git a/src/train.py b/src/train.py index 7403d1f..de3a184 100644 --- a/src/train.py +++ b/src/train.py @@ -1,5 +1,10 @@ from ultralytics import YOLO -model = YOLO(r"C:\workspace\le-yolo\runs\detect\train34\weights\last.pt") +import time +start_time = time.time() +model = YOLO("yolov8n.pt") model.train(data="data.yaml", epochs=100, batch=8, device='cpu', imgsz=640, augment = True) model.val() -print('训练完成') \ No newline at end of file +print('训练完成') +end_time = time.time() +run_time = end_time - start_time +print('运行时间：', run_time, '秒') \ No newline at end of file