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b/runs/detect/train29/args.yaml new file mode 100644 index 0000000..0536c61 --- /dev/null +++ b/runs/detect/train29/args.yaml @@ -0,0 +1,105 @@ +task: detect +mode: train +model: C:\workspace\le-yolo\runs\detect\train28\weights\last.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: train29 +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 +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\train29 diff --git a/runs/detect/train29/labels.jpg b/runs/detect/train29/labels.jpg new file mode 100644 index 0000000..cf7777b Binary files /dev/null and b/runs/detect/train29/labels.jpg differ diff --git a/runs/detect/train29/results.csv b/runs/detect/train29/results.csv new file mode 100644 index 0000000..3de3ff5 --- /dev/null +++ b/runs/detect/train29/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 +1,10.9915,0.32252,0.30008,0.82477,0.70044,0.61111,0.70693,0.40802,1.4156,1.82764,1.29528,0.00012,0.00012,0.00012 +2,21.3682,0.53183,0.3616,0.91691,0.72802,0.59561,0.70432,0.41349,1.33528,1.92446,1.26227,0.000257426,0.000257426,0.000257426 +3,31.8168,0.42738,0.31044,0.85128,0.82643,0.61111,0.66695,0.40551,1.29937,1.92941,1.24453,0.00039208,0.00039208,0.00039208 +4,42.1957,0.37061,0.29492,0.73008,0.77904,0.61111,0.64413,0.38489,1.31936,1.98984,1.23691,0.000523962,0.000523962,0.000523962 +5,52.9546,0.41831,0.31655,0.84052,0.85674,0.66465,0.68326,0.41733,1.30685,2.14326,1.23156,0.000653072,0.000653072,0.000653072 diff --git a/runs/detect/train29/train_batch0.jpg b/runs/detect/train29/train_batch0.jpg new file mode 100644 index 0000000..ba7ea35 Binary files /dev/null and b/runs/detect/train29/train_batch0.jpg differ diff --git a/runs/detect/train29/train_batch1.jpg b/runs/detect/train29/train_batch1.jpg new file mode 100644 index 0000000..ebc5faf Binary files /dev/null and b/runs/detect/train29/train_batch1.jpg differ diff --git a/runs/detect/train29/train_batch2.jpg b/runs/detect/train29/train_batch2.jpg new file mode 100644 index 0000000..c2a5bd8 Binary files /dev/null and b/runs/detect/train29/train_batch2.jpg differ diff --git a/runs/detect/train29/weights/best.pt b/runs/detect/train29/weights/best.pt new file mode 100644 index 0000000..2a715ff Binary files /dev/null and b/runs/detect/train29/weights/best.pt differ diff --git a/runs/detect/train29/weights/last.pt b/runs/detect/train29/weights/last.pt new file mode 100644 index 0000000..2a715ff Binary files /dev/null and b/runs/detect/train29/weights/last.pt differ diff --git a/runs/detect/train30/args.yaml b/runs/detect/train30/args.yaml new file mode 100644 index 0000000..10e0b3c --- /dev/null +++ b/runs/detect/train30/args.yaml @@ -0,0 +1,105 @@ +task: detect +mode: train +model: C:\workspace\le-yolo\runs\detect\train28\weights\last.pt +data: data.yaml +epochs: 500 +time: null +patience: 100 +batch: 8 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: cpu +workers: 8 +project: null +name: train30 +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 +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\train30 diff --git a/runs/detect/train30/labels.jpg b/runs/detect/train30/labels.jpg new file mode 100644 index 0000000..cf7777b Binary files /dev/null and b/runs/detect/train30/labels.jpg differ diff --git a/runs/detect/train30/results.csv b/runs/detect/train30/results.csv new file mode 100644 index 0000000..863d0e3 --- /dev/null +++ b/runs/detect/train30/results.csv @@ -0,0 +1,3 @@ +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 +1,11.1511,0.32252,0.30008,0.82477,0.70044,0.61111,0.70693,0.40802,1.4156,1.82764,1.29528,0.00012,0.00012,0.00012 +2,22.5621,0.53184,0.36156,0.91688,0.72808,0.5958,0.70432,0.41349,1.33491,1.92438,1.2624,0.000259485,0.000259485,0.000259485 diff --git a/runs/detect/train30/train_batch0.jpg b/runs/detect/train30/train_batch0.jpg new file mode 100644 index 0000000..ba7ea35 Binary files /dev/null and b/runs/detect/train30/train_batch0.jpg differ diff --git a/runs/detect/train30/train_batch1.jpg b/runs/detect/train30/train_batch1.jpg new file mode 100644 index 0000000..ebc5faf Binary files /dev/null and b/runs/detect/train30/train_batch1.jpg differ diff --git a/runs/detect/train30/train_batch2.jpg b/runs/detect/train30/train_batch2.jpg new file mode 100644 index 0000000..c2a5bd8 Binary files /dev/null and b/runs/detect/train30/train_batch2.jpg differ diff --git a/runs/detect/train30/weights/best.pt b/runs/detect/train30/weights/best.pt new file mode 100644 index 0000000..594cac0 Binary files /dev/null and b/runs/detect/train30/weights/best.pt differ diff --git a/runs/detect/train30/weights/last.pt b/runs/detect/train30/weights/last.pt new file mode 100644 index 0000000..594cac0 Binary files /dev/null and b/runs/detect/train30/weights/last.pt differ diff --git a/src/data.py b/src/data.py index fe7e74e..3dfab1c 100644 --- a/src/data.py +++ b/src/data.py @@ -2,5 +2,26 @@ import cv2 import numpy as np import os from PIL import Image,ImageEnhance +from PIL import Image +import os +# 指定文件夹路径 +folder_path = 'your_folder_path' + +# 遍历文件夹中的所有文件 +for filename in os.listdir(folder_path): + # 检查文件是否是图片（这里以常见的图片格式为例） + if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.bmp', '.gif')): + # 打开图片 + img_path = os.path.join(folder_path, filename) + img = Image.open(img_path) + + # 转换为灰度图像 + gray_img = img.convert('L') + + # 保存灰度图像（可以保存到原文件夹或指定的新文件夹） + # 这里以在原文件夹保存为例，文件名不变，只是修改了内容 + gray_img.save(img_path) + + print(f"已将 {filename} 转换为灰度图像并保存") diff --git a/src/data.yaml b/src/data.yaml index bfcd392..3cabfd0 100644 --- a/src/data.yaml +++ b/src/data.yaml @@ -1,6 +1,6 @@ path: C:\workspace\le-yolo\data train: images/train -val: images/val -test: images/test +val: images/test +test: images/val nc: 1 names: [ 'person' ] \ No newline at end of file diff --git a/src/test.py b/src/test.py index 1a5e4fc..b1a14f1 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\train26\weights\best.pt") -results = model.predict("../res/3.mp4", show=True, save=True) +model = YOLO(r"C:\workspace\le-yolo\runs\detect\train28\weights\best.pt") +results = model.predict("../res/4.mp4", show=True, save=True) diff --git a/src/train.py b/src/train.py index 8fd8569..c7abe9b 100644 --- a/src/train.py +++ b/src/train.py @@ -1,5 +1,5 @@ from ultralytics import YOLO -model = YOLO(r"C:\workspace\le-yolo\runs\detect\train26\weights\last.pt") -model.train(data="data.yaml", epochs=100, batch=8, device='cpu', imgsz=640) +model = YOLO(r"C:\workspace\le-yolo\runs\detect\train28\weights\last.pt") +model.train(data="data.yaml", epochs=500, batch=8, device='cpu', imgsz=640) model.val() print('训练完成') \ No newline at end of file